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Schools and LLMs: Are you ready for the challenge?
by Fabio Massimo Zanzotto 11 Oct '23

11 Oct '23

Schools and LLMs: Are you ready for the challenge? Request for expression of interest for two 1-year open positions: (1) Research Fellowship - Assegno di Ricerca I Fascia (Requirements: Master's Degree) (2) Post-doc Research Fellowship - Assegno di Ricerca II Fascia (Requirements: Ph.D. Degree) Send a resume to <mailto:fabio.massimo.zanzotto@uniroma2.it> fabio.massimo.zanzotto(a)uniroma2.it to express your interest in one of the two positions. We offer: - an uncompetitive salary - no extra-benefits - no clear career path Yet, YOU can help us shape possible ways schools may integrate these disruptive LLMs to prepare "biological brains" for the vibrating future. These positions are within an Italian Research Project of National Interest (PRIN): "Class-tAIs: Artificial Intelligence and multi-brain connectivity as a buddy to Enhancing Competencies in students" Positions will start early next year and will be formally announced soon. Lab: Human-centric Art at the University of Rome Tor Vergata (Italy) Follow us on our newly established X account: @HumanCentricArt

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Job opening: PhD candidate in Inclusive Machine Translation (1,0 fte, 4 years)
by Fred Blain 11 Oct '23

11 Oct '23

Dear all, The Department of Cognitive Science and Artificial Intelligence at Tilburg University is delighted to announce a PhD vacancy for a highly motivated and talent student to contribute to the cutting-edge field of Machine Translation (MT). More specifically, the candidate will focus on the important yet challenging and exciting topic of Inclusive Machine Translation. Traditional Neural Machine Translation (NMT) systems tend to suffer from overgeneralizations, biases and lack of transparency. By mitigating biases and enhancing the transparency of NMT systems, the PhD researcher will work towards fairer and more inclusive MT. In line with the research interests of the Inclusive and Sustainable Machine Translation (ISMT) Lab, the objective of this research proposal is thus to investigate efficient and sustainable ways to address challenges related to inclusivity, bias and transparency in NMT. We offer a fully funded, 4-year PhD position, to conduct research and innovation activities in the field of text-to-text Machine Translation. Within the scope of this PhD, topics such as data compilation, data preprocessing and data analysis tailored to the needs of Machine Translation; development and neural architectures for uncovering bias and enhance explainabilty in translation and/or adapting architectures with successful application on text-to-text MT; adapting and adopting pre-trained language models, and human-centred design, evaluation and validation activities will be addressed. This position is hosted by the ISMT Lab of the CSAI department which focuses on (i) user- and use-case-centric MT, (ii) Inclusive Language Technology and (iii) Sustainable and Environmentally Conscious AI. Through its research activities it aims at promoting inclusiveness and cross-field collaborations, working with both academia and industry. The PhD candidate will be supervised by dr. Eva Vanmassenhove<https://research.tilburguniversity.edu/en/persons/eva-vanmassenhove> and dr. Frédéric Blain<https://research.tilburguniversity.edu/en/persons/fred-blain> (daily supervisors), and dr. Afra Alishahi<http://afra.alishahi.name/> (promotor). The work will be centred around objectives that will involve: Data Analysis, Data Processing Techniques, Model Training (design and implementation of state-of-the-art Deep Learning models for MT), Annotations (e.g. Linguistic Annotations), Bias Mitigation, Explainability Enhancement. The PhD candidate will work on tasks related to the aforementioned objectives in a multidisciplinary environment. This will allow the PhD candidate to gain expertise from the fields of Computational Linguistics, Computer Science, Engineering, Data Analysis, Machine- and Deep-Learning, and Cognitive Science. Job description * Develop and conduct research; * Write and defend a thesis within 4 years; * Write peer-reviewed papers for submission to international journals or leading conference proceedings in the first 3 years; * Give presentations about study results on a regular basis on workshops and conferences; * Participate in co-organising workshops; * Participate in ISMT and CSAI activities; * Participate in the Graduate Schools’ education program. Your Profile Candidates for this position should have a (research) Masters’ degree in: Artificial Intelligence and / or Computational linguistics with focus in at least one of the following fields: computational linguistics, natural language processing, machine translation, machine learning, data analysis and/or deep learning. In addition, we invite applicants who have a strong profile in a subset of these: * Interest in languages, NLP and/or Linguistics; * Excellent analytical and problem-solving abilities; * Ability to work both independently and collaboratively as part of a team to drive innovative research; * Proficiency in scientific programming languages, particularly Python (Numpy, Pandas, Matplotlib, Scikit-Learn, Tensorflow, PyTorch, etc.); * Some experience with (experimental) evaluation and statistical analyses; * Fluent spoken and written English communication skills; * Have a proactive and goal-directed attitude, good organizational skills, and the ability to get things done. Knowledge of another language than English (default language of communication) and / or Dutch is not an obligation but would be a major advantage given the research topic. Conditions of employment Fixed-term contract: 4 years. A full-time position. Starting date is negotiable. The selected candidate will start with a contract at Tilburg University at the Department of Cognitive Science and Artificial Intelligence for one year, concluded by an evaluation. Upon a positive outcome of the first-year evaluation, the candidate will be offered an employment contract for an additional 3 years. The PhD candidate will be ranked in the Dutch university job ranking system (UFO) as a PhD-student (promovendus) with a starting fulltime salary of € 2,770 gross per month in the first year, increasing up to € 3,539 the fourth year. A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually); Researchers from outside the Netherlands may qualify for a temporary tax-free allowance equal to 30% of their taxable salary. The University will apply for such an allowance on their behalf; The University will provide assistance in finding suitable accommodation (for foreign employees); Tilburg University is rated among the top Dutch employers and offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), also including excellent technical infrastructure, savings schemes and excellent sport facilities. The collective labor agreement of the Dutch Universities applies. Who we are The CSAI department (https://csai.nl) The Cognitive Science & Artificial Intelligence (CS&AI) department performs computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs on Cognitive Science & Artificial Intelligence and Data Science and Society. The department is partially housed on Tilburg University campus (Dante Building) and in the Deprez building (near Tilburg central station) as member of MindLabs<https://www.mind-labs.eu/>. We maintain a close collaboration with the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch. We are member of the Benelux Association for Artificial Intelligence<http://ii.tudelft.nl/bnvki/> (BNVKI), participate in the Special Interest Group for AI<http://ii.tudelft.nl/bnvki/?page_id=1247> (SIG AI), contributed to the Dutch AI Manifesto<http://ii.tudelft.nl/bnvki/wp-content/uploads/2018/09/Dutch-AI-Manifesto.pdf>, and participate in the Confederation of Laboratories for Artificial Intelligence Research in Europe<https://claire-ai.org/> (CLAIRE). The research group consists of about 70 researchers covering a broad range of topics relevant for cognitive science and artificial intelligence, and this includes approximately 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and signal processing, with a strong emphasis on quantitative methods. The ISMT Lab (https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ma…) Machine translation (MT), the task of automatically translating text in one language into text in another language using a computer system, has undergone many shifts since its inception in the late 1950s. The latest of which, neural machine translation (NMT), has reached unprecedented translation qualities at almost human-level performance, of course for some use-cases and under certain conditions. MT has become an indispensable tool for professional translators (to assist in the translation workflow), for commercial users, e.g., e-commerce companies (to make their content quickly available in multiple languages), to every-day users (to access information unrestricted by the language in which it is produced). User- and use-case-centric MT We focus on the specific user requirements as well as the domain, the language, the style, etc. of a specific use-case. Through smart data analysis, selection and processing and optimized models we investigate faster and better tools that are tuned towards users and use-cases. Inclusive Language Technology Current MT and NLP models exacerbate bias and may produce inaccurate or sometimes even offensive outputs. We explore bias-related language phenomena and develop techniques to mitigate bias is an important research direction we are undertaking. Sustainable and Environmentally Conscious AI We study the environmental impact of language technology and ways to cut down the use of computing resources without losing quality. Can we reduce, reuse and reorganize for a less intrusive technology? More information This PhD project is expected to start at the beginning of 2024; the preferred start date is February 1st 2024. For more information on this position or the project, please contact: dr. Eva Vanmassenhove (E.O.J.Vanmassenhove(a)tilburguniversity.edu<mailto:E.O.J.Vanmassenhove@tilburguniversity.edu>), or dr. Frédéric Blain (F.L.G.Blain(a)tilburguniversity.edu<mailto:F.L.G.Blain@tilburguniversity.edu>) Applications To apply for this position please submit a motivation letter, CV, thesis (and any publications), grade list and names of two references. The only way to apply is online. Deadline for applications: November 15th 2023. Interviews are expected to take place in the beginning of December 2023. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> -------- Met hartelijke groeten/With kind regards, Fred Blain Assistant Professor in AI Department of Cognitive Science & Artificial Intelligence Dante Building, D144 Tilburg School of Humanities and Digital Sciences Tilburg University, The Netherlands

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Postdoc position in Copenhagen (AAU, 24 months)
by Johannes Bjerva 11 Oct '23

11 Oct '23

Hi everyone, We are hiring a 2-year postdoc at the Copenhagen campus of Aalborg University. The project is on NLP in an educational context, with the goal of exploring methodology for automated generation of feedback, tailored to specific students. There is a substantial amount of freedom in terms of the methodological research direction. The position is funded by a Villum Synergy project, hence in addition to core NLP research, there will be an opportunity to publish in venues focused on learning technologies. You will be joining a growing department (with annual hiring rounds for assistant professors), and a fun NLP team with ph.d.s and postdocs focusing on low-resource NLP (https://typnlp.github.io/). * Application deadline: 8 November 2023 * Interviews likely in mid November * Starting date: 1 January 2024 (or shortly thereafter) * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. For more details and to apply, see the official call here: https://www.vacancies.aau.dk/scientific-positions/show-vacancy?vacancyId=12… Interested applicants are encouraged to reach out to me at jbjerva(a)cs.aau.dk. Best, Johannes Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers Vænge 15, 2450 Copenhagen, Denmark

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Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany
by Ivan Habernal 11 Oct '23

11 Oct '23

Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany Paderborn University is a high-performance and internationally oriented university with approximately 18,000 students. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our more than 2,600 employees in research, teaching, technology and administration a lively, family-friendly, equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future! The Natural Language Processing group lead by Prof. Dr. Ivan Habernal at the Faculty of Computer Science, Electrical Engineering and Mathematics offers a full-time position as Postdoctoral Researcher (f/m/d) (according to salary group E 14 TV-L) starting as soon as possible in the research area "Privacy-Preserving Natural Language Processing". This position will focus on a broad range of research questions related to privacy-preserving NLP, including large language models or data privatization. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy or other privacy frameworks is a plus. The position is planned for three years with a possible extension. The period of employment is governed by the Academic Fixed-Term Contract Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). An extension is possible within the time limits of the WissZeitVG. Your duties and responsibilities: * Independently conduct innovative research in the research area mentioned above * Take an active role in supervising students (doctoral-, master's and bachelor's students) * Operational and strategic management and further development by leading research project * Acquisition of new third-party funds * Teaching on the order of 4 teaching hours (SWS) per week Your profile: * PhD degree in computer science or a related area * Excellent analytical and programming skills * Publications in the area of privacy-preserving NLP/ML is a plus * Communicative and team-oriented personality * Independent, self-reliant and committed working style * Very good command of English, both written and spoken (German is a plus) We provide: * Work on highly relevant research topics and technologies in an international research team * A family-friendly workplace with the opportunity of partial remote work ("Mobiles Arbeiten") * Personnel development through further training opportunities * A supplementary employer pension scheme (VBL) Applications from women are particularly welcome and, in case of equal qualifications and experiences, will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Act (LGG), unless there are preponderant reasons to give preference to another applicant. Part-time employment is, in principle, possible. Applications from disabled people with appropriate suitability are explicitly welcome. This also applies to people with equal opportunities in accordance with the German social law SGB IX. Apply by sending a short letter of motivation and a curriculum vitae including your publication list to Prof. Dr. Ivan Habernal (ivan.habernal(a)uni-paderborn.de) with reference code 6137. Don't hesitate to contact Prof. Habernal should you have any questions regarding the position. Application deadline is on October 22th, 2023. The position remains open until filled. Information regarding the processing of your person data can be located at: https://www.uni-paderborn.de/zv/personaldatenschutz . Prof. Dr. Ivan Habernal Faculty of Computer Science, Electrical Engineering and Mathematics – Department of Computer Science Paderborn University Warburger Str. 100 33098 Paderborn

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Call for Papers: International Conference for Learner Corpus Research (LCR 2024)
by lcr2024＠ut.ee 10 Oct '23

10 Oct '23

Dear Colleagues, We are delighted to extend an invitation for the forthcoming International Conference for Learner Corpus Research (LCR) in 2024. Organized under the aegis of the Learner Corpus Association, this event brings together researchers, language instructors, and software developers who share an interest in using learner corpora for research. LCR 2024 in Tartu aspires to provide a favourable environment for dialogue and most recent research, allowing LCA members and other scholars in the field of LCR to share their latest ideas and findings. Recognizing Estonia's unique position as the homeland of a lesser-known non-Indo-European language, we see it as suitable to prioritize corpus research that delves into the learning of smaller languages and by learners with less common L1 backgrounds. However, research focused on languages, even those extensively studied, is, as always, mostly welcomed. Below, you will find the most essential details about the conference. Keynote speakers: Gaëtanelle Gilquin (Université Catholique de Louvain, Belgium) Ilmari Ivaska (Turun Yliopisto, Finland) Cristóbal Lozano (Universidad de Granada, Spain) Event Details: Date: 26-28 September 2024 Location: Institute of Foreign Languages and Cultures and the Institute of Estonian and General Linguistics. University of Tartu, Estonia. Categories: The conference will include keynote talks, paper presentations, work in progress reports, poster presentations and software demonstrations. Language: The language of the conference will be English. Topics: Areas of interest include, but are not limited to, the following: Language for academic purposes Language for specific purposes Language teaching, assessment and testing Learner corpus-based SLA studies Corpora as pedagogical resources Multimodal learner corpora Software for learner corpus analysis Corpus-based translation studies English as a Medium of Instruction (EMI) English as a Lingua Franca (ELF) Data mining and other explorative approaches to learner corpora Statistical methods in learner corpus studies Discourse analysis and pragmatics Studies related to lexis: semantics, metaphor, etc. NLP approaches Complexity, accuracy and/or fluency (CAF) analysis Abstracts: A short summary of the intended presentation, capturing the central idea along with the research questions, methods of research and the (possibly tentative) key conclusions, also citing any relevant previous work or theoretical background of the field On unpublished original research Complemented by 3-5 keywords Limited to 300 words, excluding keywords and references Anonymous: the abstract itself should hold no reference to the author or their affiliation Further information is available at our webpage: https://lcr2024.ut.ee/main Contact information: lcr2024(a)ut.ee Looking forward to your valuable contributions.

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CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 10 Oct '23

10 Oct '23

*LaTeCH-CLfL 2024: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature * to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in Malta. https://sighum.wordpress.com/latech-clfl-2024/ First Call for Papers (with apologies for cross-posting) Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023. *Topics and content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important dates* (tentative) Workshop paper due: December 18, 2023 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30 2024 Workshop date: March 21 or 22, 2024 *More on the organizers* Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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Research position in the topic of Large Language Models
by Eleftherios Avramidis 10 Oct '23

10 Oct '23

Dear all, The research group DRX of The German Research Center for AI in Berlin, under the direction of Prof. Dr. Gesche Joost, investigates smart technologies from a designerly perspective. For an upcoming research project, we are looking for a researcher (who could be a PhD candidate or a post-doc) to explore human-in-the-loop approaches to optimize LLMs for new AI products. The deadline is October 20. Please find more details at the URL: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-in-drx-539334.html best Lefteris -- Short name: Lefteris Pronouns: he/him Languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 Sitz der Gesellschaft: Kaiserslautern ---------------------------------------------------------------------

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LREC-COLING 2024: Deadline Extension
by Enrico Santus 09 Oct '23

09 Oct '23

LREC-COLING 2024 Call for Papers: Deadline Extension The LREC-COLING template MUST be used for your submission(s). If not, your submission(s) will be rejected. Visit Author’s Kit Page <https://lrec-coling-2024.org/authors-kit/> Two international key players in the area of computational linguistics, the ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), are joining forces to organize the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on 20-25 May, 2024. IMPORTANT DATES (All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) - 22 September 2023: Paper anonymity period starts - 20 October 2023: Final submissions due (long, short and position papers) - 20 October 2023: Workshop/Tutorial proposal submissions due - 22–29 January 2024: Author rebuttal period - 5 February 2024: Final reviewing - 19 February 2024: Notification of acceptance - 25 March 2024: Camera-ready due - 20-25 May 2024: LREC-COLING2024 conference SUBMISSION TOPICS LREC-COLING 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of natural language and computation, language resources (LRs) and evaluation, including spoken and sign language and multimodal interaction. Submissions are invited in five broad categories: (i) theories, algorithms, and models, (ii) NLP applications, (iii) language resources, (iv) NLP evaluation and (v) topics of general interest. Submissions that span multiple categories are particularly welcome. For more information, please visit: https://lrec-coling-2024.org/2nd-call-for-papers/ -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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Job Announcement: Assistant Professor of Translation Technologies and Artificial Intelligence
by Patrick Drouin 08 Oct '23

08 Oct '23

Assistant Professor of Translation Technologies and Artificial Intelligence Department of Linguistics and Translation Faculty or Arts and Sciences University of Montréal Job description The Department of Linguistics and Translation invites applications for a full-time assistant professor position in Translation Technologies and Artificial Intelligence. Responsibilities * The successful candidate will be expected to teach at the undergraduate and graduate levels, supervise graduate students, pursue research, publication and outreach activities as well as contribute to the academic life of the University. * Teaching activities will include training undergraduate students in the use of Machine Translation, Translation Technologies and the use of Artificial Intelligence in Translation. * Graduate research and teaching activities will focus on theoretical and methodological issues in Translation technologies, in particular Neural Machine Translation, Artificial Intelligence and Natural Language Processing from a multilingual perspective. * The successful candidate will be called upon to develop or consolidate collaborations with professional circles and work with research teams working in Artificial Intelligence, in Montreal, in Canada and internationally. Requirements * PhD in translation, language sciences, computer science or a relevant field; * Excellent research and publication record in the field; * Demonstrated ability to provide high quality university education; * Membership in the Ordre des traducteurs, terminologies et interprètes agréés du Québec (OTTIAQ) or a professional translation association will be considered an asset. * Have sufficient knowledge of the French language or be determined to learn it once on the job through the French language learning support program offered by UdeM, under the Language Policy of the Montreal university. The successful candidate's file, depending on their expertise and interest, could be proposed for a position as an IVADO Professor. These positions offer improved starting conditions. The person will participate in the ambitious project (IAR3) aimed at the development and adoption of robust, reasoning and responsible artificial intelligence for which IVADO has just obtained an Apogée grant. How to submit your application The application file sent to the Department Chair should contain the following documents: * a cover letter; application must include in the cover letter one of the following statements: “I am a citizen/ permanent resident of Canada.” or “I am not a citizen or permanent resident of Canada.” * a research statement (approximately one page); * a curriculum vitæ; * a copy of recent publications or research work; * a statement on teaching philosophy (maximum one page); * a research statement (maximum two pages); * three letters of recommendation are also to be sent directly to the Department Chair by the referees. Application file and letters of recommendation must be sent by email before November 15, 2023 to: Patrick Drouin, Chair Department of linguistics and Translation Faculty des Arts and Sciences Email : direction(a)ling.umontreal.ca Website : https://ling-trad.umontreal.ca

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Two tenure-track positions in Computational Linguistics at Indiana University, Bloomington
by Francis Tyers 07 Oct '23

07 Oct '23

Apologies for cross-posting. Dear all, https://indiana.peopleadmin.com/postings/20630 The Department of Linguistics at Indiana University (https://linguistics.indiana.edu/) invites applications for up to two tenure-track positions at the level of Assistant Professor in Computational Linguistics beginning Autumn 2024. Candidates need to have a research area in Computational Linguistics that aligns with interests in the department and/or helps strengthen the research and teaching profile of the Computational Linguistics programs at IU. Preference will be given to candidates with a research focus in the area of speech technologies (recognition or synthesis), with an interest in developing methodologies for under-resourced languages or in resource-constrained environments, but other research areas will also be considered. Evidence of an active research agenda and a strong commitment to innovative teaching is required for consideration. A PhD in computational linguistics or natural language processing is required at the time of appointment. The program operates in a very interdisciplinary environment, with close connections to Cognitive Science, Computer Science, Information and Library Science, Psychology, Speech and Hearing Sciences, and the language programmes, and candidates are expected to fit into this collaborative landscape. Collaborative research and joint advising of students in the departments of Computer Science and Informatics will be possible. The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Inquiries can be directed to Dr. Sandra Kuebler at skuebler(a)iu.edu or Dr. Francis Tyers at ftyers(a)iu.edu. Best regards, Francis M. Tyers

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Call for academic position IDIA - University of Chile
by Felipe Bravo 07 Oct '23

07 Oct '23

We are seeking a talented, highly motivated, academic with the potential to expand the research and teaching activities related to the broad field of data science at Universidad de Chile. This is a unique opportunity to join the recently established Initiative for Data and Artificial Intelligence (IDIA) and collaborate with an interdisciplinary group of academics from the Faculty of Physical and Mathematical Sciences (FCFM) at Universidad de Chile The position is full-time, open-rank, and leads to a tenure track. Salary will depend on the initial evaluation, for reference, the starting salary for an Assistant Professor ranges between CLP$3.400.000 and CLP$4.000.000 per month before taxes. You are expected to lead a successful research agenda that attracts grant funding, as well as be committed to teaching activities both for undergraduate and graduate programmes. As part of IDIA, you will play an active role in management and decision-making. As a member of Universidad de Chile, you will be responsible for promoting equality, diversity, and inclusion in all instances within our institution. Teaching load is 5 courses per 2 years. You will have a doctorate and postdoctoral experience that demonstrates your leadership as a researcher in the fields of data science, machine learning, or artificial intelligence. Furthermore, you will have the ability to foster collaboration in the abovementioned fields within FCFM, in particular, to engage and motivate students at all levels and from all backgrounds. You will also participate in our Master of Data Science as lecturer and supervisor, thus interacting with postgraduate students of a broad background working on applied and theoretical data science projects. For an informal discussion about the post, please contact the IDIA Director Dr Felipe Tobar (ftobar [AT] uchile [DOT] cl) Applications should be submitted directly to the website https://concurso-academico.uchile.cl/ and the application details are available here <https://idia.uchile.cl/wp-content/uploads/2023/09/BASES_IDIA_2305_Escuela_d…> *Deadline: 30 November 2023.* *Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world-class research groups.* Source: https://idia.uchile.cl/2023/09/call-for-academic-position-idia/

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Corpus MOOC - free online course running right now
by Brezina, Vaclav 06 Oct '23

06 Oct '23

Hi all, Lancaster University is currently running a free online course on Corpus linguistics (8 weeks). There are some very interesting discussions on the platform already and a dedicated team of mentors is ready to answer your questions about CL and its various applications. It's still possible to register for free: https://www.futurelearn.com/courses/corpus-linguistics Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D9F871.689A8410]@vaclavbrezina [cid:image002.png@01D9F871.689A8410]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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OFAI 2023 Fall Lecture Series
by Tristan Miller 06 Oct '23

06 Oct '23

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2023 Fall Lecture Series. The talks are intended to familiarize attendees with the latest research developments in AI and related fields, and to forge new connections with those working in other areas. The main theme of the current series is large language models. Lectures will be held at 18:30 Vienna time online via Zoom (meeting ID: 842 8244 2460; passcode: 678868); in-person attendance at OFAI is also possible for certain lectures. Attendance is open to the public and free of charge. No registration is required. For further details, sign up to our mailing list at <https://www.ofai.at/newsletter.html> or check the Lecture Series web page at <https://www.ofai.at/lectures>. Schedule: 11 October 2023 at 18:30 CEST (UTC+2) Nafise Sadat Moosavi (University of Sheffield) Challenges of End-to-End Reasoning in NLP Calendar link: https://www.ofai.at/calendar/2023-10-11moosavi.ics 23 October 2023 at 18:30 CEST (UTC+2) Simon Penny (University of California Irvine and Nottingham Trent University) Skill: Know-how, Artisanal Practices and 'Higher' Cognition Calendar link: https://www.ofai.at/calendar/2023-10-23penny.ics 8 November 2023 at 18:30 CET (UTC+1) Erich Prem (University of Vienna) Ethics of AI: Good AI Versus the Totalitarian Enforcement of Norms Calendar link: https://www.ofai.at/calendar/2023-11-08prem.ics 22 November 2023 at 18:30 CET (UTC+1) Dagmar Gromann (University of Vienna) Do Large Language Models Grasp Metaphors? Calendar link: https://www.ofai.at/calendar/2023-11-22gromann.ics 6 December 2023 at 18:30 CET (UTC+1) Ivan Habernal (Paderborn University) Privacy in Natural Language Processing: Are we There yet? Calendar link: https://www.ofai.at/calendar/2023-12-06habernal.ics 20 December 2023 at 18:30 CET (UTC+1) Thomas Graf (Stony Brook University) Linguistics and Symbolic Computation in a World of Large Language Models Calendar link: https://www.ofai.at/calendar/2023-12-20graf.ics 17 January 2024 at 18:30 CET (UTC+1) Stefanie Höhl (University of Vienna) Social Rhythms and Biobehavioral Synchrony in Early Human Development Calendar link: https://www.ofai.at/calendar/2024-01-17hoehl.ics 31 January 2024 at 18:30 CET (UTC+1) Clemens Heitzinger (TU Wien) Reinforcement Learning and its Application in Medicine and Large Language Models Calendar link: https://www.ofai.at/calendar/2024-01-31heitzinger.ics 14 February 2024 at 18:30 CET (UTC+1) Brigitte Krenn and Stephanie Gross (OFAI) Bias in Language Models Illustrated by the Example of Gender Calendar link: https://www.ofai.at/calendar/2024-02-14krenn.ics -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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Call For Volunteers: EMNLP 2023
by Mamoru Komachi 06 Oct '23

06 Oct '23

A limited number of student volunteers are needed for the success of EMNLP 2023. Both online and in-person event volunteers are needed. Tasks may include assisting at the registration desk, filling delegate packs, managing poster board sessions and displays, serving as volunteer coordinator for the day, and/or AV/technical support such as (but not limited to) managing social media (X/Twitter) and providing assistance for conference events including tutorials, the main conference, and workshops (either online or in-person versions). In exchange for one full day equivalent of work, students receive free registration to the main conference (including the ACL membership fee of the current year), workshops and tutorials, and the social events. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to the conference events. Webpage: https://2023.emnlp.org/volunteers Application deadline: October 20, 2023 Notification of acceptance: November 3, 2023 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Submission Procedure Applicants for the Student Volunteer Program must be full-time students and should submit the completed application form where we ask a few questions and a one-page CV (resume). Students should make travel arrangements and accommodations independent of the results of the application. We plan to offer the option of reduced rate student housing for accepted volunteers, but please note that you are still responsible for the cost of accommodation. EMNLP Singapore 2023 Volunteer Registration Application: https://docs.google.com/forms/d/e/1FAIpQLScHMDNQJbdU9dT4eUZTpxXIJkhF3rc0_Zv… Contact Details Student Volunteers Chairs : emnlp2023-volunteers(a)gmail.com Kevin Duh, Johns Hopkins University (USA) Ekaterina Kochmar, MBZUAI (UAE) Mamoru Komachi, Hitotsubashi University (Japan)

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Call for participation: SCAI Eval 2024 Shared Task on Conversational Search Evaluation
by Johannes Kiesel 06 Oct '23

06 Oct '23

SCAI Eval 2024 Shared Task on Conversational Search Evaluation ============================================================== Conversational search has many faces, and we want so see them all. Rather than evaluating systems, this shared task calls on the community to gather comprehensive evaluation resources to provide a clearer picture of evaluation: 1. Example data of diverse search-oriented conversations; 2. Definitions and annotation guidelines for aspects to evaluate (e.g., correctness, coherence, readability); and 3. Implementations of evaluation metrics. Both novel and already published contributions are welcome. Contributors will be invited to present at the next SCAI workshop (venue to be determined) and co-author a SIGIR Forum article. So join our mailing list at https://groups.google.com/g/scai-info to stay up-to-date with our task and get into contact. Web: https://scai.info/scai-eval-2024/ (details, instructions, examples) Mailing list: https://groups.google.com/g/scai-info Submission deadlines: - January 15, 2024: deadline for aspect definitions - January 29, 2024: deadline for data and metrics Task Committee: - Johannes Kiesel, Bauhaus-Universität Weimar - Maik Fröbe, Friedrich-Schiller-Universität Jena - Andrea Papenmeier, University of Twente - Alexander Frummet, Universität Regensburg - Paul Owoicho, University of Glasgow -- Johannes Kiesel Bauhaus-Universität Weimar Bauhausstr. 9a, Room 106 99423 Weimar, Germany Phone: +49 (0)3643 - 58 3720

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 06 Oct '23

06 Oct '23

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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Corpus linguistics & applied linguistics research 2023 online talks
by pascualf＠um.es 06 Oct '23

06 Oct '23

I’m sharing the following information about "Corpus linguistics & applied linguistics research 2023", a series of talks organised by the University of Murcia from 11 to 30 October 2023. The talks will take place via ZOOM. This is a free event. Registration links will be provided for each of the talks below. After registration, you’ll receive an email with the webinar link. Contrastive approaches in corpus linguistics research Dr Niall Curry, Manchester Metropolitan University October 11, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_d68rw3V_TnOGNWDg6sXHnw Using Corpus Linguistics to Interpret the Law Dr Jesse Egbert, Northern Arizona University October 18, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_uAmw72l1T-en-4y0LnZffg Multiple correspondence analysis and corpus linguistics research Dr Isobelle Clarke, Lancaster University October 25, 17:30 (Madrid time) / 16:30 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_s0aPEXAFTQe_App0qS7Erg The Core Metadata Schema for L2 data: Collaborative efforts towards improved data findability, metadata quality and study comparability in L2 research Dr Magali Paquot, UCLouvain October 30, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_a6Wkw7llSG2HrvJ9yIGKvQ You can check out the 2021 and 2022 talks here: https://www.youtube.com/channel/UCKjKIIQL6u1mXD2V9ZaT-_Q/featured Please feel free to share this information with anyone interested in these research areas. Best wishes, Pascual Pérez-Paredes https://webs.um.es/pascualf

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Research fellowship in NLP / event extraction at the University of Oslo
by Erik Velldal 05 Oct '23

05 Oct '23

[Apologies for cross-posting] A postdoc-level position as Research Fellow in Natural Language Processing is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The 3-year position is affiliated with a new research project focusing on event extraction in the domain of armed conflicts, a cross-disciplinary collaboration bridging NLP and political science / conflict research. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/251514/researcher-in-natural… The closing date is November 2nd, 2023. Please do not hesitate to contact me for any further information. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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New York University Abu Dhabi Research Assistant or Post-Doctoral Associate Opening
by Nizar Habash 05 Oct '23

05 Oct '23

Hello everyone -- We are hiring in Camel Lab at New York University Abu Dhabi! We are looking for research assistants or postdocs who are interested in Arabic Natural Language Processing. *Camel Lab website: http://www.camel-lab.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.camel-2Dlab.com_&d=…>* *Camel Lab publications: http://scholar.camel-lab.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__scholar.camel-2Dlab.com…>* *Application Links:* *Research Assistant (Bachelors or Masters required) - * http://apply.interfolio.com/133722 *Post-Doctoral Associate (PhD required) - * http://apply.interfolio.com/133725 -- Nizar Habash Professor of Computer Science New York University Abu Dhabi https://www.nizarhabash.com/

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Postdoctoral position in computational linguistics with specialisation in language grounding to vision, robotics, and beyond (University of Gothenburg, Sweden)
by Simon Dobnik 03 Oct '23

03 Oct '23

Postdoctoral position in computational linguistics with specialisation in language grounding to vision, robotics, and beyond University of Gothenburg, Sweden Project Description: The broad focus of this position is computational modelling of language (computational linguistics, natural language processing or language technology) in the context of data from other modalities such as vision, perception and action from the perspective of human-centred AI. The topics relevant for this position are computational modelling of language and perception, human-robot interaction, situated spoken dialogue systems, and computational representation of meaning (semantics). The work will be done within the Cognitive Systems group (lead by Simon Dobnik, https://www.gu.se/en/about/find-staff/simondobnik ) which one of the four research groups within The Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/clasp and is devoted to research and advanced training in the application of probabilistic modelling and machine learning methods to core issues in linguistic theory and cognition. The postdoctoral candidate will will have an opportunity further their scientific skills and advance the scientific filed by conducting research in collaboration with the research group by connecting ideas from several of the following areas: - Computational semantics, - Grounding language in action and perception, - Generation and understanding of spatial language, - Generation of image descriptions, visual question answering, visual dialogue - Referring in situated dialogue, - Situated agents / robots and instruction generation and following, - Machine learning with neural networks, - Cross-domain model transfer, - Learning from small data, - Combining top-down (expert-driven) and bottom-up (dataset-driven) models, - Reasoning and inference including Bayesian inference, - Model interpretation, testing and evaluation of unwanted social bias, - Crowd-sourcing for collection and evaluation of research data. Application Deadline: November 21, 2023 (end of the day, GMT+1). Formal announcement and application procedure: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… (English) and https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… (Swedish) Contact: For more information about the research / project focus relevant to the position, send an email to Simon Dobnik, Professor of Computational Linguistics, simon.dobnik(a)gu.se <mailto:simon.dobnik@gu.se> For other questions, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga(a)gu.se <mailto:sharid.loaiciga@gu.se> — Simon Dobnik Professor of Computational Linguistics CLASP & FLoV, University of Gothenburg https://www.gu.se/en/about/find-staff/simondobnik

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FINAL CALL - BCS SEARCH INDUSTRY AWARDS 2023
by Tony Russell-Rose 03 Oct '23

03 Oct '23

BCS SEARCH INDUSTRY AWARDS 2023 *** FINAL CALL *** We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2023. Presented by the Information Retrieval Specialist Group of the BCS, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application today. CATEGORIES This year we are offering five awards: 1. Best search user experience recognises outstanding application of user-centred design principles (to a web site / mobile app / information resource, etc.). Previous winners include: * Boston University/Reza Rawassizadeh, Yi Rong for their work on ODSearch * LexisNexis for their work on Open question answering on Lexis+ 2. Most promising start up (or new enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include: * Giotto AI, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report * Resolute.AI, an AI driven platform to search major FDA databases in the public domain in a federated way * Search|hub for their work on developing and commercializing a system that infuses human understanding into existing search applications * ContextFlow, for their work on developing and commercializing the radiology image search technology developed in the EU FP7 Khresmoi project 3. Best open source project rewards the remarkable contributions of individuals and communities in fostering collaboration, transparency, and the democratization of knowledge. Previous winners include: * CiteSeerX, one of the largest open source academic search engines with over 10 million documents 4. Search professional of the year is made to an individual who has made a significant contribution to the discipline through their work and professionalism. Previous winners include: * Adam Tocock, Library Assistant at NHS * Stuart Mackie, Lead Data Scientist at BiP Solutions 5. Best paper / presentation (at Search Solutions). Previous winners include: * Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation” * Olivia Foulds, University of Strathclyde: “Crossing the 49th Parallel in Data and Information Science” * Mark Harwood, Elastic: “Tackling toxic content with the elastic stack” * Frederic Fol Leymarie, DynAikon Ltd: “Human Visual Perception + Computer Vision to provide greater User Control for Shape-based Search” The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today! JUDGING PANEL Winners will be selected by our panel of judges (details to be announced shortly). AWARDS CEREMONY The awards ceremony will take place during Search Solutions in November 2023. Winners will receive a framed certificate and a public listing on the IRSG Awards site. APPLY We’ve designed the application process to be simple to complete: https://forms.gle/AUGsRBV9W2JE8S3x9 If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… Nominations will remain open until 31st October. CONTACT If you have any questions on the above, please contact the IRSG vice chair at tgr2uk+irsg(a)gmail.com ABOUT IRSG The IRSG is a Specialist Group of BCS. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources. BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.

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21st International Conference on Software and Systems Reuse (ICSR 2024): First Call for Papers
by Announce 03 Oct '23

03 Oct '23

*** First Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: 12th February, 2024 AoE ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We invite submissions on new and innovative research results and industrial experience reports dealing with all aspects of software reuse within the context of the modern software development landscape. Topics include but are not limited to the following. 1 Technical aspects of reuse, including • Reuse in/for Quality Assurance (QA) techniques, testing, verification, etc. • Domain ontologies and Model-Driven Development • Variability management and software product lines • Context-aware and Dynamic Reuse • Reuse in and for Machine Learning • Domain-specific languages (DSLs) • New language abstractions for software reuse • Generative Development • COTS-based development and reuse of open source assets • Retrieval and recommendation of reusable assets • Reuse of non-code artefacts • Architecture-centric reuse approaches • Service-oriented architectures and microservices • Software composition and modularization • Sustainability and software reuse • Economic models of reuse • Benefit and risk analysis, scoping • Legal and managerial aspects of reuse • Reuse adoption and transition to software reuse • Lightweight reuse approaches • Reuse in agile projects • Technical debt and software reuse 2 Software reuse in industry and in emerging domains • Reuse success stories • Reuse failures, and lessons learned • Reuse obstacles and success factors • Return on Investment (ROI) studies • Reuse in hot topic domains (Artificial Intelligence, Internet of Things, Virtualization, Network functions, Quantum Computing, etc.) We welcome research (16 pages) and industry papers (12 pages) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: • Omit all authors’ names and affiliations from the title page • Do not include the acknowledgement section, if you have any, in the submitted paper • Refer to your own work in the third person • Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing your identity Both research and industry papers will be reviewed by members of the same program committee (check the website for details). Proceedings will be published by Springer in their Lecture Notes for Computer Science (LNCS) series. An award will be given to the best research and the best industry papers. The authors of selected papers from the conference will be invited to submit an extended version (containing at least 30% new material) to a special issue in the Journal of Systems and Software (Elsevier). More details will follow. IMPORTANT DATES • Abstract submission: January 22, 2024, AoE • Full paper submission: January 29, 2024, AoE • Notification: March 8, 2024, AoE • Camera Ready: March 22, 2024, AoE • Author Registration: March 22, 2024 AoE ORGANISATION Steering Committee • Eduardo Almeida, Federal University of Bahia, Brazil • Goetz Botterweck, Lero, University of Limerick, Ireland • Rafael Capilla Sevilla, Universidad Rey Juan Carlos, Spain • John Favaro, Trust-IT, Italy • William B. Frakes, IEEE TCSE committee on software reuse, USA • Martin L. Griss, Carnegie Mellon University, USA • Oliver Hummel, University of Applied Sciences, Germany • Hafedh Mili, Université du Québec à Montréal, Canada • Nan Niu, University of Cincinnati, USA • George Angelos Papadopoulos, University of Cyprus, Cyprus • Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs • Achilleas Achilleos, Frederick University, Cyprus • Lidia Fuentes, University of Malaga, Spain

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Fully funded PhD position in Multilingual Natural Language Processing (ÚFAL, Charles University, Prague)
by Jindrich Libovicky 03 Oct '23

03 Oct '23

We seek a candidate for a fully funded PhD position in Multilingual Natural Language Processing (NLP) at the Institute of Formal and Applied Linguistics (ÚFAL), Charles University, Prague. This opportunity offers the chance to work alongside Jindřich Libovický on an innovative project focused on enhancing multilingual language representations by fostering language neutrality and expanding language coverage. The prospective PhD thesis topics include: * Investigating the encoding of cultural aspects of meaning, such as moral values, in language representations, including methodologies to promote cultural awareness in multilingual NLP systems. * Improving zero- or few-shot cross-lingual transfer between languages with and without using parallel text data. * Developing new subword tokenization methods that will be more suitable for cross-lingual alignment than current statistical heuristics. The specific research topic is open for negotiation, allowing you to contribute your unique ideas and interests. ÚFAL boasts a vibrant community at the forefront of cutting-edge natural language processing research. You will have ample opportunities for collaboration and knowledge exchange with esteemed researchers, particularly the groups led by Ondřej Bojar, Daniel Zeman, Pavel Pecina, Zdeněk Žabokrtský, and Jan Hajič. Charles University is the premier institution in Czechia, attracting exceptional talents from both the local and international academic spheres. To apply for this opportunity, kindly submit the following documents to <surname> at ufal dot mff dot cuni dot cz: * A compelling cover letter introducing yourself and explaining your interest in the position. * An up-to-date CV highlighting your academic achievements and relevant experience. * A concise research plan addressing your past, current, and future research interests. The names and contact details of two references who can provide insights into your qualifications and potential. Fluency in English is essential, and knowledge of Czech is not required. While candidates with a strong background in natural language processing and machine learning are preferred, we also welcome applicants with diverse academic backgrounds. Please ensure that your application reaches us by October 15, 2023. The expected starting date for the position is March 1, 2024. Thanks, Jindřich Libovický ------ Charles Univeristy, Institute of Formal and Applied Linguistics Malostranské náměstí 25 118 00 Praha Czech Republic Email: <my_surname> at ufal dot mff dot cuni dot cz Web: https://ufal.mff.cuni.cz/jindrich-libovicky

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JADT 2024: Call for Papers
by Serge Heiden 03 Oct '23

03 Oct '23

Dear Colleagues, We are glad to announce the call for papers of JADT 2024, 11th International Conference on the Statistical Analysis of Textual Data, that will be held in Brussels (Belgium), from June 25 to 27, 2024 (organised by the by the SeSLA – Séminaire des Sciences du Langage of the UCLouvain Saint-Louis, Brussels LASLA, with the collaboration of the LASLA – Laboratoire d’Analyse statistique des Langues anciennes of the University of Liege). This biennial conference, which has constantly been gaining importance since its first occurrence in Barcelone (1990), is open to all scholars and researchers working in the field of textual data analysis; ranging from lexicography to the analysis of political discourse, from information retrieval to marketing research, from computational linguistics to sociolinguistics, from text mining to content analysis. After the success of the previous meetings (http://lexicometrica.univ-paris3.fr), the three-day conference in Brussels will continue to provide a workshop-style forum through technical paper sessions, invited talks, and panel discussions. The conference website is https://jadt-2024.sciencesconf.org/?lang=en. *Conference topics* The themes of interest of the conference concern the application of statistical models and tools in the following domains: • Textometry, Statistical Analysis of Textual Data • Exploratory Textual Data Analysis • Corpus and Quantitative Linguistics • Natural Language Processing • Text Corpora Encoding • Statistical Analysis of Unstructured and Structured Data • Text Categorisation, Fuzzy Classification and Visualization • Information Retrieval and Information Extraction • Text Mining, Web Mining, Semantic Web • Stylometry, Discourse analysis • Software for Textual Data Analysis • Machine Learning for Textual Data Analysis • Multilingual and parallel corpora *Important dates* • Title and Abstract (max 20 rows): November 30, 2023 • First Version of Paper (Full-text): February 1, 2023 • Notification to Authors and opening of the registration: March 1, 2024 *Contacts* For further information or enquiries, jadt-2024-slb(a)uclouvain.be Hoping to see your active participation in the conference, we send you our best regards Anne Dister Dominique Longrée -- Dr. Serge Heiden, slh(a)ens-lyon.fr, https://www.textometrie.org ENS de Lyon / UMR IHRIM 5317

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Invitation to participate in the challenge Multimodal Understanding of Smells in Texts and Images (MUSTI) @ MediaEval 2022
by ali hürriyetoglu 03 Oct '23

03 Oct '23

Dear all, We are offering a task on Multimodal Understanding of Smells in Texts and Images (MUSTI) within the MediaEval benchmark on the detection of smell-oriented relations in historical images and historical texts in English, French, German, and Italian. Our focus is on determining whether an image and text refer to the same smell source(s) and what are the smell sources that make this pair related. The data sets contain several thousand pairs of images and texts annotated by native speakers who are experts in olfactory information processing. This is the second iteration of MUSTI. We are adding a zero-shot task this year. Please refer to the following publications for an overview [1] and baselines [2] for more information. Registration to participate is now open, and submissions will be due in late November (the deadline for submission to be adjusted). You will have the chance to present your work at the 14th Annual MediaEval Workshop 1-2 February 2024, which is collocated with MMM 2024 in Amsterdam, the Netherlands, with remote participation also possible. More information can be found on MUSTI: https://multimediaeval.github.io/editions/2023/tasks/musti/ MediaEval: https://multimediaeval.github.io/editions/2023/ MMM: https://mmm2024.org We would like to invite you to participate in this task. Please let us know if you have any questions. We are looking forward to hearing from you! Best regards, Ali Hürriyetoğlu (on behalf of organizing committee) [1] Hürriyetoğlu, A., Paccosi, T., Menini, S., Mathias, Z., Pasquale, L., Kiymet, A., ... & van Erp, M. (2022). MUSTI-Multimodal Understanding of Smells in Texts and Images at MediaEval 2022. In Proceedings of MediaEval 2022 CEUR Workshop. URL: https://cris.fbk.eu/retrieve/a8af3795-9055-4cee-8465-f4194a05c5d5/paper9634… [2] Akdemir, K., Hürriyetoğlu, A., Troncy, R., Paccosi, T., Menini, S., Zinnen, M., Christlein, V. (2022). Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER. In Proceedings of MediaEval 2022 CEUR Workshop. URL: https://cris.fbk.eu/retrieve/6112053b-b228-41e9-b763-c33acc876da9/paper6505…

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White paper and Case Study for legal literacies regarding cross-border corpora building
by heather froehlich 02 Oct '23

02 Oct '23

Dear all, In August 2022, the UC Berkeley Library and Internet Archive were awarded a grant from the National Endowment for the Humanities (NEH) to study legal and ethical issues in cross-border text and data mining (TDM). The project, entitled Legal Literacies for Text Data Mining – Cross-Border (“LLTDM-X”), supported research and analysis to address law and policy issues faced by U.S. digital humanities practitioners whose text data mining research and practice intersects with foreign-held or -licensed content, or involves international research collaborations. Information in this email is culled from their blog post announcement ( https://buildinglltdm.org/2023/10/02/wrapping-up-our-neh-funded-project-to-… ) In early 2023, we hosted a series of three online round tables with U.S.-based cross-border TDM practitioners and law and ethics experts from six countries. The round table conversations were structured to illustrate the empirical issues that researchers face, and also for the practitioners to benefit from preliminary advice on legal and ethical challenges. Upon the completion of the round tables, the LLTDM-X project team created a hypothetical case study that (i) reflects the observed cross-border LLTDM issues and (ii) contains preliminary analysis to facilitate the development of future instructional materials. We also charged the experts with providing responsive and tailored written feedback to the practitioners about how they might address specific cross-border issues relevant to each of their projects. This project lead to two significant outcomes: *1: Case study* The Project Team developed a hypothetical case study reflective of “typical” cross-border LLTDM issues that U.S.-based practitioners encounter. The CASE STUDY <https://docs.google.com/document/d/1KUK9HoNrLwEMcV_lNDKjxSnH3ipvhUWU2jbJj2g…> examines needs and concerns regarding cross-border copyright, contracts, and privacy & ethics variables across two distinct paradigms: first, a situation where U.S.-based researchers perform all TDM acts in the U.S., and second, a situation where U.S.-based researchers engage with collaborators abroad, or otherwise perform TDM acts in both U.S. and abroad. <https://docs.google.com/document/d/1KUK9HoNrLwEMcV_lNDKjxSnH3ipvhUWU2jbJj2g…> *2: White paper *The project team developed a WHITE PAPER <https://docs.google.com/document/d/1KR0sXEg3M2eJDV0ZvZDafv-6J2XY2lA9vF9GHYz…> providing a comprehensive description of the project, including origins and goals, contributors, activities, and outcomes. Of particular note are several project takeaways and recommendations, which they hope will help inform future research and action to support cross-border text data mining. This is a particularly US-centric perspective on an important topic, but there was significant input from legal experts across the world, including: - Andrew Charlesworth, University of Bristol (privacy) - Juan Carlos Fernández-Molina, Universidad de Granada (licensing) - Sean Fiil-Flynn, American University Washington College of Law (copyright) - Lucie Guibault Dalhousie University (copyright, licensing) - Heidi McKee, Miami University of Ohio (ethics) - Argyri Panezi, IE Law School & Stanford University (privacy) - James Porter, Miami University of Ohio (ethics) - Matthew Sag, Emory University School of Law (copyright) - Ben White, Bournemouth University (copyright) - Fernando Esteban de la Rosa, Universidad de Granada (licensing) - João Quintais, University of Amsterdam (copyright) - Ryan Calo, University of Washington (privacy) While I understand this may not be of interest to all on the corpora-list, I do hope this can provide some useful starting points for those of us worried and/or stymied by the copyright question in their research, especially for those of us with collaborators or research interests that exist beyond the USA. Thank you, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Publication of the LASLA and LASLA CoNLL-U corpus
by Passarotti Marco Carlo (marco.passarotti) 02 Oct '23

02 Oct '23

Dear all, We are happy to announce that the LASLA Latin corpus has been published Open Access under a CC-BY-NC-SA 4.0 license. The portion of the LASLA corpus published comprises ca 1.7 million tokens of works from the Classical period, manually annotated with the following information: lemma, Part-of-Speech, morphological features, partial syntactic information, and metadata. The LASLA has ongoing annotation projects, whose results will be uploaded to the Dataverses when they are finalised. We hope to provide a service to the community focusing on Latin linguistics and Latin literary studies, as well as to serve the most recent NLP trends. The corpus can be accessed in three Dataverses, each containing one specific format. We recommend using the “Tree View” to have an idea of what files can be found in the Dataverse. * DAT and APN (resp. https://doi.org/10.58119/ULG/27VZID and https://doi.org/10.58119/ULG/QJJ0SA) are published with detailed documentation on the codes used and all the annotation choices implemented by the LASLA across the years. We hope that such documentation can support an optimal exploitation of the data by external researchers. * BPN files (https://doi.org/10.58119/ULG/49UQNU), which were previously shared with Data Transfer Agreements with external partners. Beyond documentation purposes, this Dataverse also provides the original version on which the CoNLL-U format was based (see below) The LASLA files can be exploited via (free) online interfaces: Opera Latina<http://cipl93.philo.ulg.ac.be/OperaLatina/> (for which an account can be requested by contacting Lauren Simon, email L.Simon(a)uliege.be<mailto:L.Simon@uliege.be>), which enables structured searches through the files; HyperbaseWeb<http://hyperbase.unice.fr/hyperbase/> (Latin bases), for which you find documentation here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…> and here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…>, and that does not require an account. HyperbaseWeb allows complex statistical queries to be carried out. Following the Data Transfer Agreement for BPNs, an intense collaboration with the LiLa ERC project<https://lila-erc.eu/> started. The output of this collaboration is the following: * The LASLA corpus is linked to the LiLa Knowledge Base and can be queried, jointly with all the other resources linked, via the LiLa Interactive Search Platform<https://lila-erc.eu/LiLaLisp/> and SPARQL<https://lila-erc.eu/sparql/> endpoint. The triples of the linking are published openly here. * The LiLa team has converted the BPN files into CoNLL-U files, enriching the annotation with the URIs of tokens and lemmas as they are found in the LiLa Knowledge Base. This version of the corpus can be found on Zenodo<https://doi.org/10.5281/zenodo.5961377> and Github<https://github.com/CIRCSE/LASLA>. We hope that this collaboration will trigger many others, with other partners enriching and providing new exploitation pathways for the LASLA corpus. For the moment, have fun! With kind regards, The LASLA and LiLa teams Prof. Marco C. Passarotti Computational Linguistics Index Thomisticus Treebank https://itreebank.marginalia.it/ ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994) CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html [cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan] [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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First CFP: Special issue on ‘The AI Interface: Designing for the Ideal Machine-Human Experience’ - Computers in Human Behavior
by Tony Russell-Rose 02 Oct '23

02 Oct '23

First CFP: Special issue on ‘The AI Interface: Designing for the Ideal Machine-Human Experience’ - Computers in Human Behavior The AI Interface: Designing for the Ideal Machine-Human Experience In this call, we are looking to expand on our understanding of the psychology of design, into the way in which we deliberate and design for AI interfaces such as chatbots, robotics, IoT, AI assistants, and more. Artificial intelligence (AI) and machine learning (ML) are transformative technologies that organizations everywhere are investing heavily in. AI has the ability to replicate tasks that require human intelligence utilizing probabilistic outcomes based on existing real-world data to predict future outcomes. ML uses large amounts of data to create and validate decision logics often mimicking biological neuron signals such as in deep learning or natural language processing (NLP). No-code tools allow business analysts to make ML predictions even without ML experience. In this special issue we evaluate the role of AI in Human Perception and Inferences. We are looking to expand how to design for the ideal machine-human experience, essentially interfaces that AI is incorporated within. Guest editors: Aparna Sundar asundar(a)uw.edu Karen Machleit k.machleit(a)uc.edu Udo Kruschwitz Udo.Kruschwitz(a)ur.de Tony Russell-Rose truss003(a)gold.ac.uk Special issue information: User perception can vary in several ways due to individual differences, environmental factors and cultural differences. All this impacts user experiences. User inferences are mental processes that allow individuals to draw conclusions, make judgments and generate new knowledge based on the information they are exposed to. Both perception and inferences influence the ultimate user experience. In AI, design of systems that are transparent, intuitive, and align with the users’ needs and expectations is vital. With the explosion of technological investment and innovation in this domain, the need for research is heightened. This is more so the case from a design and product development standpoint. User experience and research is essential to bridge the interface between AI and users. There is more to user experience in terms of user mental models, trust and transparency, in terms of: how psychology can influence the design of the machine-human interface, personalization and adaptability of AI assistants, and more. This call aims to address that gap. As an example, one of the most critical aspects of interacting with AI is the language that AI uses in messaging, or in persuasion attempts. We know very little about the psychology of AI experience design. Research in the way marketers communicate to consumers indicate that there is a robust effect of message tone (Sundar & Cao, 2018 & Sundar & Paik, 2017), repetition of messaging (Sundar, Kardes & Wright, 2015), language structure and categorization (Schmitt & Zhang, 1998). While scholars have established the anthropomorphic relationship of individuals with AI assistants (Uysal, Alavi, & Benzencon, 2022), how individuals react or respond to AI needs more investigation. Toward this end, this call aims to bridge the cross discipline of communication, marketing and judgement and decision making. Research in this area is aimed to amplify how humans perceive communication, especially when claims come for AI assistants or sources that are not perceived to be human. This call aims to mobilize articles that explore considerations in the evolution of AI and ML in human behavior. Very specifically, we seek articles that bring out complexities of AI/human interactions, possible human perceptions, and learnings to improve ML and inferences on both the human and machine side that can transform technologies meaningfully. Given the role of AI and ML in the digital evolution of computers, this special issue emphasizes the human response, or psychology toward transformative digital technologies. Some areas that AI influences human perception and inferences are: 1. Machine-Human Interface: Nature of anthropomorphic communication in the machine-human Interface (Schmitt & Zhang, 1998; Uysal, Alavi & Benzencon, 2022) 2. User inferences as it influences user experience: AI uses sensemaking to make meaning of the language humans use to the communicate with. (Cabrera et. al., 2023). Articles on how mental models of users communicating with AI are formulated, AI assistant modality etc. 3. Consumer perception and user behavior: Humans react to the tangible aesthetics of product (Sundar, Cao & Machleit, 2020) How consumers behave when presented with information from AI assistants 4. Personalization and Adaptability: Gao and Liu (2022) note that the way in which personalization through the customer journey is important. Research exploring the role of personalization and adaptability of the AI assistant 5. Transparency and Explainability: Sources that AI assistant get their information from 6. Clarity of Communication: Style, tone, language all make a difference in perception (Sundar & Cao, 2018) and extensions to research to AI assistant communication 7. Trust in AI Technologies: Trust is a multi-faceted construct in interpersonal relationships, and research investigating how to boost trust in AI are needed, what Trustworthy AI (Kaur et. al 2022), is and how companies can build this in the AI development To extend the literature and understanding on how designers and product developers can improve AI assistants or user experiences, this call invites a multi-disciplinary investigation into the psychology of designing influencing AI experiences. The psychology of design encompasses many domains such as visual design, language, auditory consideration and other perceptual cues that ultimately impact behavior. This call therefore invites researchers to submit original papers that address the following areas: 1. Considerations in AI design: The various forms that AI assistants can take, considerations of situation, where best to locate AI and how best it can help the user and others. 2. AI Interactions: This can be multi-modal, visual, haptic, auditory or other manifestations of AI in improving the lives of users. Ultimately research that investigates the use and reactions to AI in the IoT and other forms and others. 3. Experience and learnability: Research papers that examine the different learning models of AI and the way in which information that is factually mature versus grounded in commonsense and has the most implications for users. Research investigating effectiveness of AI maturity and others. 4. Machine and Human interaction: Research extending the literature on Anthropomorphism to the AI domain and others. 5. Use of AI in specific domains: The implications of AI assistants are far reaching and can influence evaluative considerations from analysis of graphs, dashboards, e-commerce, to large statistical models, to writing, or transcribing etc. Research highlighting the nuances, challenges and how to overcome these and others. A multi-disciplinary approach to research, with methodology that is relevant to the research questions is welcome. The paper should have strong implications on how current day AI design can be improved and how designers and product managers can think through human computer interaction to create incremental and improved experiences with AI. Manuscript submission information: All interested researchers are invited to submit your manuscript at: https://www.sciencedirect.com/journal/computers-in-human-behavior/about/cal… The Journal’s submission system is open for receiving submissions to our Special Issue. To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important to select “VSI: Ideal Machine-Human Interface” when you reach the “Article Type” step in the submission process. Full manuscripts will undergo double-blind review as per the usual procedures for this journal. Deadline for manuscript submissions: Dec 31st, 2023 Inquiries related to the special issue, including questions about appropriate topics, may be sent electronically to the Executive Editor Dr. Aparna Sundar [asundar(a)uw.edu). Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues Important Dates: Submission Deadline: Dec 31st 2023 Acceptance Deadline: Mar 31st 2024 Expected Publication Date: end of 2024 References: Cabrera, Á. A., Tulio Ribeiro, M., Lee, B., Deline, R., Perer, A., & Drucker, S. M. (2023). What did my AI learn? how data scientists make sense of model behavior. ACM Transactions on Computer-Human Interaction, 30(1), 1-27. Gao, Y., & Liu, H. (2022). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, (ahead-of-print), 1-18. Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2022). Trustworthy artificial intelligence: a review. ACM Computing Surveys (CSUR), 55(2), 1-38. Schmitt, B. H., & Zhang, S. (1998). Language structure and categorization: A study of classifiers in consumer cognition, judgment, and choice. Journal of Consumer Research, 25(2), 108-122. Sundar, A., & Cao, E. S. (2018). Punishing politeness: The role of language in promoting brand trust. Journal of Business Ethics, 164, 39-60. Sundar, A., Cao, E., & Machelit, K. A. (2020). How product aesthetics cues efficacy beliefs of produce performance. Psychology & Marketing, 37(9), 1246-62. Sundar, A., Kardes, F. R., & Wright, S. A. (2015). The influence of repetitive health messages and sensitivity to fluency on the truth effect in advertising. Journal of Advertising, 44(4), 375-387. Sundar, A., & Paik, W. (2017). Punishing politeness: Moderating role of belief in just world on severity. Association for Consumer Research, 45, 903-905. Uysal, E., Alavi, S., & Bezençon, V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 50(6), 1153-1175. Keywords: Artificial intelligence interface, UX, design

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Call for Workshop Proposals
by Announce 02 Oct '23

02 Oct '23

*** Last Call for Workshop Proposals *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: October 13, 2023 AoE ***) CAiSE is a well-established, highly visible conference series on Advanced Information Systems (IS) Engineering. It covers all relevant topics in the area, including methodologies and approaches for IS engineering, innovative platforms, architectures and technologies, and engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting workshops in related fields. Workshops are intended to focus on particular topics and provide ample room for discussions of new ideas and developments. CAiSE 2024, the 36th edition of the CAiSE series, invites proposals for workshops to be held in conjunction with the main conference, related to the CAiSE topics, covering new emerging topics and targeting innovative papers in special focus areas. Prospective workshop organisers should specify whether they plan an event with a presentation-oriented track, a discussion-oriented track, or both. Presentation-oriented track This track focuses on accepted papers with presentations followed by Q&A sessions, akin to conferences. The proceedings of these workshops are intended to be published in a joint volume in the Springer LNBIP series. Submissions must  conform to the Springer LNCS/LNBIP format and should  not exceed 12 pages. According to the Springer standards, the overall acceptance rate cannot exceed 45%-50%. Discussion-oriented track This track emphasizes discussions facilitated by paper presentations revolving around novel ideas and early-stage research. Since the main criterion for paper acceptance in such workshops is relevance and potential for raising discussion, they are not expected to have their proceedings in the Springer LNBIP volume. The edition of a joint proceedings volume next to the LNBIP one for the discussion-oriented track is underway. Proceedings shall be submitted to CEUR-WS.org for online publication. Details on this aspect will be provided separately. Proposal submission Workshop proposals should be submitted via EasyChair at the following address:  https://easychair.org/conferences/?conf=caise2024  Please select the Author role and the CAiSE 2024 Workshops track. Prior contact with the workshop chairs (caise2024-workshops(a)easychair.org) is encouraged. The organizer(s) of approved workshops will be responsible for advertising their workshop, eliciting high-quality submissions, organizing the reviewing process of their workshop’s papers according to the principles and guidelines of CAiSE, and collecting camera-ready copies of accepted papers (verifying that they comply with the formatting rules). Organizers (including co-organizers) are expected to attend their entire workshop. Detailed instructions for workshop proposers The proposal (up to 1000 words) should cover the following points: • Workshop title, duration (1 day or 2 days), preferred date (3-4 June 2024) • Workshop type (presentation-oriented or discussion-oriented, or both). • Information on the organizers (PC chairs, other organizers who will be present at the workshop or are otherwise involved, including the person responsible for web presence and communication). Please include names, addresses, and affiliations, indicating the main responsible person. The submission should include a one-paragraph biographical sketch for each organizer, describing relevant qualifications and experience. Please specify at least one PC chair. PC chairs will not be allowed to submit papers to the workshop, but other organizers (who will have no oversight over the review process) are encouraged to do so. • Purpose: What are the main goals of the workshop? Please list the workshop topics. How does the focus of the workshop differ from the main conference? How does the focus of the workshop differ from other potential CAiSE events? (Proponents are advised to look at the workshops and working conferences held at CAiSE 2022 and CAiSE 2023 and differentiate your scope from theirs.) • Organization of the workshop: Specify the type of contributions, distribution into sessions, type of sessions, etc. Mention if you plan to have any keynote speaker (please note that the conference organization will not cover fees, travel expenses, accommodation and registration costs of keynote speakers). Include any special requirements regarding infrastructure and room layout. • Tentative list of PC members. • An estimate of the number of papers to be accepted, and the number of attendees. If applicable, short information on previous editions of the workshop series (this should include submission, acceptance, and attendance information). Short information on your plans for advertising your workshop and making it highly visible. Services provided by CAiSE • EasyChair installation for the management of the workshop submissions (each organizer will be made chair of their own workshop). • Publication of papers in an LNBIP volume for presentation-oriented tracks, and in a CEUR-WS.org online volume for discussion-oriented tracks. • One free workshop-only registration if more than 10 people are registered for the workshop. Organizers willing to attend the whole event (main conference) will have to register for the conference at their own expense. • Local organizational infrastructure and administrative support (registration, badges, refreshments, beamers, screens, etc.). In particular, all venue issues (rooms, meals and catering, social dinner, etc.) as well as the management of the registrations and the financing/administrative issues will be handled by the CAiSE Organization Board and are not under the responsibility of the workshop organizers. • Advertisement of the workshop on the CAiSE 2024 homepage and mailings. Please note that the workshop may be canceled if the number of registrations is less than 10. Also, in the case of workshops with topics that are similar, two or more workshops may be suggested to merge together. Key Dates • Submission of workshops proposals (via Easychair): October 13th, 2023 (AoE) • Workshop notifications: November 3rd, 2023 • Workshop paper submission (tentative, recommended for presentation-oriented tracks): March 6th, 2024 (AoE) • Workshop paper decision (recommended for presentation-oriented tracks): April 3rd, 2024 • Camera-ready due (recommended for presentation-oriented tracks): April 22nd, 2024 • Author registration for workshops papers: April 22nd, 2024 • Workshops: June 3rd-4th, 2024 Contact For more information and inquiries, please feel free and welcome to contact the Workshop Chairs at the following address: caise2024-workshops(a)easychair.org

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Call for online participation: ACM CIKM 2023, Birmingham, UK, October 2023
by Ingo Frommholz 02 Oct '23

02 Oct '23

Call for online participation: ACM CIKM 2023, Birmingham, UK, October 2023 https://cikm2023.org Registration is still open for online participation in the ACM Conference on Information and Knowledge Management (CIKM) in Birmingham, UK on October 23-25, 2023. The conference will contain numerous presented papers of high quality, applied and theoretical research findings. CIKM has a strong tradition of speakers devoted to emerging areas of database management, IR, AI, NLP, and related fields. An Industry Day will bring together practitioners and academics. We are very happy to present the following keynote speakers: Chirag Shah (University of Washington): Generative AI and the Future of Information Access Yulan He (King’s College, London): Interpretable Natural Language Understanding Steffen Staab (University of Stuttgart & University of Southampton): Knowledge Graphs for Knowing More and Knowing for Sure Please see https://uobevents.eventsair.com/cikm2023/keynote-speakers for details. A list of accepted papers can be found at https://cikm2023.org/accepted-papers. Online Registration: https://cikm2023.org/registration-rates Please visit https://cikm2023.org for more information. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval, and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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EACL 2024: Call for System Demonstrations
by sungho.jeon＠h-its.org 02 Oct '23

02 Oct '23

* EACL 2024: Call for System Demonstrations Link: https://2024.eacl.org/calls/demos/ * Important Dates Direct paper submission deadline: Monday 20 November 2023 Notification of acceptance: Monday 22 January 2024 Camera-ready papers due: Monday 5 February 2024 Main Conference: Monday – Wednesday 18–20 March 2024 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”) ============================ * Topics of Interest Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for Computational Linguistics research - Software for analysis, demonstration, or evaluations - Software supporting learning or education - Tools for data visualization and annotation - Development tools - Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2024. * Submission Guidelines All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference. Use this link to make your submission: https://softconf.com/eacl2024/demo-track/ Submissions must include the following: 1. A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). See examples of recently accepted demo papers in ACL 2023, EACL 2023, EMNLP 2022, ACL 2022 and NAACL 2022. The papers must be no more than six (6) pages long, plus unlimited extra space for an optional ethics/broader impact statement and also unlimited space for references. Please use the official ACL style files. Accepted papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Any papers that do not follow the official style guidelines and page limits will be automatically rejected. 2. A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. To ensure accessibility for deaf or hard-of-hearing viewers, we encourage authors to caption videos prior to submission. A video of a user interacting with the system can also be used, but should be self-explanatory. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, Vimeo, or another website and include the link in your paper. If authors wish to prevent their videos from appearing on search engines, we recommend to mark them as unlisted (e.g., instructions on how to do this on YouTube). In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited. ============================ * Submission Policy The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before. Authors submitting more than one demo paper to EACL 2024 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2024 will be rejected by all tracks. * Reviewing Policy Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. * Ethics Policy Authors are required to honour the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work. Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. * Best Demo Award We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference. * Contact Information If you have questions that are not answered after reading this information, please email the program co-chairs at eacl2024demos(a)googlegroups.com . * Demo Track Co-chairs Nikos Aletras (University of Sheffield) Orphée De Clercq (LT3, Ghent University)

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Call for Participation: ACM CIKM 2023 Industry Day, Birmingham, UK, October 22, 2023
by Ingo Frommholz 02 Oct '23

02 Oct '23

Call for Participation: CIKM 2023 Industry Day You can still register in-person for the industry day at the ACM Conference on Information and Knowledge Management (CIKM) in Birmingham, UK. The industry day takes place October 22 at the University of Birmingham campus. It offers a range of industry-related and high-profile talks by experts in the field. Additionally, you can register online for the main CIKM event on October 23-25, 2023. Industry Day In-Person and CIKM Online Registration: https://cikm2023.org/registration-rates The following talks are scheduled for the industry day (please also see https://cikm2023.org/industry-day-programme): Application and Evaluation of Large Language Models for the Generation of Survey Questions Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy and Peng Jiang Unleashing the Power of Large Language Models for Legal Applications Dell Zhang, Alina Petrova, Dietrich Trautmann and Frank Schilder Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi Ronen and Noam Koenigstein Astrolabe: Visual Graph Database Queries with Tabular Output Michael Miller Type theory as a unifiying paradigm for data models Christoph Dorn and Haikal Pribadi Proactive and Automatic Detection of Product Misclassifications at Massive Scale Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick and Gang Luo Vigil: Effective end-to-end monitoring for large-scale recommender systems at Glance Priyansh Saxena and Manisha R Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering Georgios Balikas Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study Roy Eisenstadt, Abedelkader Asi and Royi Ronen From User Activity Traces To Navigation Graph for software enhancement: An Application Of Graph Neural Network (GNN) On a Real-world Non-attributed Graph Boukhraouba Ikram Practical Lessons Learned From Detecting, Preventing and Mitigating Negative Experiences in Facebook Prathyusha Senthil Kumar LAMM: Language Aware Active Learning for Multilingual Models Ze Ye, Dantong Liu, Kaushik Pavani and Sunny Dasgupta Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity Hacer Turgut, Tan Doruk Yetki, Tayfun Arda Yücel and Ömür Bali RT2S: A Framework for Learning with Noisy Labels Indranil Bhattacharya, Ze Ye, Kaushik Pavani and Sunny Dasgupta Looking forward to seeing you in Birmingham! -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval, and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Call for Bids to Host CLEF 2026 - Submission deadline 20 December 2023
by Nicola Ferro 02 Oct '23

02 Oct '23

INTRODUCTION The CLEF Initiative (Conference and Labs of the Evaluation Forum) is a self-organized body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual and multimodal information with various levels of structure. The CLEF Initiative is structured in two main parts: - a series of Evaluation Labs, i.e. laboratories to conduct evaluation of information access systems and workshops to discuss and pilot innovative evaluation activities; - a peer-reviewed Conference on a broad range of issues, including - investigation continuing the activities of the Evaluation Labs; - experiments using multilingual and multimodal data; in particular, but not only, data resulting from CLEF activities; - research in evaluation methodologies and challenges. Since 2000 CLEF has played a leading role in stimulating investigation and research in a wide range of key areas in the information retrieval domain. It has promoted the study and implementation of appropriate evaluation methodologies for diverse types of tasks and media. Over the years, a wide, strong, and multidisciplinary research community has been built, which covers and spans the different areas of expertise needed to deal with the breadth of CLEF activities, making CLEF one of the top venues for information access. CALL FOR BIDS The CLEF Steering Committee solicits proposals from groups interested in organizing the CLEF conference and labs in September 2026. Groups submitting a bid for CLEF 2026 also commit themselves to collect membership fees on behalf of the CLEF Association and to pass them to the CLEF Association. Guidelines on submitting a bid can be found in the Template for Bids available at: https://www.clef-initiative.eu/assets/CLEF-Template_for_bids.docx Bids must be submitted by **Wednesday, December 20th, 2023** by email to the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu). The Steering Committee will review and select the proposals. The Steering Committee can ask for modifications and changes to the proposals, if deemed necessary. Interested parties can contact the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu) to receive further details. IMPORTANT DATES - Bid submission deadline: Wednesday, December 20th, 2023 - Feedback to bidders and discussion: January 2024 - Bid selection: late February 2024 STEERING COMMITTEE - Avi Arampatzis, Democritus University of Thrace, Greece - Alberto Barrón-Cedeño, University of Bologna, Italy - Martin Braschler, Zurich University of Applied Sciences, Switzerland - Khalid Choukri, Evaluations and Language resources Distribution Agency (ELDA), France - Fabio Crestani, Università della Svizzera italiana, Switzerland - Carsten Eickhoff, Brown University, USA - Nicola Ferro, University of Padua, Italy - Norbert Fuhr, University of Duisburg-Essen, Germany - Anastasia Giachanou, Utrecht University, The Netherlands - Lorraine Goeuriot, Université Grenoble Alpes, France - Julio Gonzalo, National Distance Education University (UNED), Spain - Donna Harman, National Institute for Standards and Technology (NIST), USA - Bogdan Ionescu, University Politehnica of Bucharest, Romania - Evangelos Kanoulas, University of Amsterdam, The Netherlands - Birger Larsen, University of Aalborg, Denmark - David E. Losada, Universidade de Santiago de Compostela, Spain - Mihai Lupu, Vienna University of Technology, Austria - Maria Maistro, University of Copenhagen, Denmark - Josiane Mothe, IRIT, Université de Toulouse, France - Henning Müller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland - Jian-Yun Nie, Université de Montréal, Canada - Gabriella Pasi, University of Milano-Bicocca, Italy - Paolo Rosso, Universitat Politècnica de València, Spain - Eric SanJuan, University of Avignon, France - Giuseppe Santucci, Sapienza University of Rome, Italy - Laure Soulier, Pierre and Marie Curie University (Paris 6), France - Theodora Tsikrika, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Greece - Christa Womser-Hacker, University of Hildesheim, Germany

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Final CFP: NLP4DH in Tokyo. DL 8.10
by Mika Hämäläinen 02 Oct '23

02 Oct '23

The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan. The proceedings will be published in the ACL anthology. The event will take place on December 1-3 2023. https://rootroo.com/en/joint-nlp4dh-iwclul-2023/ Submission deadline: October 8, 2023 Registration/publication fees: 0€! The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to: -Text analysis and processing related to humanities using computational methods -Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation). -Research on cultural heritage collections such as national archives and libraries using NLP -NLP for error detection, correction, normalization and denoising data -Generation and analysis of literary works such as poetry and novels -Analysis and detection of text genres We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH). Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results. Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work. Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website. Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references. The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities. Important dates -Paper submission (full and short): October 8, 2023 -Notification of acceptance: November 3, 2023 -Camera ready deadline: November 17, 2023 -NLP4DH & IWCLUL in Tokyo: December 1-3, 2023

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Second Call for workshops, tutorials & shared tasks at PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Pablo Gamallo 01 Oct '23

01 Oct '23

Call for workshops, tutorials & shared tasks The PROPOR 2024 organizing committee invites shared task, workshop and tutorial proposals to be held in conjunction with the conference. PROPOR is the main scientific meeting in the area of language and speech technologies for the Portuguese/Galician language. The event is supported by the PROPOR steering committee. More details about past events, PROPOR steering committee and the constitution can be found in PROPOR.org CALL FOR SHARED TASK PROPOSALS Shared tasks need to be focused on NLP for the Portuguese/Galician language. Important dates Shared task proposals: November 1, 2023. Notification of decision: November 15, 2023. Shared task web pages available and linked to the main site: January 2024. Camera-ready of short papers of the systems participating in the Shared task: February 1, 2024. PROPOR 2024 Workshops (electronic proceedings due for online publication): March 1, 2024. Proposal Details Proposals should be submitted via e-mail to propor2024wsttut(a)googlegroups.com. They should be no more than three pages in length and must include: Description of the shared task: a title and a brief description of the topic of the task and its potential impact on the NLP community and society. Description of the target audience. Description of the data sets that will be used in the shared task and their readiness Sketch of how the submitted systems will be evaluated. Proposed timeline for the shared task mainly including the dates for releasing trial, training and test data, and the evaluation period. This timeline should preferably be between October 1, 2023 and January 31, 2024. Contact information (address, email, and phone – WhatsApp) for all organizers. Designation of a main contact person. The shared task organizers are responsible for: Creating and distributing call-for-participation and any other relevant advertising. The calls should make it clear that at least one author of each participant system must attend the event. The call should clearly describe the evaluation process. Creating and publishing (on time) a website with all the relevant information about the shared task. Provide an extended abstract for the conference program. Evaluate the submitted results. It should be noted that the conference organization does not budget for free registration, accommodation, or travel expenses for the shared task organizers. Prepare electronic proceedings volumes by the end of February 2024. Attend the conference. CALL FOR WORKSHOP PROPOSALS The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of computational processing of Portuguese, Galician and their variants. Workshops can take on several forms including (but not limited to) being organized around emerging research areas, challenge problems and industrial applications. The organizers of approved workshops are required to announce the workshop and call for papers, gather submissions, conduct the reviewing process and decide upon the final workshop program. They must also prepare a set of workshop proceedings to be distributed with the registration materials at the conference or in an electronic version. They may choose to form organizing or program committees for assistance in these tasks. Important dates Workshop proposals due: November 1, 2023. Notification of decision: November 15, 2023. Workshop web pages available and linked to the main site. Workshop CFP published: December 1, 2023. Camera-ready of papers of the Workshop: February 1, 2024. PROPOR 2024 Workshops (electronic proceedings due for online publication): March 1, 2024. Proposal Details Proposals should be submitted via e-mail to propor2024wsttut(a)googlegroups.com. They should be no more than three pages in length and must include: Description of the workshop: title, abstract, objectives, relevance and its potential impact on the NLP community and society. Motivation: why a PROPOR workshop on this topic is needed. Description of the target audience. List of core committed program committee members (2 to 3 members). Preliminary list of invited speakers (if any). For workshops previously held at PROPOR or other conferences, details on venue, attendance, and number of submissions from previous years should be provided. For new workshops, a list of potential attendees/submissions and/or a justification of the expected attendees and submissions. Relevant experience of the organizing committee. Duration of the workshop (full day or half day). Contact information (address, email, and phone – WhatsApp) for all organizers. A draft Call for Papers. Designation of a main contact person. The workshop organizers are responsible for: Creating and distributing call-for-papers, call-for-participation and any other relevant advertising. The calls should make it clear that at least one author of any accepted paper must attend the event and that papers will be withdrawn if no such participation is secured with the payment of the workshop dues. The call should clearly describe the review and selection process. Finally, the calls must be framed to encourage as broad a participation as possible. Creating and publishing (on time) a website with all the relevant information about the workshop. Provide an extended abstract for the conference program. Review (at least two independent reviewers) and select the submitted papers. Schedule the presentations within the workshop. It should be noted that the conference organization does not budget for free registration, accommodation, or travel expenses for the workshop organizers or their invited speakers. The workshop organizers should therefore secure any source of funding/sponsorship deemed necessary for their invited speakers. Prepare electronic proceedings volumes by the end of February 2024. Attend the workshop and select any required session chairs. CALL FOR TUTORIAL PROPOSALS Tutorials are intended to either provide a comprehensive introduction to core techniques/areas of interest or address advanced topics of language and speech processing including but not limited to the topics of the conference as stated in the call for papers. Especially encouraged are tutorials focusing on the computational processing of Portuguese, Galician and their variants. Important dates Tutorial proposals due: December 1, 2023. Notification of decision: December 15, 2023. Tutorial descriptions due: February 1, 2024. Tutorial course material due: March 3, 2024. Expected Tutorial date: March 13, 2024. Submission Details Proposals for tutorials should contain: A title and a brief description of the tutorial content and its relevance to the PROPOR community (not more than 2 pages). A brief outline of the tutorial structure showing that the tutorial’s core content can be covered in a two- or three-hour slot (including a coffee break). The names, affiliations, email addresses, and websites of the tutorial instructors, including a one-paragraph statement of their research interests and areas of expertise. A list of previous venues and approximate audience sizes, if the same or a similar tutorial has been given elsewhere. A description of special requirements for technical equipment (e.g., Internet access). Submission will be done via email to propor2024wsttut(a)googlegroups.com. Tutorial Speaker Responsibilities Accepted tutorial speakers must provide an abstract of their tutorials for inclusion in the conference registration material. The description should be in the ASCII version that can be included in email announcements and published on the conference website. Tutorial speakers must provide tutorial materials, at least containing copies of the course slides, and a bibliography for the material covered in the tutorial. Each tutorial will be granted one registration to the main conference. Shared task, Workshop and Tutorial co-chairs Alberto Abad (INESC-ID, Portugal) Alberto Simões – 2Ai Lab, School of Technology, IPCA (Barcelos, Portugal) Helena Caseli – Universidade Federal de São Carlos (UFSCar, Brazil) Contacts: Please send inquiries concerning shared tasks, workshops and tutorials to propor2024wsttut(a)googlegroups.com

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): First Call for Papers
by Announce 01 Oct '23

01 Oct '23

*** First Call for Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: November 24, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 24th November 2023 (AoE) • Paper Submission: 1st December 2023 (AoE) • Notification of Acceptance: 4th March 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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2023 ICR Outstanding Corpus Thesis Award
by Prof CK Jung 01 Oct '23

01 Oct '23

[Apologies for cross-posting] Dear all The ICR Outstanding Corpus Thesis Award is a prestigious annual distinction established to acknowledge recent graduates who have delivered exemplary theses at either the MA/MSc or PhD/EdD levels specifically within the domain of corpus research. *Eligibility Criteria:*- The candidate must have graduated from a recognised university that requires a thesis submission for the conferment of an MA/MSc or PhD/EdD degree. - The degree must have been awarded to the nominee in 2023. - The thesis presented should be acknowledged for its noteworthy contribution to the domain of corpus research. - Theses should be authored in English or Korean. Translations from other languages to English are permissible. It’s important to note that for the award to be retained, the nominee is required to successfully publish a full paper in the Asia Pacific Journal of Corpus Research within a year of receiving the award. Failure to do so will result in automatic revocation of the award. Upon successful publication, a certificate will be dispatched to the awardee. *Submission Details:*- Thesis title - Abstract - Recommender (Affiliation, Name, Position) - Candidate’s Name - Degree Conferment Date - Degree Granting University - For thesis submission (in PDF format), kindly forward to: help(a)icr.or.kr - Submission Deadline: 31 December 2023 *For more information, please visit http://icr.or.kr/awards <http://icr.or.kr/awards>.* Institute for Corpus Research --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Associate Professor | Department of English Language and Literature, Incheon National University, *South Korea* President | The Korea Association of Secondary English Education, *South Korea *(http://kasee.org) Vice President | The Korea Association of Primary English Education, *South Korea *(http://kapee.or.kr) Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR, *International* (http://icr.or.kr/apjcr) Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129

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Deadline Extension (20 October 2023) Call for papers: SCOPUS indexed - Hybrid Event - Springer Publication
by Anu Bajaj 30 Sep '23

30 Sep '23

* Deadline Extension: please circulate this CFP to your colleagues and networks ** ------------On multiple requests from several authors, we have extended the submission deadline till October 20, 2023--------------- ------------*International Joint Conferences - Published by Springer LNNS Series (Scopus)*--------------- ** ISDA 2023 - HIS 2023 - SoCPaR 2023 - IBICA 2023 - IAS 2023 - NaBIC 2023 - WICT 2023 ** * *Onsite and On the World Wide Web ** *Publisher*: Springer Verlag, LNNS Series *Indexed by*: SCOPUS, DBLP, INSPEC, SCImago etc. ** Venue details and accommodation details are now published ** *Onsite Venues: *Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Kochi, India *Please visit:* https://mirlabs.org/ias23/venue2.php <https://er-anubajaj-dot-yamm-track.appspot.com/2-2ypoYLoQkMn5Qu41DzfLDgoGhB…> ***Important Dates*** --------------------- Paper submission due:* September 30, 2023* Notification of paper acceptance: *October 31, 2023* Registration and Final manuscript due: *November 10, 2023* *Conferences:* December 11-15, 2023 -- *23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023)* http://www.mirlabs.net/isda23 <https://er-anubajaj-dot-yamm-track.appspot.com/2U2Q7H3L2mEXiMb7qsUEVTfuRNMx…> Proceedings of ISDA’22: https://link.springer.com/book/10.1007/978-3-031-27440-4 <https://er-anubajaj-dot-yamm-track.appspot.com/2O2tJ6bhKv3ICtm_M4WrxSIHrkil…> *Submission link: *https://cmt3.research.microsoft.com/ISDA2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2wh4gk1oJvcNdOHMcLgNOzPnw4zo…> -- *23rd International Conference on Hybrid Intelligent Systems (HIS 2023)* http://www.mirlabs.net/his23 <https://er-anubajaj-dot-yamm-track.appspot.com/2KyAHA4JA6zb_hBaM_bsJImXIgAt…> Proceedings of HIS'22: https://link.springer.com/book/10.1007/978-3-031-27409-1 <https://er-anubajaj-dot-yamm-track.appspot.com/2yRh-QHfBEQKmzsC3PRbjIKiVFkf…> *Submission link: *https://cmt3.research.microsoft.com/ICHIS2023 <https://er-anubajaj-dot-yamm-track.appspot.com/219rKKaeqKKMLf_silKq0SfhFaJP…> -- 19th International Conference on Information Assurance and Security (IAS 2023) http://www.mirlabs.org/ias23 <https://er-anubajaj-dot-yamm-track.appspot.com/21wiQCc4Wt-1_y8ainNwtVOS3ZJ3…> Proceedings of IAS'22: https://link.springer.com/book/10.1007/978-3-031-27409-1 <https://er-anubajaj-dot-yamm-track.appspot.com/2PwPMlBbwV5upqnvqjb12stz7RHg…> *Submission link*: https://cmt3.research.microsoft.com/IAS2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2f5nc-HkpOPoHH5zV2ELFOTPcO7N…> -- *15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)* http://www.mirlabs.org/socpar23 <https://er-anubajaj-dot-yamm-track.appspot.com/26WYgXBX1IVAz-8HIlhG4J3X5UmN…> Proceedings of SoCPaR'22: https://link.springer.com/book/10.1007/978-3-031-27524-1 <https://er-anubajaj-dot-yamm-track.appspot.com/2bBclcDkZ_zBGL9LjKb4XtcwnUji…> *Submission link: *https://cmt3.research.microsoft.com/SOCPAR2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2froA_XLJVJVtN8PIfSl30KSaDbE…> -- *15th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023)* http://www.mirlabs.net/nabic23 <https://er-anubajaj-dot-yamm-track.appspot.com/2vRWNTvT6HdjqEjlAtu-Dx_VxOgZ…> Proceedings of NaBIC'22: https://link.springer.com/book/10.1007/978-3-030-96302-6 <https://er-anubajaj-dot-yamm-track.appspot.com/2e0FX148bGU9zkNapVLGDkfuZGKh…> *Submission link:* https://cmt3.research.microsoft.com/NABIC2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2I8hnoy33kvvJ3saB7AdxqmMZ3Qg…> -- *14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023)* http://www.mirlabs.net/ibica23 <https://er-anubajaj-dot-yamm-track.appspot.com/2IiRZUltXA6P-_wvZajN9pHsxlov…> Proceedings of IBICA'22: https://link.springer.com/book/10.1007/978-3-031-27499-2 <https://er-anubajaj-dot-yamm-track.appspot.com/27yYWf93kHFSRPz0ZD0NtPNhoFqn…> *Submission link:* https://cmt3.research.microsoft.com/IBICA2023 <https://er-anubajaj-dot-yamm-track.appspot.com/21vjJoq7HraSAckJqrnShThGapG6…> -- *13th World Congress on Information and Communication Technologies (WICT 2023)* http://www.mirlabs.org/wict23 <https://er-anubajaj-dot-yamm-track.appspot.com/2gTahGNsaLYLIPjYob8MAqTKXhRc…> Proceedings of WICT'22: https://link.springer.com/book/10.1007/978-3-031-27499-2 <https://er-anubajaj-dot-yamm-track.appspot.com/22ohbgHGVdSeNCKioS-KvoMzCUJV…> *Submission link: *https://cmt3.research.microsoft.com/WICT2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2gHXqW4-NwR-Vtm5OPrGaaKhJy6G…> ***Plenary Talks*** ------------------------ Christine Zarges, Aberystwyth University, UK Theresa Schmiedel, University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland Ke Feng, Singapore-ETH Centre, The National University of Singapore, Singapore Stefka Fidanova, Bulgarian Academy of Sciences, Bulgaria Diego Oliva, Universidad de Guadalajara, Mexico Sebastian Ventura, University of Cordoba, Spain Ana Maria Madureira, Instituto Superior de Engenharia do Porto, Portugal Nuno Bettencourt, Instituto Superior de Engenharia do Porto, Portugal Aboul Ella Hassanien, Cairo University, Egypt Milan Tuba, Singidunum University, Serbia Dalia Kriksciuniene, Vilnius University / Kaunas University of Applied Sciences, Lithuania Kusum Deep, Indian Institute of Technology Roorkee, India João Pedrosa, Instituto de Engenharia de Sistemas e Computadores, Portugal ** *About the International events* ** -------------------------------------------------- Provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. These events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. ** *Topics (not limited to)* ** -------------------------------------- Artificial Intelligence Big Data Analytics Human Computer Interaction Intelligent Systems and Applications Hybrid Intelligent Systems Soft Computing and Pattern Recognition Nature and Biologically Inspired Computing Innovations in Bio-Inspired Computing and Applications Information and Assurance Security Innovations in Information and Communication Technologies Wireless Networks Data Mining IoT, Cloud Computing Software Engineering Digital Learning Cybersecurity ***Submission Guidelines*** ------------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. *Paper format templates:* https://www.springer.com/de/authors-editors/book-authors-editors/manuscript… <https://er-anubajaj-dot-yamm-track.appspot.com/2heWlEr4Mfm4TkVJmlOXS8CdvgjG…> ***Technical Contact*** --------------------------- Dr. Ajith Abraham Email: ajith.abraham(a)ieee.org [image: beacon]

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NLP Tenure-Track faculty position at Brandeis University
by Nianwen Xue 29 Sep '23

29 Sep '23

The Department of Computer Science at Brandeis University invites applications for a tenure-track assistant professor in computational linguistics, beginning Fall 2024. Qualifications required of all applicants include a Ph.D., in hand by Fall 2024, in Computer Science or a related discipline, a strong research record, and a commitment to teaching at the undergraduate and graduate levels. Particular attention will be given to candidates pursuing research in the broad area of speech, dialogue, or multimodal language processing. This position is subject to budgetary approval. The Department consists of a diverse group of 20 full-time faculty members and researchers and offers programs leading to B.A./B.S., M.S., and Ph.D. degrees in Computer Science and an M.S. in Computational Linguistics. The Department has research strengths in computational linguistics, theoretical linguistics, machine learning, computer vision, data mining, networking, distributed systems, operating systems, databases, algorithms, and software design and implementation. In addition, members of the Department collaborate closely with faculty across the university including biology, neuroscience, economics, physics, political science, among others. At Brandeis, we believe that diversity, equity, and inclusion are essential components of academic excellence. Brandeis University is an affirmative action, equal opportunity employer that is committed to creating equitable access and opportunities for applicants to all employment positions. Because diversity, equity, and inclusion are at the core of Brandeis’ history and mission, we value and are seeking candidates that represent a variety of social identities, including those that have been underrepresented in higher education, who possess skills that spark innovation, and who, through their scholarly pursuits, teaching, and/or service experiences, bring expertise in building, engaging, and sustaining a pluralistic, just, and inclusive campus community. Applicants should submit a CV, research statement, and teaching statement, and arrange for at least three reference letters to be submitted to Academic Jobs Online (AJO). Qualified applicants should apply at https://academicjobsonline.org/ajo/jobs/25467. First consideration will be given to applications received by December 20, 2023. Questions about the position can be directed to Professor James Pustejovsky . Additional information about the Department is available at https://www.brandeis.edu/computer-science/, and information about the Computational Linguistics program is available at https://www.brandeis.edu/computer-science/computational-linguistics/index.h… .

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philosophyideas.com: contextual, "hierarchical"/tree-like browsing of terminology, themes, concepts ...
by Albretch Mueller 29 Sep '23

29 Sep '23

our understanding tends to find its way into our language, but there is definitely more to an idea than its paraphrasing as a one liner. Some way to browse themes based on a GUI which would enable the noticing of differing deltas and how they branch into other topics would be very useful especially when it comes to philosophy which terms (and themes) tend to be semantically overloaded. I have haven’t had the time to spend more time at your site and I have no way of knowing what criteria did you choose to parse what you consider to be ideas (did you just read philosophical terms off a dictionary and parsed them in source texts?). For example, you don't list "piety" as one of your themes, nor do you "question" as such (even though you do "argument" 8), but I don't see the one liner: “Questioning is the piety of thought” by Martin Heidegger (which original statement in the source language: „Fragen ist die Frömmigkeit des Denkens“, I would include (some translations are a bit too "explaining", my translation would be: "questioning is the way to worship thoughts" or "worship thoughts by questioning (them)")): http://www.philosophyideas.com/search/response_philosopherTe.asp?era_no=A&e… Take "techne": 11365, as a general concept with a rich and protracted history in philosophy. That concept and its constellation of ideas were one of the earliest and most crucially constitutive for the development of later sciences and technologies. Both Plato and Aristotle engaged it at length in more or less explicit ways and was the underlying structuring concept in the most important text ever written: the deductive corpus compiled by Euclid 300 BC ("Euclid’s Elements"). However, this is all you have to say about it: [filed under theme 1. Philosophy / B. History of Ideas / 3. Greek-English Lexicon ] Full Idea: Techne: skill, practical knowledge Gist of Idea: Techne: skill, practical knowledge Source: PG (Db (lexicon) [c.1001 BCE], 82) ~ lbrtchx

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PR: ELDA releases air-traffic control data from ATCO2 Project
by info＠elda.org 29 Sep '23

29 Sep '23

[Apologies for multiple postings]/ / /Press Release - Immediate Paris, France, September 29, 2023/ *ELDA releases air-traffic control data from ATCO2 Project* ELDA is pleased to announce the release of ATCO2 Project Data.ATCO2 project collected the real-time voice communication between air-traffic controllers and pilots available either directly through publicly accessible radio frequency channels or indirectly from air-navigation service providers (ANSPs). In addition to the voice communication data, contextual information is available in a form of metadata (i.e. surveillance data). The dataset consists of two subsets: * a corpus of more than 4000 hours with untranscribed data * a corpus of 4 hours with transcribed data of air-traffic control speech collected across different airports (Sion, Bern, Zurich, etc.). Ca. 1 hour of annotation has followed a human re-checking. The datasetcan be found in the ELRA Catalogue of Language Resources under the following links and references: ATCO 2 Project Data <http://catalog.elra.info/en-us/repository/browse/ELRA-S0484/>, *ISLRN: *589-403-577-685-7 <http://www.islrn.org/resources/589-403-577-685-7> For more information and/or questions, please write to contact(a)elda.org <mailto:contact@elda.org>. *About ATCO2 project* ATCO2 project (Automated data collection and semi-supervised processing framework for deep learning) aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. It has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union. The following partners collaborated on this project: IDIAP Research Institute (Switzerland), Opensky Network (Switzerland), ELDA (France), ReplayWell (Czech Republic), Romagnatech (Italy), Universität des Saarlandes (Germany), Brno University of Technology (Czech Republic). To find out more about ATCO2 project, please visit: https://www.atco2.org/ <https://www.atco2.org/> ** *About ELDA* The Evaluation and Language resources Distribution Agency (ELDA) identifies, collects, markets, and distributes language resources, along with the dissemination of general information in the field of Human Language Technologies (HLT). ELDA has considerable knowledge and skills in HLT applications. ELDA is part of major French, European and international projects in the field of HLT. To find out more about ELDA, please visit our web site: http://www.elda.org/ <http://www.elda.org/>

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Eighteenth century corpora
by claire.etty＠oup.com 29 Sep '23

29 Sep '23

Hi, I'd be interested in hearing about any corpora containing eighteenth century English, beyond what's on the English Historical Book Collection (Gale Cengage’s ECCO-TCP – 2473 titles printed in the United Kingdom between the years 1701 and 1800 and Readex’s Evans-TCP – 5007 books published in America during the years 1639–1800.) Many thanks! Claire Etty Senior Editor (Research), Lexicography Oxford English Dictionary

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Job - Researcher-developer for Digital Text Analysis
by Tim Van de Cruys 29 Sep '23

29 Sep '23

Researcher-developer for Digital Text Analysis KU Leuven, Belgium Deadline for applications: Monday 2 October, 2023 Within the context of the CLARIAH-VL research infrastructure project, the Centre for Computational Linguistics (CCL) seeks to hire a full-stack developer to contribute to the development of a Digital Text Analysis Dashboard and Pipeline. More information and applications: https://www.kuleuven.be/personeel/jobsite/jobs/60257605

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CfP SemEval 2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
by Mickus, Timothee 29 Sep '23

29 Sep '23

Welcome to SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes! Task description: SHROOM participants will need to detect grammatically sound output that contains incorrect semantic information (i.e. unsupported or inconsistent with the source input), with or without having access to the model that produced the output. Overview of the task: The modern NLG landscape is plagued by two interlinked problems: On the one hand, our current neural models have a propensity to produce inaccurate but fluent outputs; on the other hand, our metrics are most apt at describing fluency, rather than correctness. This leads neural networks to “hallucinate”, i.e., produce fluent but incorrect outputs that we currently struggle to detect automatically. For many NLG applications, the correctness of an output is, however, mission critical. For instance, producing a plausible-sounding translation that is inconsistent with the source text puts in jeopardy the usefulness of a machine translation pipeline. With our shared task, we hope to foster the growing interest in this topic in the community. With SHROOM we adopt a post hoc setting, where models have already been trained and outputs already produced: participants will be asked to perform binary classification to identify cases of fluent overgeneration hallucinations in two different tracks: a model-aware and a model-agnostic track. In the former, participants have access to the model that produced the output; in the latter, they do not. To ensure a low barrier to entry, we format the task as a binary classification problem. All systems will be rated on accuracy (i.e., the proportion of test examples correctly labeled) and calibration (i.e., the correlation between the probability assigned by a system and the proportion of annotators marking a production as hallucinatory). We provide participants with a collection of checkpoints, inputs, references and outputs of systems covering three NLG tasks: definition modeling (DM), machine translation (MT), and paraphrase generation (PG), trained with varying degrees of accuracy. The development set provides binary annotations from five different annotators and a majority vote gold label. Anyone wishing to participate in the task is welcome! Participants will have to * Submit at least once during the evaluation phase next January; * Write a system description paper; * Review other system description papers (max. 2). Trial, dev and train data are now available on the task website: https://helsinki-nlp.github.io/shroom/ Codalab competition: https://codalab.lisn.upsaclay.fr/competitions/15726 Join the mailing group: https://groups.google.com/u/1/g/semeval-2024-task-6-shroom Updates on Twitter: @shroom2024<https://twitter.com/shroom2024> Important dates: * Sample data ready: July 15th, 2023 * Validation data ready: September 11th, 2023 * Unlabeled train data ready: September 22nd, 2023 * Evaluation period starts (test set released): January 10th, 2024 * Evaluation period ends: January 31st, 2024 * Workshop paper submission deadline: February 29th, 2024 * Notification to authors: April 1st, 2024 * SemEval workshop: TBA (Summer 2024, collocated with a major NLP conference) Task organizers * Elaine Zosa, University of Helsinki, Finland * Raúl Vázquez, University of Helsinki, Finland * Jörg Tiedemann, University of Helsinki, Finland * Vincent Segonne, Universite Grenoble Alpes, France * Teemu Vahtola, University of Helsinki, Finland * Alessandro Raganato, University of Milano-Bicocca, Italy * Timothee Mickus, University of Helsinki, Finland * Marianna Apidianaki, University of Pennsylvania, USA

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Jobs: PhD positions for LLM research
by Marcel Bollmann 29 Sep '23

29 Sep '23

The NLP group at Linköping University, Sweden<https://www.ida.liu.se/divisions/aiics/nlp/>, is currently looking for up to 3 PhD students for research on large language models. Specific research topics include: * modularisation techniques for multilingual pre-training * efficient fine-tuning and targeted adaptation to specific tasks * tokenisation and embedding alignment techniques * addressing grammatical correctness and bias in pre-training * benchmarking and evaluation PhD students will be supervised by Marco Kuhlmann<https://liu.se/en/employee/marku61> and Marcel Bollmann<https://marcel.bollmann.me/>. All PhD positions are full-term, salaried positions with attractive employee benefits and pension contributions. Linköping University (LiU) is an AI research excellence centre with strong and broad research and education in AI from a technical and interdisciplinary perspective. LiU is the coordinator of one of the four EU-funded networks of AI research excellence centres (TAILOR<https://tailor-network.eu/>) and the host of the largest basic research programme in Sweden (WASP<https://wasp-sweden.org/>). LiU also hosts the Swedish National Academic Infrastructure for Supercomputing in Sweden (NAISS<https://www.naiss.se/>), which includes an NVIDIA SuperPOD (Berzelius<https://www.nsc.liu.se/systems/berzelius/>). For detailed information about the positions and instructions on how to apply, please see https://www.ida.liu.se/divisions/aiics/nlp/phd-student/ Potential candidates are welcome to contact Marco or me for additional information. The application deadline is 2023-10-19. Kind regards, Marcel -- Marcel Bollmann, Dr. phil. Associate Professor in Natural Language Processing Department of Computer and Information Science, Linköping University, Sweden www: https://marcel.bollmann.me/

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CfP: HCII 2024 session on Behavioromics
by Andy Lücking 29 Sep '23

29 Sep '23

--- *Apologies for cross-posting* Call for papers: *Behavioromics* (see below how to contribute) HCI International 2024 Session: "Semantic, artificial and computational interaction studies: Towards a behavioromics of multimodal communication" A common theme that has emerged across different disciplines, especially in recent years, is the transition from monomodal to multimodal domains. This includes, for example, multimodal learning -- learning representations from multiple data modalities --, multimodal communication -- the study of gestures, facial expressions, head movements, and the like in addition to speech --, or multimodal logic -- that is, modal logic with more than one primitive operator. While the predominant use of "multimodal communication" (and its relatives) refers to human-human interaction, other domains can also be conceived in terms of interacting modes. The field of HCI and HRI, with its focus on natural (for humans) interfaces, has paid attention to multimodality from an early stage. It is also an important topic in conversation analysis and cognitive science, and is beginning to percolate into information science and theoretical linguistics. At the same time, due to the digital turn, work on multimodality is being expanded by data analytics using machine learning tools for modelling, detecting, analysing and simulating any form of communication. Relatedly, but independently, symbol grounding approaches have been multimodally extended, and advances in computer vision and multimodal AI are prolific. However, while these fields share a common empirical domain, there is little interaction between them. This session aims to bring these branches together - a collaborative endeavour that we call "behaviouromics". The session is open, but not restricted, to topics such as the following: - multimodal generative AI - predictive multimodal computing - dialogue generation, dialogue systems and dialog semantics - social robot interaction and adaptive behaviour - monitoring and processing in interaction - (big) multimodal data - multimodal data analytics - automatic multimodal annotation beyond written text - virtual reality and augmented reality applications - simulation-based learning in virtual environments - representation schemes for multimodal communication - verbal and non-verbal social signalling in humans and non-humans - the role of multimodality in 4E cognition - notions and theories of multimodality - multimodality in logics We want to emphasize that conceptual contributions are highly welcome! The conference session aims to provide a platform to bring together computer scientists, linguists, psychologists and researchers in related fields who are working on multimodal interaction. We are all working on almost the same topic from different angles, but there are far too few opportunities to interact. But sharing and seeing what others are doing is crucial for the methodological, empirical and theoretical challenges outlined above. The planned session will support this collaboration. The conference session will take place *virtually* in conjunction with HCI International 2024 (https://2024.hci.international/). Full papers will be published as part of the conference proceedings by Springer. *If you want to contribute, please send a message to any one of the organizers until 26 October 2023:* Alexander Mehler (mehler(a)em.uni-frankfurt.de) Andy Lücking (luecking(a)em.uni-frankfurt.de) Alexander Henlein (henlein(a)em.uni-frankfurt.de) Important dates: - until 26 October 2023: send email message to one of the session organizers - 30 October 2023: upload abstract (up to 500 words) - 02 February 2024: full paper is due - 29 June--04 July 2024: HCI International conference (virtual) Session organizers: Alexander Mehler (https://www.texttechnologylab.org/team/alexander-mehler/) Andy Lücking (https://www.texttechnologylab.org/team/andy-luecking/) Alexander Henlein (https://www.texttechnologylab.org/team/alexander-henlein/)

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Job announcement: Postdoc opportunity in Digital humanities, Uppsala University
by Maria Skeppstedt 28 Sep '23

28 Sep '23

Dear colleagues, Could you please forward the job announcement below to all who might be interested? ####################################### Postdoc opportunity in Digital humanities, Uppsala University ActDisease [1] (https://www.actdisease.org) is a five-year research project funded by the European Research Council (ERC) with a Starting Grant (ERC-2021-STG 101040999) and placed at the Department of History of Science and Ideas at Uppsala University, Sweden. The project studies the history of 20th-century medicine and the role of lay involvement in science through analysis of so far largely neglected, but central actors in medical history: patient organizations. These groups first emerged in the late 19th century, and worked towards increased attention to particular illnesses, shared information on disease management, promoted treatments, and developed healthcare resources. The ActDisease project gathers an interdisciplinary research team to analyse the publications and archives of selected patient organizations from four European nations - Sweden, Germany, United Kingdom and France - using a combination of traditional and computer based historiographic methods. The project entails a large-scale digitization of patient organization periodicals and using various text mining technologies to analyze these sources. The particular features of this material and the research questions pose a number of challenges to text mining methods, ranging from its fragmented and multilingual nature to the analysis of relationships between different corpora and professional and lay spheres. We are now accepting applications for a postdoc position (two years full-time employment with the possibility of one further year extension provided sufficient funds) in Digital Humanities. Full details can be found in the announcement: Postdoc in Digital Humanities with focus on historical text mining [2] (https://mp.uu.se/en/web/info/vart-uu/lediga-jobb/-/jobb/658761) Last application date: 2023-10-18 ############## Maria Skeppstedt Research Engineer Centre for Digital Humanities and Social Sciences, Uppsala Uppsala University Links: ------ [1] https://www.actdisease.org [2] https://mp.uu.se/en/web/info/vart-uu/lediga-jobb/-/jobb/658761

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Job: Associate Professor in Linguistics
by Carl Börstell 28 Sep '23

28 Sep '23

The University of Bergen (UiB), Norway invites applications for a permanent position as Associate Professor in Linguistics at The Department of Linguistic, Literary and Aesthetic Studies (LLE). We are seeking a linguist with a strong computational profile (e.g., corpus linguistics, use and creation of digital language resources, quantitative analysis of linguistic data) who is able to teach programming for linguistic purposes as well as topics in general linguistics. Application deadline: November 1st, 2023 Start date: August 1st, 2024 More information about the position and application process: https://www.jobbnorge.no/en/available-jobs/job/250269/associate-professor-i… Carl "Calle" Börstell Associate Professor Department of Linguistic, Literary and Aesthetic Studies (LLE) University of Bergen (UiB) uib.no/en/lle<https://www.uib.no/en/lle>

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Call for Course and Workshop Proposals - ESSLLI 2024
by Tatjana Scheffler 27 Sep '23

27 Sep '23

CALL FOR COURSE AND WORKSHOP PROPOSALS 35th European Summer School in Logic, Language and Information 29 July – 9 August 2024, Leuven, Belgium https://2024.esslli.eu/ (Please note that the Website is not currently online, but will soon be.) Important Dates =============== 1 December 2023: * Deadline for submitting Workshop Titles 15 December 2023: * Deadline for submitting Workshop proposals * Deadline for submitting Course Titles 12 January 2024: * Deadline for submitting Course proposals 9 February 2024: Notification sent to Workshop proposers 4 March 2024: Notification sent to Course proposers The deadline for Workshop submissions and notification differs from those for Course submissions and notification, to allow participants who need a visa to attend a workshop, sufficient time to apply for one. Introduction ============ Under the auspices of the Association for Logic, Language, and Information (FoLLI), the European Summer School in Logic, Language, and Information (ESSLLI) runs every year. Except for 2021, when the school was virtual, it runs in a different European country each year. It takes place over two weeks in the summer, hosts approximately 50 different courses at levels that run from foundational to introductory to advanced, and attracts around 400 participants from all over the world. Since 1989, ESSLLI has been providing outstanding interdisciplinary educational opportunities in the fields of Computer Science, Cognitive Science, Linguistics, Logic, Philosophy, and beyond. It comes from a community which recognizes that advances in our common areas require the contributions of multiple interrelated disciplines. The main focus of ESSLLI is the interface between linguistics, logic and computation, with special emphasis on human linguistic and cognitive ability. Courses, both introductory and advanced, cover a wide variety of topics within the combined areas of interest: Logic and Computation, Computation and Language, and Language and Logic. Workshops are also organized, providing opportunities for in-depth discussion of issues at the forefront of research, as well as a series of invited evening lectures. Topics and Format ================= Proposals for courses and workshops at ESSLLI 2024 are invited in all areas of Logic, Linguistics and Computer Science. Cross-disciplinary and innovative topics are particularly encouraged. Each course and workshop will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week. Proposals for two-week courses should be structured and submitted as two independent one-week courses, e.g. as an introductory course followed by an advanced one. In such cases, the ESSLLI Program Committee reserves the right to accept just one of the two proposals. All instructional and organizational work at ESSLLI is performed completely on a voluntary basis, so as to keep participation fees to a minimum. However, organizers and instructors have their registration fees waived, and are reimbursed for travel and accommodation expenses up to a level to be determined and communicated with the proposal notification. ESSLLI can only guarantee reimbursement for at most one course/workshop organizer, and cannot guarantee full reimbursement of travel costs for lecturers or organizers from outside of Europe. The ESSLLIorganizers would appreciate any help in controlling the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. Categories ========== Each proposal should fall under one of the following categories. Foundational Courses -------------------- Such courses are designed to present the basics of a research area, to people with no prior knowledge in that area. They should be of elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to develop a level of comfort with the fundamental concepts and techniques of the course's topic, thereby contributing to the interdisciplinary nature of our research community. Introductory Courses -------------------- Introductory courses are central to ESSLLI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Such courses should enable researchers from,related disciplines to develop some comfort and competence in the topic considered. Introductory courses in a cross-disciplinary area may presuppose general knowledge of the related disciplines. Advanced Courses ---------------- Advanced courses are targeted primarily to graduate students who wish to acquire a level of comfort and understanding in the current research of a field. Workshops --------- Workshops focus on specialized topics, usually of current interest. Workshop organizers are responsible for soliciting papers and selecting the workshop program. They are also responsible for publishing proceedings if they decide to have proceedings. Proposal Guidelines =================== Course and workshop proposals should closely follow these guidelines to ensure full consideration. Course and Workshop proposals can be submitted by no more than two lecturers/organizers and can be presented by no more than these two lecturers/organizers. All instructors and organizers must possess a PhD or equivalent degree by the submission deadline. Course proposals should mention explicitly the intended course category. Proposals for introductory courses should indicate the intended level, for example as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals of Courses given at ESSLLI in the previous year will have a lower priority of being accepted in the current year. Proposals must be in PDF format and include all the following information: 1. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) 2. General proposal information: Title, category 3. Contents information: a. Abstract of up to 150 words b. Motivation and description (up to two pages) c. Tentative outline d. Expected level and prerequisites e. Appropriate references (e.g. textbooks, monographs, proceedings, surveys) 4. Information required of course proposers: a. Will the course appeal to students outside of the main discipline of the course? b. What experience does the proposer have in presenting an intensive one-week interdisciplinary setting? c. What evidence is there that the course proposer is an excellent lecturer? 5. Information required of workshop organizers: a. Information on relevant preceding meetings and events, if applicable b. Information about potential external funding for participants. Submission Information ====================== Workshops --------------- By 1 December 2023, proposers are asked to submit (via EasyChair) at least the name(s) of the instructor(s), the ESSLLI area+course level and a title and short abstract for the proposed workshop. By 15 December 2023, proposers must complete their submission by uploading a PDF with the actual proposal as detailed above. Courses ----------- By 15 December 2023, proposers are asked to submit (via EasyChair) at least the name(s) of the instructor(s), the ESSLLI area+course level and a title and short abstract for the proposed course. By 12 January 2024, course proposers must complete their submission by uploading a PDF with the actual proposal as detailed above. Submission Portal ================= Please submit your proposals to https://easychair.org/conferences/?conf=esslli2024 EACSL Sponsorship ================= The EACSL will support one Logic and Computation course or workshop addressing topics of interest to Computer Science Logic (CSL) conferences. The selected course or workshop will be designated an EACSL course/workshop in the programme. If you wish to be considered for this, please indicate it in your proposal. Organizing Committee ==================== Tim Van de Cruys (KU Leuven, Department of Linguistics) (chair) Lorenz Demey (KU Leuven Institute of Philosophy) Marie-Francine (Sien) Moens (KU Leuven, Department of Computer Science) Walter Schaeken (KU Leuven Faculty of Psychology and Educational Sciences) Hans Smessaert (KU Leuven, Department of Linguistics) Dirk Speelman (KU Leuven, Department of Linguistics) Program Committee ================= Bonnie Webber (Edinburgh University) (chair) Marie-Francine (Sien) Moens (KU Leuven) (local co-chair) Area Chairs Language and Computation (LaCo) ------------------------------------------- Tatjana Scheffler (Ruhr-Universität Bochum) Carina Silberer (IMS Stuttgart) Ivan Vulic (Cambridge University) Area Chairs Language and Logic (LaLo) ------------------------------------- Heather Burnett (CNRS) Dan Lassiter (Edinburgh University) Bob van Tiel (Radboud University, Nijmegen) Area Chairs Logic and Computation (LoCo) ---------------------------------------- Beniamino Accattoli (INRIA) Louwe Kuijer (University of Liverpool) Fan Yang (Utrecht University) ESSLLI Steering Committee ========================= Jakub Szymanik (University of Trento) (chair) Phokion Kolaitis (University of California, Santa Cruz) (vice-chair) Roman Kuznets (TU Wien) (secretary) Mehrnoosh Sadrzadeh (University College London) Lonneke van der Plas (Idiap) --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44801 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

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ACM CIKM 2023 - REGISTER NOW (Virtual and In-person) - Birmingham, UK, October 21-25,2023
by Ingo Frommholz 26 Sep '23

26 Sep '23

CIKM 2023 In-person and online registration https://cikm2023.org Registration is NOW OPEN for the ACM Conference on Information and Knowledge Management (CIKM) in Birmingham, UK on October 21-25, 2023. Attendance for the main event can be in-person or online. ** For in-person attendance, space is limited, so please register early to secure your spot! ** The conference will contain numerous presented papers of high quality, applied and theoretical research findings as well as world-renown keynote speakers, workshops, tutorials, and networking opportunities. CIKM has a strong tradition of talks and workshops devoted to emerging areas of database management, IR, AI, NLP, and related fields. We are very happy to present the following keynote speakers: Chiraq Shah (University of Washington): Generative AI and the Future of Information Access Yulan He (KIng’s College, London): Interpretable Natural Language Understanding Steffen Staab (University of Stuttgart & University of Southampton): Knowledge Graphs for Knowing More and Knowing for Sure List of accepted papers: https://cikm2023.org/accepted-papers. List of tutorials: https://cikm2023.org/tutorials List of workshops: https://cikm2023.org/workshops In-person and online Registration: https://cikm2023.org/registration-rates Please visit https://cikm2023.org for more information. Looking forward to seeing you in Birmingham! -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024): First Call for Papers
by Announce 25 Sep '23

25 Sep '23

*** First Call for Papers *** 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024) June 19-21, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/iceccs2024/ (*** Submission Deadline: December 8, 2023 AoE ***) Recent years have witnessed a rapidly rising emphasis on the design, implementation and management of complex computer systems which are present in every aspect of human activities, such as manufacturing, communications, defence, transportation, aerospace, hazardous environments, energy, and healthcare. These complex systems are frequently distributed over heterogeneous networks and process a large amount of data, leveraging emerging artificial intelligence (AI), large language models, and machine learning techniques. Complexity arises from many factors, including the dynamic environment and the scenarios these systems operate in, demanding and sometimes conflicting requirements in functionality, efficiency, scalability, security, dependability and adaptability, data heterogeneity, as well as the wide range of development methodologies, programming languages and implementation details. Performance, real-time behaviour, fault tolerance, robustness, security, adaptability, development time and cost, and long life concerns are some of the key issues arising in the development of such systems. The International Conference on Engineering of Complex Computer Systems (ICECCS) is a well-established event that has been held around the world for over 25 years. The goal of this conference is to bring together industrial, academic, and government experts from a variety of application domains and software disciplines, to discuss how the disciplines’ problems and solution techniques interact within the whole system. Researchers, practitioners, tool developers and users, and technology transfer experts are all welcome. The scope of the conference includes long-term research issues, near-term requirements and challenges, established complex systems, emerging promising tools, and retrospective and prospective reflections of research and development into complex systems. LIST OF TOPICS Authors are invited to submit papers describing original, unpublished research results, case studies and tools. Papers are solicited in all areas related to complex computer-based systems, including the causes of complexity and means of avoiding, controlling, or coping with complexity. Topic areas include, but are not limited to: Requirements, modeling and formal methods • Requirements analysis and specification • Model-driven development • Model checking • SAT/SMT solvers for software analysis and testing AI, Complex intelligent models and complex systems • Big data management • Data-drive and AI-backed systems • Machine learning for Software Engineering • AI4SE and SE4AI • Adaptive, self-managing and multi-agent systems Security, reliability and dependability • Safety-critical and fault-tolerant architectures • Formal methods • Security and privacy of complex systems • Privacy-preserving AI • Fairness Software engineering • Verification and validation • Reverse engineering and refactoring • Software architecture • Human Machine Interaction • Agile methods Realistic complex systems • Ubiquitous computing, context awareness, sensor networks • Cyber-physical systems and Internet of Things (IoT) • Autonomous systems and self-healing systems • Industrial case studies Different kinds of contributions are sought, including novel research, lessons learned, experience reports, and discussions of practical problems faced by industry and user domains. The ultimate goal is to build a rich and comprehensive conference program that can fit the interests and needs of different classes of attendees: professionals, researchers, managers, and students. A program goal is to organize several sessions that include both academic and industrial papers on a given topic and culminate panels to discuss relationships between industrial and academic research. SUBMISSION AND PUBLICATION Full papers are divided into two categories: Technical Papers and Experience Reports. The papers submitted to both categories will be reviewed by the program committee members, and papers accepted in either category will be published in the conference proceedings. Technical papers should describe original research, and experience reports should present practical projects carried out in the industry, and reflect on the lessons learnt from them. Short paper submissions describe early-stage, ongoing or PhD research. All short papers will be reviewed by the program committee members, and accepted short papers will be published in the conference proceedings. Submissions to the conference must not have been published or be concurrently considered for publication elsewhere. All submissions will be judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the conference. The proceedings have been published by the Conference Publishing Services (CPS) of the IEEE Computer Society. Submitted manuscripts should be in English and formatted in the style of the double-column IEEE CPS format. Full papers should not exceed 9 pages + 1 page for bibliography, and short papers should not exceed 5 pages + 1 page for bibliography, including figures, references, and appendices. All submissions should be in PDF format. Submissions not adhering to the specified format and length may be rejected immediately without review. Please prepare your manuscripts in accordance with the IEEE CPS guidelines. https://www.ieee.org/conferences/publishing/templates.html . We invite all prospective authors to submit their manuscripts via the ICECCS 2024 portal, hosted by the EasyChair conference management system. https://easychair.org/conferences/?conf=iceccs2024 IMPORTANT DATES • Abstract Submissions Due: 08 December, 2023 AoE • Full Paper Submissions Due: 15 December, 2023 AoE • Acceptance/Rejection Notification: 15 March, 2024 • Camera-ready Due: 15 April, 2024 • Author Registration Due: 15 April, 2024 • Conference Dates: 19-21 June 2024 ORGANISATION Steering Committee Jin Song Dong, National University of Singapore, Singapore Mike Hinchey, University of Limerick, Ireland Xiaohong Li, Tianjin University, China Shaoying Liu, Hiroshima University, Japan Mauro Pezze, University in Lugano, Switzerland Roy Sterritt, Ulster University, United Kingdom Jing Sun (Chair), University of Auckland, New Zealand General Co-Chairs • Yamine Ait-Ameur, IRIT, France • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Guangdong Bai, University of Queensland, Australia • Fuyuki Ishikawa, National Institute of Informatics, Japan

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Job announcement: Associate Professor of Linguistics with a Specialization in Computational Linguistics
by Patrick G. Grosz 24 Sep '23

24 Sep '23

Dear colleagues, Please could you forward the job announcement below to all who might be interested? ####################################### *Job Title: *Associate Professor of Linguistics with a Specialization in Computational Linguistics *Location: *Department of Linguistics and Scandinavian Studies, University of Oslo, Norway *Application Deadline: *31st October 2023 *URL: *<https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-o…> *Description:* A permanent position of Associate Professor of Linguistics with a specialization in Computational Linguistics is available at the Department of Linguistics and Scandinavian Studies, University of Oslo. (Associate Professor is the entry level in Norway, postdocs and newly minted PhDs are eligible to apply; moreover, it is possible to apply for promotion to Full Professor after starting the job.) General linguistics at the department covers all of the discipline's core areas (phonetics, phonology, morphology, syntax, semantics, pragmatics), and a range of methodological approaches, including corpus linguistics and experimental linguistics with a designated focus on the promotion of open science. Resources at the department include the Socio-Cognitive Lab (advanced audio-visual system, eye-trackers and EEG), and we maintain close ties with the TextLab (corpora, databases and other digital resources) at the faculty level. The successful candidate is expected to initiate and lead research, supervise PhD and MA candidates, participate in teaching and in exam setting and assessment at all levels, and to carry out administrative duties in accordance with the needs of the Department. Qualification requirements – PhD or equivalent academic qualifications within linguistics or another discipline related to the profile of the position. – Documented experience with research in computational linguistics that engages with questions from general linguistics (e.g., phonetics, phonology, morphology, syntax, semantics, pragmatics). – An ability to contribute to teaching at all levels, including general courses at the BA level and more advanced BA and MA courses in computational linguistics. – Documented pedagogical skills (either a teaching course certificate or based on teaching experience) and a willingness to take active part in academic leadership and administration. – Documented potential for project acquisition – Excellent English language skills, both spoken and written – Personal suitability and motivation for the position The following qualifications will count in the assessment of the applicants: – Academic qualifications and academic production (publications, tools, programs, libraries, etc) relevant to the advertised position, with emphasis on works published within the last 5 years. Originality and innovative thinking will be weighted more heavily than quantity – International peer-reviewed publications – Experience with research projects – Effort to promote open science, e.g. through open data, open materials, shared code, or preregistrations. – Potential to contribute to the long-term development of the academic and research environment at the Department – Pedagogical qualifications, documented results from teaching and supervision, and disposition to inspire students – Interest and ability in leadership and administration – Ability to create and contribute to a positive environment for collaboration – Experience with and ability to build international networks – Skills within popular dissemination, public outreach and innovation We offer: – Salary NOK 615 000 - 714 000 per annum depending on qualifications – A professionally stimulating working environment – Membership in the Norwegian Public Service Pension Fund – Attractive welfare benefits – The opportunity to apply for promotion to full professorship at a later stage We would like to highlight the following three aspects of the job announcement: – in spite of the title (Associate Professor), this is an entry-level position in the Norwegian system; postdocs and newly minted PhDs are eligible to apply, but their thesis must have been submitted by the application deadline, which should be documented; – the position is permanent/tenured; moreover, it is possible to apply for promotion to Full Professor after starting the job; – applicants are not required to know Norwegian or another Scandinavian language by the start date, and the faculty provides support for learning Norwegian after arriving in Oslo. For more information on the position and how to apply, see the full job announcement at the application link provided below. *Web Address for Applications: *<https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-o…>

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2 CFP: PROPOR 2024
by Livy Real 24 Sep '23

24 Sep '23

************************************************************************************ PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th to 15th 2024 2nd Call for Papers https://propor2024.citius.gal/ ************************************************************************************ The International Conference on Computational Processing of Portuguese (PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. We call for papers describing work on any topic related to computational language and speech processing of Portuguese/Galician by researchers in the industry or academia. Topics of interest include, but are not limited to: -Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) -Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) -Natural language generation -Information extraction and information retrieval -Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) -Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) -Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) -NLP-oriented linguistic description or theoretical analysis -Distributional semantics and language modeling -Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, and Sao Tome and Principe) -Multilingual studies, methods, applications and resources including Portuguese/Galician PROPOR 2024 will be held at the University of Santiago de Compostela (Santiago de Compostela - Galicia, Spain) from March 14th to March 15th. PROPOR 2024 will be the 16th edition of the biennial PROPOR conference, hosted alternately in Brazil and in Europe (Portugal/Galicia). Past meetings were held in Lisbon, PT (1993); Curitiba, BR (1996); Porto Alegre, BR (1998); Évora, PT (1999); Atibaia, BR (2000); Faro, PT (2003); Itatiaia, BR (2006); Aveiro, PT (2008); Porto Alegre, BR (2010); Coimbra, PT (2012); São Carlos, BR (2014), Tomar, PT (2016), Canela, BR (2018), Évora, PT (2020), and Fortaleza, BR (2022). * Submissions: Submissions should describe original, unpublished work. Authors are invited to submit two kinds of papers: -Full papers – Reporting substantial and completed work, especially those that may contribute in a significant way to the advancement of the area. Wherever appropriate, concrete evaluation results should be included. Full papers may consist of up to 8 pages of content, plus unlimited pages of references. -Short papers – Reporting small, focused contributions such as ongoing work, position papers, potential ideas to be discussed, or negative results. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Both Full and Short papers will be published in the proceedings of the main conference. Each submission will be evaluated by at least three reviewers. As reviewing will be double-blind, submitted papers must be anonymized, that is, they should not contain the authors’ names and affiliations. Authors must avoid self-references that reveal identity, like, “We previously showed (Smith, 1991) …”. Instead, they should prefer citations such as “Smith (1991) previously showed …”. Separate author identification information will be required as part of the submission process. Submissions to PROPOR 2024 may not be made available online (e.g. via a preprint server), and may not be submitted for review elsewhere while being under review for this conference. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given 1 extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: -LaTeX styelesheet: https://github.com/acl-org/acl-style-files/tree/master/latex -MS Word stylesheet: https://github.com/acl-org/acl-style-files/tree/master/word Paper should be submitted here in the following URL: https://easychair.org/my/conference?conf=propor2024 * Important dates: -Full and short paper submission deadline: 15/10/2023 (23:59 GMT-3) -Notification of paper acceptance or rejection: 15/11/2023 -Camera-ready papers due: 29/11/2023 -Conference: March 14th - 15th, 2024 * Publication: The proceedings of PROPOR 2024 will be published by ACL as a volume in ACL Anthology (https://aclanthology.org/). They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. Kindest regards, António Teixeira, Livy Real & Marcos Garcia PROPOR 2024 Program Chairs -- Livy Real Quinto Andar CE-PLN - SBC

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Last CfP: Pre-reviewed papers for Eval4NLP 2023, the 4th Workshop on Evaluation & Comparison of NLP Systems at AACL 2023
by Juri Opitz 22 Sep '23

22 Sep '23

Dear colleagues, a friendly reminder that this year's Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP) also invites the submission of papers that have already been reviewed, for example either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues. Such papers can be submitted to our workshop together with their reviews and will be subject to a shortened decision process: they will not receive new reviews but will be judged together with their reviews via a meta-review. Authors are also invited to attach a note with comments on the reviews and describe possible revisions. Important dates: Deadline for submitting pre-reviewed papers: **September, 25th** Notification of acceptance: October 2, 2023 All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). Note that Eval4NLP 2023 does **not have a anonymity window**, meaning that whether (and when) pre-prints of papers are uploaded to a public server (e.g., arxiv), will not affect the decision process in any way. However, we ask authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. Please find more information including a submission link and information on paper format as well as paper templates on our homepage: https://eval4nlp.github.io/2023/cfp.html In case of questions, do not hesitate to contact us at eval4nlp(a)gmail.com Best wishes, Your Eval4NLP organizers

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3rd CfP: Natural Language Processing for Digital Humanities (NLP4DH)
by Mika Hämäläinen 22 Sep '23

22 Sep '23

NLP4DH 2023 & IWCLUL 2023 The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan. The proceedings will be published in the ACL anthology<https://aclanthology.org/>. The workshop will take place on December 1-3 2023. https://rootroo.com/en/joint-nlp4dh-iwclul-2023/ Submission deadline: October 1, 2023 Registration/publication fees: 0€! The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to: -Text analysis and processing related to humanities using computational methods -Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation). -Research on cultural heritage collections such as national archives and libraries using NLP -NLP for error detection, correction, normalization and denoising data -Generation and analysis of literary works such as poetry and novels -Analysis and detection of text genres We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH). Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results. Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work. Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website. All submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>. The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted using the conference submission system by the deadline. At least one of the authors of an accepted paper must attend the event and present their paper. Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references. The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities<https://jdmdh.episciences.org/>. Important dates -Paper submission (full and short): October 1, 2023 -Notification of acceptance: November 3, 2023 -Camera ready deadline: November 17, 2023 -NLP4DH & IWCLUL in Tokyo: December 1-3, 2023

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Second call, TAL journal, regular issue 65-1
by Emmanuel Morin 21 Sep '23

21 Sep '23

2024 Volume 65-1 - regular issue Deadline for submission: on the fly until December 31, 2023 Editors : Maxime Amblard, Cécile Fabre, Emmanuel Morin et Sophie Rosset NEW Non-thematic issues of the Automatic Language Processing journal become "on the fly". Thus, each article in issue 65-1 will be evaluated as soon as it is submitted and will be published, subject to its acceptance, within an indicative period of six months after its submission. The call for volume 65-1 is thus open until December 31, 2023. TOPICS The journal Automatic Language Processing has an open call for papers. Submissions may concern theoretical and experimental contributions on all aspects of written, spoken, and signed language processing and computational linguistics, both theoretical and experimental, for example: - Computational models of language - Linguistic resources - Statistical learning and modeling - Intermodality and multimodality - Language multiplicity and diversity - Semantics and comprehension - Information access and text mining - Language production and processing/generation/synthesis - Evaluation - Explicability and reproducibility - NLP in interaction with other disciplines, digital humanities This list is indicative. On all topics, it is essential that the aspects related to natural language processing are emphasized. We also welcome position papers and survey papers. LANGUAGE Manuscripts may be submitted in English or French. THE JOURNAL TAL (http://www.atala.org/revuetal <http://www.atala.org/revuetal> - Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of CNRS (National Centre for Scientific Research). TAL has an electronic mode of publication. IMPORTANT DATES Deadline for submission: on the fly until December 31, 2023 Notification to authors after first review: two months after submission Notification to authors after second review: two months after the first review Publication: two months after the second review FORMAT SUBMISSION Papers must be between 20 and 25 pages long, including references and appendices (with no possible derogation on the length). TAL performs double-blind review: it is thus necessary to anonymise the manuscript and the name of the pdf file and to avoid self references. Style sheets are available for download on the Web site of the journal (https://www.atala.org/content/instruction-authors-style-files-0 <https://www.atala.org/content/instruction-authors-style-files-0>). Authors who intend to submit a paper are encouraged to upload your contribution via the menu "Paper submission" (PDF format). To do so, you will need to have an account on the sciencesconf platform. To create an account, go to the site _http://www.sciencesconf.org <http://www.sciencesconf.org/> and click on "create account" next to the "Connect" button at the top of the page. To submit, come back to the page (soon available) http://tal-65-1.sciencesconf.org/ <http://tal-65-1.sciencesconf.org/>, connect to you account and upload your submission.

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Job - Tenure-track Assistant Professor: Computational Linguistics, Cognitive Science
by Cecilia Alm 21 Sep '23

21 Sep '23

DETAILED JOB DESCRIPTION: The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology<http://www.rit.edu/psychology>) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024. We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply. The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity. We are seeking individuals who have the ability and interest in contributing to a community committed tostudent-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values<http://www.rit.edu/academicaffairs/policiesmanual/p040>, honor code<http://www.rit.edu/academicaffairs/policiesmanual/p030>, and statement of diversity.<http://www.rit.edu/academicaffairs/policiesmanual/p050> THE COLLEGE/ DEPARTMENT: The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology. The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience. The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students. THE UNIVERSITY: Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu<http://www.rit.edu/> . REQUIRED MINIMUM QUALIFICATIONS: * Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics); * Have demonstrated ability to conduct independent research in psychology or closely related fields; * Have consistently and recently published; * Have demonstrated teaching ability and have taught college courses independently beyond TA; * Have demonstrated ability to supervise student research; * Demonstrate external research grant attainment potential; * Demonstrate expertise in research and teaching in cognitive science; * Show a career trajectory that emphasizes a balance between teaching and research; * Show a fit with the Department of Psychology’s general mission, teaching, research, and resources. * Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences. HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments: • A brief teaching philosophy • A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research • The names, addresses and phone numbers for three references • Contribution to Diversity Statement<https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Stat…> You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh(a)rit.edu<mailto:cmdgsh@rit.edu>. Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found. RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit RIT/TitleIX<https://www.rit.edu/academicaffairs/policiesmanual/c270> or the U.S. Department of Education at ED.Gov<https://www2.ed.gov/about/offices/list/ocr/know.html#:~:text=OCR%20enforces….> Cecilia O. Alm, Ph.D. She/Her Joint Program Director, MS in AI, School of Information - rit.edu/study/artificial-intelligence-ms Director, AWARE-AI NSF Research Traineeship Program - rit.edu/nrtai/ Associate Director, Center for Human-aware AI - rit.edu/chai/ Director, Computational Linguistics and Speech Processing lab - rit.edu/clasp Professor, Department of Psychology, CLA, Rochester Institute of Technology Affiliated with the School of Information, Department of Computer Science, Ph.D. Program in Computing and Information Sciences, MS Program in Data Science 92 Lomb Memorial Drive Rochester NY 14623 rit.edu/directory/coagla-cecilia-alm W: 585-475-7327 M: 585-536-7539 coagla(a)rit.edu<mailto:coagla@rit.edu> [RIT | Rochester Institute of Technology]<https://www.rit.edu/> [Twitter]<https://twitter.com/AWAREAINRT> [LinkedIn] <https://www.linkedin.com/in/ceciliaoalm/> CONFIDENTIALITY NOTICE: The contents of this email message and any attachments are intended solely for the addressee(s) and may contain confidential and/or privileged information and may be legally protected from disclosure. If you are not the intended recipient of this message or their agent, or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. If you are not the intended recipient, you are hereby notified that any use, dissemination, copying, or storage of this message or its attachments is strictly prohibited.

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PhD Positions !!!
by Roshni Chakraborty 21 Sep '23

21 Sep '23

Dear All, We are looking for PhD and Postdoctoral applicants for our Computational Social Science Group (https://css.cs.ut.ee/) ! So, if you are interested, please write to us and if you know someone who might be interested, please spread the word!! What is the topic about? ==================== We are interested in topics related to misinformation, media biasness, fairness and explainability on online social media. We are also open to other topics if they overlap with the interests of our group. Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre (https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary ==================== For PhD applicants, the gross salary is 2000 Euros per month for four years, and for Postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: ==================== For PhD applicants, master's degree is required and for postdoc, PhD degree is required. We are open to discuss positions with non-computer science students (who have good programming knowledge). Please drop a mail for any query or to show your interests at contact(a)css.cs.ut.ee<mailto:contact@css.cs.ut.ee> or roshni.chakraborty(a)ut.ee<mailto:roshni.chakraborty@ut.ee> or rajesh.sharma(a)ut.ee<mailto:rajesh.sharma@ut.ee> ! Kind Regards, Roshni Chakraborty, Assistant Professor, Institute of Computer Science University of Tartu, Estonia

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Post-Doc Position in Quantitative Typology in Paris
by Sylvain Loiseau 20 Sep '23

20 Sep '23

The Autogramm research project https://autogramm.github.io/ is excited to announce an open position for a postdoctoral researcher in the field of Quantitative Linguistic Typology. This one-year contract comes with the potential for an additional year upon review. Funded by the ANR (the French National Research Agency), Autogramm focuses on exploring the power of dependency-annotated treebanks to elucidate the structures of under-represented and typologically diverse languages. Our project also explores the extraction of typological generalizations from treebanks using token-based (Levshina 2019) or typometric (Gerdes, Kahane, and Chen 2021) approaches. The appointed postdoctoral researcher will be affiliated with the Lacito Laboratory (Paris/Villejuif) and Lisn Laboratory (Université Paris-Saclay). The researcher will have the opportunity to develop a research project revolving around the creation of a typological database. This database will integrate data from treebanks (based on the Universal Dependency project) and Interlinear Glossed Text (IGT) of various languages. Our aim is to capture the full spectrum of linguistic diversity and generate nuanced, quantitative typological generalizations based on annotated structures, which could eventually lead to automated comparative grammars. Ideal candidates will possess a strong background in language typology and linguistic theory, along with a proven track record in corpus creation and quantitative corpus analysis. The postdoctoral position is set to commence between October 2023 and, at the latest, January 1st 2024 and will continue for two years. To apply, please compile your application into a single PDF file and email it at your earliest convenience to Sylvain Kahane (sylvain(a)kahane.fr) Kim Gerdes (gerdes(a)lisn.fr) and Sylvain Loiseau (sylvain.loiseau(a)univ-paris13.fr). We look forward to receiving your applications. ----- Sylvain Loiseau sylvain.loiseau(a)univ-paris13.fr Université Sorbonne Paris Nord 99 avenue Jean-Baptiste Clément F-93430 Villetaneuse Laboratoire « Langues et civilisations à tradition orale » (UMR 7107 CNRS) Campus CNRS 7, rue Guy Môquet (bât. D) F-94801 Villejuif Cedex http://lacito.cnrs.fr

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Postdoc position, Uppsala Unviersity
by Sara Stymne 20 Sep '23

20 Sep '23

Hi all, We are happy to announce a postdoc position in a cross-disciplinary project about natural hazards, climate policy, and sustainable development. The postdoc will be placed at the Department of Government at Uppsala University, but it has a broad profile, and candidates with a PhD in computational Linguistics and an interest in political science are welcome to apply. The content of the teaching duties is open to negotiation. For the full announcement see: https://www.jobb.uu.se/details/?positionId=657481 Application deadline: October 12 Best, Sara Stymne N?r du har kontakt med oss p? Uppsala universitet med e-post s? inneb?r det att vi behandlar dina personuppgifter. F?r att l?sa mer om hur vi g?r det kan du l?sa h?r: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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Lemon and Noncognitive morphology
by Hugh Paterson III 19 Sep '23

19 Sep '23

Greetings, Does anyone know of any descriptions or approaches to using Ontolex/lemon with non-concatenative morphology? Is the assumption that Cv1Cv2C shaped words will have their own entries for each instance of changes for v1 and v2? If this is the case, then this radically increases the number of items in a dictionary when compared with languages with affix type morphology. Any pointers appreciated, Kind regards, Hugh

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Call for papers - AAC/CFP Corpus 26 - 2025
by Luca Pallanti 19 Sep '23

19 Sep '23

AAC/CFP Corpus 26 - 2025 - https://journals.openedition.org/corpus/ <https://journals.openedition.org/corpus/> Background noise or added value? Managing noise during computer processing of linguistic corpora Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta (eds.) -------FRENCH VERSION BELOW----- The increasing influence of NLP-related methodologies on corpus linguistics has compelled researchers to reassess their practices for managing noise and its impact on research results (Fuchs & Habert, 2004; Léon, 2018; Zalmout et al., 2018). Whether working with long-diachronic corpora (e.g., medieval French), dialectal corpora with limited resources (e.g., oral or written texts in dialectal Arabic, cf. Arabizi), or corpora of texts deviating from the norm (e.g., learner corpora), conducting noise analysis becomes an essential step in drawing linguistic conclusions from the available data (Molinelli & Putzu, 2015; Scaglione, 2018; Litosseliti, 2018). This special issue of Corpus builds upon a workshop held in April 2023 (https://je-bruit-corpus.sciencesconf.org/) and offers an opportunity to examine noise management methods in the fields of NLP and corpus linguistics, as well as their impact on the quality of linguistic data (Kraif & Ponton, 2007; Goutte et al., 2012; Zeroual, 2018). The fundamental inquiries in any linguistic study revolve around defining the research object, understanding the nature of the data, and determining ways to preserve its inherent characteristics throughout the various processing steps (such as lemmatisation, normalisation, labelling, etc.) (Sarrica et al., 2016). Hence, selecting appropriate methods for identifying and controlling noise becomes crucial throughout the entire process, from data collection to the archiving phase, and from data preparation to annotation (Egbert & Baker, 2019). The definition of noise itself is diverse and far from self-evident. In the field of NLP alone, this term encompasses a wide range of highly heterogeneous phenomena, including web peritexts - such as hyperlinks, menus and computer codes - as well as code switching and instances of spelling or grammatical errors that punctuate productions (Al Sharou et al., 2021). This special issue aims to delve into the definition of noise, from a linguistic perspective, and the practices employed by researchers to mitigate the biases that can arise from it. These practices are implemented during collection, recording, and annotation of data. The question of noise inevitably emerges at each stage of the empirical process involved in data construction and analysis: 1. Noise during data collection and recording If one accepts the postulate that "linguistic data is a result" (Benveniste, 1966), decoding the noise stemming from data collection and recording becomes crucial. Depending on the research object, various factors may contribute to data alteration, including the researcher's preconceptions or the biases introduced by an OCR system (Jentsch & Porada, 2020). The key challenge lies in predicting or identifying the potential biases induced by these factors during the selection and formatting of data. This enables better control over subsequent research stages and ensures greater accuracy in the analysis process. 2. Data preparation and pre-processing The methods employed to refine raw data and prepare it for advanced manipulation can give rise to a significant source of noise (or, conversely, of silence, if noise elimination filters are applied). This is particularly evident during the data normalization process (Al Sharou et al., 2021). When transcribing data or correcting errors, researchers must make choices that inevitably influence the nature of the data, either by reducing or enriching its content. As a result, it becomes essential to anticipate the consequences of the transformations introduced by data processing methods (Tanguy, 2012). 3. The annotation process and metadata Initially, corpus annotation aims to enrich the data by categorizing units through a labelling process, depending on the developed analysis model (Péry-Woodley et al., 2011). However, while this process has the potential to introduce noise, it can result in detrimental silence (when missing or erroneous labels lead to incomplete results during data analysis or querying). The concept of metadata also raises questions: does categorizing data transform it into something different? Furthermore, does the absence of agreement or low agreement in annotations produced by humans reflect inter-individual variations akin to noise, or does it stem from the inherent vagueness of the categorizations themselves? *** At each and every step of the process, key methodological questions arise: what threshold can be considered acceptable for noise? How can we differentiate between noise and methodological bias? Is it possible to estimate noise without a ground truth? Which statistical tools are specific to corpus studies and enable the definition of confidence intervals? How can we strike a balance to prevent the noise resulting from compromising research outcomes? *** Proposals for articles may address these topics from a general point of view, offering a theoretical and methodological perspective. Alternatively, they can be based on one or more case studies that focus on specific observations, while highlighting the noise management methods employed throughout the study. References Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA). Retro-planning * July 2023: call for publications. * 10 November 2023: pre-selection based on article summaries. * March 2024: article submission deadline. * June 2024: response to the authors. * June-October 2024: review process with authors to submit the final version of the article. * November-December 2024: editing process. * January 2025: publication. Please note that this retro-planning outlines a general timeline and may vary depending on the specific publication requirements. Abstract submission * Your abstract should be no longer than 1,500 words, including bibliographical references. * Please submit your abstracts by November 10, 2023 to elisa.gugliotta(a)ilc.cnr.it and luca.pallanti(a)univ-lyon2.fr. ----- FRENCH VERSION------ Bruit de fond ou valeur ajoutée ? Gérer le bruit lors des traitements informatiques des corpus linguistiques Sous la direction de Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta English version below L'influence croissante des méthodologies liées au TAL sur la linguistique de corpus oblige les chercheurs à réinterroger les pratiques de gestion du bruit et son impact dans les résultats de recherche (Fuchs & Habert, 2004 ; Léon, 2018 ; Zalmout et al., 2018). Qu'il s'agisse de corpus en diachronie longue (ex. français médiéval), de corpus dialectaux aux ressources limitées (ex. textes oraux ou écrits en arabe dialectal, cf. arabizi), ou encore de corpus de textes éloignés de la norme (ex. corpus d'apprenants), l'analyse du bruit est une étape nécessaire pour tirer des conclusions linguistiques des données ainsi évaluées (Molinelli & Putzu, 2015 ; Scaglione, 2018 ; Litosseliti, 2018). Ce numéro thématique de la revue Corpus, qui fait suite à une journée d'étude sur le même thème organisée en avril 2023 (https://je-bruit-corpus.sciencesconf.org/), sera l'occasion de réfléchir sur les méthodes de gestion du bruit dans les domaines du TAL et de la linguistique de corpus outillée, et à son impact sur la qualité des données linguistiques (Kraif et Ponton, 2007 ; Goutte et al., 2012 ; Zeroual, 2018). Les questions sous-jacentes à toute étude linguistique concernent la définition de l'objet de recherche, la nature des données elles-mêmes, et la manière de préserver autant que possible leurs caractéristiques dans les différents traitements (lemmatisation, normalisation, étiquetage, etc.) (Sarrica et al., 2016). Ainsi, le choix des méthodes d'identification et de contrôle du bruit, de la phase de collecte à celle d'archivage, de la préparation des données à l'annotation, joue un rôle fondamental (Egbert & Baker, 2019). La définition même du bruit est multiple, et ne va pas de soi : dans le seul champ du TAL, ce terme, souvent peu interrogé, désigne des phénomènes variables et très hétérogènes, allant des péritextes du Web - hyperliens, menus et codes informatiques - au code switching, en passant par les erreurs d'orthographe ou de grammaire qui émaillent les productions (Al Sharou et al., 2021). Ce numéro thématique propose de mener une réflexion sur la définition du bruit, dans une perspective linguistique, et sur les pratiques des chercheurs visant à réduire la portée des biais qui en découlent, que ce soit durant la collecte, l'enregistrement ou l'annotation des données. Dans le concret de la recherche, la question du bruit se pose à chaque étape de la démarche empirique de construction et d'analyse des données : 1. Le bruit pendant la collecte et l'enregistrement des données Si l'on accepte le postulat selon lequel " la donnée linguistique est un résultat " (Benveniste, 1966), comment décoder le bruit causé par le recueil des données et leur enregistrement ? En effet, en fonction des objets de recherche, il existe des facteurs potentiels d'altération des données, comme par exemple les préconceptions du chercheur, ou les biais introduits par un système OCR donné (Jentsch & Porada, 2020). L'enjeu consiste alors à prédire ou à déterminer les biais potentiels induits par ces facteurs lors de la sélection et la mise en forme des données pour mieux contrôler les phases de recherche successives. 2. La préparation et le prétraitement des données. Les méthodes choisies pour affiner les données brutes et les rendre disponibles pour des manipulations avancées peuvent représenter une importante source de bruit (ou, au contraire, de silence si on applique un filtre pour éliminer le bruit) : c'est notamment le cas du processus de normalisation des données (Al Sharou et al., 2021). Qu'il s'agisse de transcrire des données ou de corriger des erreurs, le chercheur fait des choix qui impactent nécessairement la nature des données, soit en les réduisant, soit en les enrichissant. Il s'agit donc d'anticiper les conséquences des transformations produites par les méthodes de traitement des données (Tanguy, 2012). 3. Le processus d'annotation et les métadonnées À la base, l'annotation des corpus est une étape visant l'enrichissement des données : en fonction du modèle d'analyse mis au point, le chercheur tente de catégoriser des unités à travers un processus d'étiquetage (Péry-Woodley et al., 2011). Cependant, si d'un côté ce processus peut générer du bruit, de l'autre, il peut être une cause de silence fort préjudiciable aux résultats des recherches et à leur interprétation (des étiquettes absentes ou erronées pouvant générer des résultats lacunaires lors de l'analyse ou du requêtage des données). La notion de métadonnée peut également être mise en cause : catégoriser une donnée signifie-t-il la transformer en quelque chose d'autre ? Par ailleurs, l'absence d'accord ou un faible accord dans les annotations produites par l'humain manifeste-t-il des variations interindividuelles assimilables à du bruit, ou au caractère trop vague des catégorisations en jeu ? *** A chaque étape se posent des questions méthodologiques centrales : à partir de quel seuil peut-on considérer le bruit comme acceptable ? Comment différencier bruit et biais méthodologique ? Comment estimer le bruit sans vérité de terrain ? Quels outils statistiques spécifiques à l'étude des corpus permettent de délimiter des intervalles de confiance ? Comment atteindre l'équilibre nécessaire pour que le bruit causé par les traitements des données ne compromette pas les résultats des recherches ? *** Les propositions d'article pourront aborder ces questions d'un point de vue général, sous un angle théorique et méthodologique, ou s'appuyer sur une ou plusieurs études de cas portant sur des observations particulières, en prenant soin de mettre en lumière les méthodes de gestion du bruit tout au long de l'étude. Retro-planning * Juillet 2023 : publication du l'Appel * 10 novembre 2023 : pré-sélection sur résumé * Mars 2024 : remise des articles. Juin 2024 : réponse aux auteurs * Juin-octobre 2024 : navette avec les auteurs pour remise de l'article en forme définitive. * Novembre-décembre 2024 : édition. * Janvier 2025 : publication. Soumission des résumés * Votre résumé comptera 1.500 mots au maximum, références bibliographiques inclues. * Merci de soumettre vos résumés pour le 10 novembre 2023 aux adresses elisa.gugliotta(a)ilc.cnr.it et luca.pallanti(a)univ-lyon2.fr Références Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA).

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Call for Participation: SemRel SemEval Shared Task 1
by Nedjma OUSIDHOUM 19 Sep '23

19 Sep '23

Dear corpora-list members, We are glad to announce the first SemEval shared task on Semantic Textual Relatedness (STR): A shared task on automatically detecting the degree of semantic relatedness (closeness in meaning) between pairs of sentences. The semantic relatedness of two language units has long been considered fundamental to understanding meaning (Halliday and Hasan, 1976; Miller and Charles, 1991), and automatically determining relatedness has many applications such as evaluating sentence representation methods, question answering, and summarization. Two sentences are considered semantically similar when they have a paraphrasal or entailment relation. On the other hand, relatedness is a much broader concept that accounts for all the commonalities between two sentences: whether they are on the same topic, express the same view, originate from the same time period, one elaborates on (or follows from) the other, etc. For instance, for the following sentence pairs: - Pair 1: a. There was a lemon tree next to the house. b. The boy enjoyed reading under the lemon tree. - Pair 2: a. There was a lemon tree next to the house. b. The boy was an excellent football player. Most people will agree that the sentences in pair 1 are more related than the sentences in pair 2. In this task, new textual datasets will be provided for Afrikaans <https://en.wikipedia.org/wiki/Afrikaans>, Algerian Arabic <https://en.wikipedia.org/wiki/Algerian_Arabic>, Amharic <https://en.wikipedia.org/wiki/Amharic>, English, Hausa <https://en.wikipedia.org/wiki/Hausa_language>, Hindi <https://en.wikipedia.org/wiki/Hindi>, Indonesian <https://en.wikipedia.org/wiki/Indonesian_language>, Kinyarwanda <https://en.wikipedia.org/wiki/Kinyarwanda>, Marathi <https://en.wikipedia.org/wiki/Marathi_language>, Moroccan Arabic <https://en.wikipedia.org/wiki/Moroccan_Arabic>, Modern Standard Arabic <https://en.wikipedia.org/wiki/Modern_Standard_Arabic>, Punjabi <https://en.wikipedia.org/wiki/Punjabi_language>, Spanish <https://en.wikipedia.org/wiki/Spanish_language>, and Telugu <https://en.wikipedia.org/wiki/Telugu_language>. Data Each instance in the training, development, and test sets is a sentence pair. The instance is labeled with a score representing the degree of semantic textual relatedness between the two sentences. The scores can range from 0 (maximally unrelated) to 1 (maximally related). These gold label scores have been determined through manual annotation. Specifically, a comparative annotation approach was used to avoid known limitations of traditional rating scale annotation methods This comparative annotation process (which avoids several biases of traditional rating scales) led to a high reliability of the final relatedness rankings. Further details about the task, the method of data annotation, how STR is different from semantic textual similarity, applications of semantic textual relatedness, etc. can be found in this paper: https://aclanthology.org/2023.eacl-main.55.pdf Tracks Each team can provide submissions for one, two or all of the tracks shown below: Track A: Supervised Participants are to submit systems that have been trained using the labeled training datasets provided. Participating teams are allowed to use any publicly available datasets (e.g., other relatedness and similarity datasets or datasets in any other languages). However, they must report additional data they used, and ideally report how impactful each resource was on the final results. Track B: Unsupervised Participants are to submit systems that have been developed without the use of any labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long in any language. The use of unigram or bigram relatedness datasets (from any language) is permitted. Track C: Cross-lingual Participants are to submit systems that have been developed without the use of any labeled semantic similarity or semantic relatedness datasets in the target language and with the use of labeled dataset(s) from at least one other language. Note: Using labeled data from another track is mandatory for submission to this track. Deciding which track a submission should go to: - If a submission uses labeled data in the target language: submit to Track A - If a submission does not use labeled data in the target language but uses labeled data from another language: submit to Track C - If a submission does not use labeled data in any language: submit to Track B ** Here ‘labeled data’ refers to labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long. Evaluation The official evaluation metric for this task is the Spearman rank correlation coefficient, which captures how well the system-predicted rankings of test instances align with human judgments. You can find the evaluation script for this shared task on our Github page <https://github.com/semantic-textual-relatedness/Semantic_Relatedness_SemEva…> . Helpful Links - Competition Website: https://codalab.lisn.upsaclay.fr/competitions/15704 - Task Website: <https://afrisenti-semeval.github.io/> https://semantic-textual-relatedness.github.io - Twitter X: <https://twitter.com/AfriSenti2023> https://twitter.com/SemRel2024 - Contact organisers semrel-semeval-organisers(a)googlegroups.com - Google group for participants semrel-semeval-participants(a)googlegroups.com Important Dates - Training data ready: 11 September 2023 - Evaluation Starts: 10 January 2024 - Evaluation End: 31 January 2024 - System Description Paper Due: February 2024 - SemEval workshop: Summer 2024 - (co-located with a major NLP conference) References - Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko. 2019. Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. - M. A. K. Halliday and R. Hasan. 1976. Cohesion in English. London: Longman. - George A Miller and Walter G Charles. 1991. Contextual Correlates of Semantic Similarity. Language and Cognitive Processes, 6(1):1–28 - Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif Mohammad. 2023. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 782–796, Dubrovnik, Croatia. Association for Computational Linguistics. Task Organizers Nedjma Ousidhoum Shamsuddeen Hassan Muhammad Mohamed Abdalla Krishnapriya Vishnubhotla Vladimir Araujo Meriem Beloucif Idris Abdulmumin Seid Muhie Yimam Nirmal Surange Christine De Kock Sanchit Ahuja Oumaima Hourrane Manish Shrivastava Alham Fikri Aji Thamar Solorio Saif M. Mohammad

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VLSP 2023 Evaluation Campaign on Vietnamese text and speech processing
by Nguyen Thi Minh Huyen 19 Sep '23

19 Sep '23

Dear all, I would like to share the information about the VLSP 2023 evaluation campaign on Vietnamese text and speech processing: https://vlsp.org.vn/vlsp2023/eval Registration is still open for several tasks. Thank you for your attention. Best regards, Huyen -- Nguyen Thi Minh Huyen Faculty of Mathematics, Mechanics and Informatics VNU University of Science 334 Nguyễn Trãi, Thanh Xuân, Hà Nội Tel: +84-24-38581530

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2 TT faculty openings at UT Austin
by Matt Lease 19 Sep '23

19 Sep '23

Assistant Professor, Social Informatics: https://apply.interfolio.com/132375 Assistant Professor, Health Informatics: https://apply.interfolio.com/132381 Please direct any questions to facultysearch(a)ischool.utexas.edu -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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2023 Law & Corpus Linguistics Conference Registration
by Brett Hashimoto 18 Sep '23

18 Sep '23

Hello! We're looking forward to the 8th annual Law and Corpus Linguistics Conference at Brigham Young University on Friday, October 13th. Information about the conference can be found HERE<https://corpusconference.byu.edu/2023-home/>. Please make note of the following information in preparation for the conference: Registration You can now register for the conference HERE<https://corpusconference.byu.edu/2023-home/registration/>. Please register early so we can make appropriate plans for meeting spaces and meals. There is no registration fee for this conference. Pre-conference Workshop There will be a workshop, titled Introduction to Corpus Linguistic Applications to Law, on Thursday from 9:00 - 12:00 for linguists who are interested in learning more about legal applications of corpus linguistics. The workshop is free of charge. If you are interested, please register HERE<https://corpusconference.byu.edu/2023-home/pre-conference/>. Lunch will be provided immediately following the workshop. Meals There will be a dinner for registered attendees on Thursday, October 12 at 6:00 pm. Please RSVP on the registration form if you plan to attend. Breakfast, lunch, and snacks will be provided on Friday. Location and accommodation The conference will be held in the J. Reuben Clark Law Building at Brigham Young University. We recommend the Provo Marriott Hotel or the Hyatt Place Provo for nearby accommodation. Travel scholarships We are offering $500 travel scholarships for law students, graduate students in linguistics, or early career professionals. If you are in one of these categories and need assistance with travel funding, please email byulawcorpus(a)law.byu.edu<mailto:byulawcorpus@law.byu.edu> with a brief letter describing how you will benefit from this scholarship and attendance at LCL 2023. Please don't hesitate to reach out if you have additional questions. We hope to see you in October! LCL 2023 Conference Organizing Team

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Call for Abstracts: Sustainable archiving, exploitation, distribution of social media data
by Tatjana Scheffler 18 Sep '23

18 Sep '23

CALL FOR ABSTRACTS "SUSTAINABLE ARCHIVING, EXPLOITATION, AND DISTRIBUTION OF DYNAMIC DATA FROM SOCIAL MEDIA - TWITTER AND BEYOND" Conference from 19 - 20 March 2024 at the German National Library (Frankfurt am Main) Website: https://www.dnb.de/EN/twittertagung Social media is both a source of data for and the focus of a range of research approaches in the humanities, social sciences, IT, sciences and life sciences. The development of social media over time makes it a part of our digital cultural heritage, but the process for institutions to archive and document these in ways which fully reflect its detail and complexity is still only rudimentary. One key reason for this is the unique characteristics of the data in terms of media technology, economics, social factors and aesthetics. This confronts researchers, research institutions and cultural heritage institutions with many different challenges in terms of how to archive, catalogue and provide the data for later use. One example of this is Twitter (now known as “X”). The monetisation of the platform’s internal archive (part of ongoing restructuring of the platform) has had a radical impact on research and archiving. While flexible APIs and access opportunities before early 2023 led to a boom in research activity and the creation of comprehensive collections, access for research and archive has been made increasingly difficult since then. Archiving, cataloguing and providing dynamic data from social media present challenges which affect researchers, research institutions, libraries and archives in equal measure, and the best way to solve these problems is through collaboration and partnership. This requires wide-ranging efforts which would be impossible for a single data community or discipline. The aim of the conference is to facilitate networking between libraries, archives, research institutes and researchers in German-speaking countries who are involved in archiving and long-term use of data and digital objects from social media. Conference presentations should focus on the following topics: • The interaction between research and archiving • Research data problems in Tweet-based research caused by the loss of Twitter as a data provider • The status and maintenance of social media from an archival and cultural-historical perspective, e.g. posts, interactions and platform elements • The consolidation of collections, corpora, and holdings such as metadata • Initiatives to encourage archiving and cataloguing of social media data • Concepts for providing derivative datasets from social media and how these can be used • Ethical questions • Legal issues • The possibility of creating a social media data registry Please submit your abstract (max. 1 page / 500 words) and no more than 1 page of biobibliographic data as a PDF in German or English. Up to 20 minutes are available for each presentation, plus 10 minutes for discussion. Submission to: twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Deadline for submission of abstracts: 31 October 2023 feedback on acceptance of paper: 30 November 2023 Conference The conference will take place from about noon, 19 March 2024 and end in the early evening of 20 March. It will be followed by a data sprint working with a long-term corpus of German Twitter data on 21 & 22 March 2024. More information coming soon. Conference: 19. - 20. March 2024 Data Sprint: 21. - 22. March 2023 Venue: German National Library, Frankfurt am Main Speakers who do not have their own resources for travel may apply for up to €300 to cover travel and accommodation costs. Organisation: Dr. Britta Woldering, Letitia Mölck, German National Library, twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Programme Committee (in alphabetical order) Stefan Dietze (Heinrich Heine University Düsseldorf) Dimitar Dimitrov (GESIS) Christoph Eggersglüß (Philipps University Marburg, NFDI4Culture) Philippe Genêt (German National Library, Text+) Tatjana Scheffler (Ruhr University Bochum) Claus-Michael Schlesinger (University Library, Humboldt University Berlin) Britta Woldering (German National Library) Cooperation partners: Deutsche Nationalbibliothek BERD@NFDI KonsortSWD NFDI4Culture NFDI4Data Science Text+ --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44801 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

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Professor (W2 with Tenure Track to W3) for Speech Science
by Dietrich Klakow 18 Sep '23

18 Sep '23

Saarland University is a campus-based university with a strong international focus and a research-oriented profile. Numerous research institutes on campus and the systematic promotion of collaborative projects make Saarland University an ideal environment for innovation and technology transfer. To further strengthen this excellence in research and teaching, the Department of Language Science and Technology seeks to hire a Professor (W2 with Tenure Track to W3) for Speech Science (m|f|x) Reference n° W2283 Six-year tenure track position, starting April 2025, with the possibility of promotion to a permanent professorship (W3). We are looking for a highly motivated researcher in the field of phonetics, speech science, and speech technology, with extensive knowledge of speech production, perception and acoustics. The successful candidate is expected to have expertise in experimental and computational approaches to research on spoken language. A focus on spoken dialog and conversational speech and/or multimodal aspects of communication is particularly welcome. The Department of Language Science and Technology is internationally recognized for collaborative and interdisciplinary research, and the successful candidate is expected to contribute to relevant joint research initiatives. A demonstrated ability to attract external funding of research projects is therefore highly desired. Phonetics, speech science and speech technology are core elements of our study programs on the M.Sc. and B.Sc./B.A. level, and the successful candidate is expected to teach the associated courses within these programs. What we can offer you: Tenure track professors (W2) have faculty status at Saarland University, including the right to supervise Bachelor’s, Master’s and PhD students. The successful candidate will focus on carrying out world-class research, will lead their own research group, and will undertake teaching and supervision responsibilities. Tenure track professors (W2) with outstanding performance will receive tenure as a full professor (W3) provided a positive tenure evaluation is made. Decisions regarding tenure are made no later than six years after taking up the tenure track position. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centers for language science and computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology organizes about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, phonetics and speech science, speech processing, and corpus linguistics (https://www.uni-saarland.de/en/department/lst.html). The department serves as the focal point of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" (http://www.sfb1102.uni-saarland.de). It is part of the Saarland Informatics Campus (https://saarland-informatics-campus.de/en), which brings together 800 researchers and 2,000 students from 81 countries and collaborates closely with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Applicants will have a PhD or doctorate in an appropriate subject and will have demonstrated a proven track record of independent academic research (e.g. as a junior or assistant professor, or by having completed an advanced, post-doctoral research degree (Habilitation) or equivalent academic activity at a university or research institution). They will typically have completed a period of postdoctoral research and have teaching experience at the university level. They must have demonstrated outstanding research capabilities and have the potential to successfully lead their own research group. The successful candidate will be expected to actively contribute to departmental research and teaching, including introductory lectures in phonetics and phonology, speech science, as well as more advanced lectures. The teaching language is English (in the MSc programs) and German (in the BSc/BA programs). We expect that the successful candidate has, or is willing to acquire within an appropriate period, sufficient proficiency to teach in both languages. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a cover letter and curriculum vitae (including phone number and email address) • a full list of publications • a full list of third-party funding (own shares shown) • your proposed research plan (2-5 pages) • a teaching statement (1 page) • copies of your degree certificates • full-text copies of your 5 most important publications • a list of 3 academic references (including email addresses), at least one of whom must be a person who is outside the group of your current or former supervisors or colleagues. Applications must be received no later than 12 October 2023. Please include the job reference number W2283 when you apply. Please contact crocker(a)lst.uni-saarland.de if you have any questions. Saarland University regards internationalization as an institution-wide process spanning all aspects of university life and it therefore encourages applications that align with its internationalization strategy. Members of the university's professorial staff are therefore expected to engage in activities that promote and foster further internationalization. Special support will be provided for projects that continue with or expand on collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu) or the University of the Greater Region (www.uni-gr.eu). Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.

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Introducing LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking and Prompt Engineering
by Firoj Alam 18 Sep '23

18 Sep '23

Dear all, We are happy to announce the release of our LLMeBench framework. The framework is designed to accelerate and simplify evaluation and benchmarking of large language models. It is modular, language-agnostic and simple to extend. It currently supports interactions with LLMs through APIs. The framework also features zero- and few-shot learning settings. It will be open-sourced to encourage improvements and extensions from the community. The framework currently hosts recipes for a diverse set of Arabic NLP tasks using OpenAI’s GPT and BLOOMZ models. Specifically, it currently serves 31 unique NLP tasks (from word-level to sentence pairs tasks) with specific focus on Arabic tasks, using 53 publicly available datasets. It also comes equipped with 200 prompts for these setups. It has recipes for 12 languages including Arabic, Bangla, Bulgarian, Dutch, English, French, German, Italian, Polish, Russian, Spanish, Turkish, and more to come. We hope this will encourage experimentation with LLMs for multilingual studies content. We extend an invitation to the research community to participate and improve the framework. We are excited to hear all your feedback and suggestions and we thank you for your contribution. For further details please take a look at the repository and the paper below. Code: https://github.com/qcri/LLMeBench Paper: https://arxiv.org/pdf/2308.04945.pdf Regards Firoj ................ Firoj Alam, PhD http://sites.google.com/site/firojalam/

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[Conference] Untangling Associations - Advances in collocation and keyword analysis, Friday 22 september 2023, Montpellier / online
by sascha.diwersy＠univ-montp3.fr 17 Sep '23

17 Sep '23

Praxiling and the CORLI consortium are pleased to announce the conference "Untangling Associations - Advances in collocation and keyword analysis", which will take place on Friday 22 September 2023 at Paul-Valéry University Montpellier and online. Detailed information regarding the conference's description and program can be found below. Conference description For the past few decades, assessing the adequacy of association measures (AM) – be it in the domain of keywords, collocations or collostructional analysis – has been one of the most important strands of corpus linguistic research. Most of the work in this area focussed on finding the one best measure as a trade off between statistical appropriateness and ease of computational implementation, thus reflecting the practice of corpus linguists predominantly favouring data sets based on one single AM for the sake of simplicity. This one-AM-fits-all approach, however, suffers from the fact that the most consensual and widespread AMs, such as log-likelihood ratio (G2), conflate different strands of information (viz. frequency and strength of attraction), whereas data sets used to investigate association phenomena (keywords of target corpora as well as lexical or lexico-grammatical cooccurrence) should be designed to integrate several distinct dimensions, as has been recently pointed out by Stefan Th. Gries (2019, 2021). Starting from Gries’s proposal of the approach called « tupleization », this conference will be the occasion to discuss the present state of the art and possible innovations within the realm of methodological frameworks and studies encompassing keyword, collocation or collostruction analysis. It gathers scholars from different areas of research ranging from corpus linguistics and NLP to Digital Humanities and Textometrics as practised in the French tradition of Discourse Analysis. The conference will be held on Friday 22 September 2023 at Paul-Valéry University Montpellier (campus Saint-Charles 2, Salle des Actes 009) and online via Zoom (access link: https://univ-montp3-fr.zoom.us/j/95367941544). Attendance is free of charge. References Gries, Stefan Th. (2019). 15 years of collostructions: Some long overdue additions/corrections (to/of actually all sorts of corpus-linguistics measures). International Journal of Corpus Linguistics 24 (3), 385–412. Gries, Stefan Th. (2021). A new approach to (key) keywords analysis: Using frequency, and now also dispersion. Research in Corpus Linguistics 9 (2), 1–33. Program 10:00 - 11:00 Stefan Th. Gries: Tupleization in corpus linguistics: how and why 11:05 - 11:45 Martin Hilpert: Why are grammatical elements more evenly dispersed than lexical elements? A reanalysis with a new dispersion measure 11:45 - 12:25 Ludovic Lebart: Dealing with low frequencies or high discrepancies of lexical frequencies: How to adapt the tools of textual data analysis to corpora of poems and lyrics 12:30 - 14:15 Lunch 14:20 - 15:00 Bénédicte Pincemin: The Specificity Measure in Textometry: a Hermeneutic Use of the Fisher's Exact Test 15:00 - 15:40 Christof Schöch: Evaluating Measures of Keyness: A Perspective from Computational Literary Studies 15:40 - 16:20 Ludovic Tanguy & Filip Miletic: Measuring semantic specificities across corpora: looking for semantic shifts in Quebec English 16:20 - 17:00 Coffee break 17:00 - 18:00 Panel discussion Contact : Sascha Diwersy (sascha.diwersy(a)univ-montp3.fr) and Céline Poudat (celine.poudat(a)univ-cotedazur.fr)

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Job - Tenure-track Assistant Professor: Computational Linguistics, Cognitive Science
by Cecilia Alm 16 Sep '23

16 Sep '23

Anticipated Start Date: (Mid August, 2024) DETAILED JOB DESCRIPTION: The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology<http://www.rit.edu/psychology>) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024. We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply. The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity. We are seeking individuals who have the ability and interest in contributing to a community committed to student-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values<http://www.rit.edu/academicaffairs/policiesmanual/p040>, honor code<http://www.rit.edu/academicaffairs/policiesmanual/p030>, and statement of diversity.<http://www.rit.edu/academicaffairs/policiesmanual/p050> THE COLLEGE/ DEPARTMENT: The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology. The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience. The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students. THE UNIVERSITY: Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu<http://www.rit.edu> . REQUIRED MINIMUM QUALIFICATIONS: * Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics); * Have demonstrated ability to conduct independent research in psychology or closely related fields; * Have consistently and recently published; * Have demonstrated teaching ability and have taught college courses independently beyond TA; * Have demonstrated ability to supervise student research; * Demonstrate external research grant attainment potential; * Demonstrate expertise in research and teaching in cognitive science; * Show a career trajectory that emphasizes a balance between teaching and research; * Show a fit with the Department of Psychology’s general mission, teaching, research, and resources. * Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences. HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments: • A brief teaching philosophy • A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research • The names, addresses and phone numbers for three references • Contribution to Diversity Statement<https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Stat…> You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh(a)rit.edu<mailto:cmdgsh@rit.edu>. Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found. Cecilia O. Alm, Ph.D. She/Her Joint Program Director, MS in AI, School of Information - rit.edu/study/artificial-intelligence-ms Director, AWARE-AI NSF Research Traineeship Program - rit.edu/nrtai/ Associate Director, Center for Human-aware AI - rit.edu/chai/ Director, Computational Linguistics and Speech Processing lab - rit.edu/clasp Professor, Department of Psychology, CLA, Rochester Institute of Technology Affiliated with the School of Information, Department of Computer Science, Ph.D. Program in Computing and Information Sciences, MS Program in Data Science 92 Lomb Memorial Drive Rochester NY 14623 rit.edu/directory/coagla-cecilia-alm W: 585-475-7327 M: 585-536-7539 coagla(a)rit.edu<mailto:coagla@rit.edu> [RIT | Rochester Institute of Technology]<https://www.rit.edu/> [Twitter]<https://twitter.com/AWAREAINRT> [LinkedIn] <https://www.linkedin.com/in/ceciliaoalm/> CONFIDENTIALITY NOTICE: The contents of this email message and any attachments are intended solely for the addressee(s) and may contain confidential and/or privileged information and may be legally protected from disclosure. If you are not the intended recipient of this message or their agent, or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. If you are not the intended recipient, you are hereby notified that any use, dissemination, copying, or storage of this message or its attachments is strictly prohibited.

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Final CFP - SCOPUS indexed - 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) - Hybrid Event - Springer Publication
by Anu Bajaj 16 Sep '23

16 Sep '23

** Final Call for Papers - please circulate this CFP to your colleagues and networks ** -- *15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)* -- ** Onsite and On the World Wide Web ** http://www.mirlabs.org/socpar23 <https://er-anubajaj-dot-yamm-track.appspot.com/2JM2liuzWle7Ghg2sWb8bGsSzd85…> http://www.mirlabs.net/socpar23 <https://er-anubajaj-dot-yamm-track.appspot.com/2DIK1Uu77SgGeKhGByhCpkybBwsf…> *SoCPaR 2023 Theme:* Soft Computing Approaches in Large Language Models and Generative Pre-trained Transformers ============================================================================================ ** Venue details and accommodation details are now published ** *Onsite Venues:* Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Kochi, India *Please visit: *https://mirlabs.org/socpar23/venue2.php <https://er-anubajaj-dot-yamm-track.appspot.com/2WCJuTEKKvw_vzt5ULdoVt2ychWe…> December 13-15, 2023 *Organized Special Sessions and Workshops Details:* https://mirlabs.org/socpar23/cfss.php <https://er-anubajaj-dot-yamm-track.appspot.com/2PrcMHFZHrURwGRNxGs-J4Gw54lq…> SOCPAR 2023 will be a hybrid conference that will run fully in-person and virtually to take advantage of the best the two modalities can offer. Besides regular paper presentations, the technical programme will include 8-10 plenary lectures and poster sessions. SOCPAR 2023 Organising Committee also recognizes the benefits of virtual conferences allowing participation at a cheaper rate. This allows a higher number of research scholars and students to attend. Selected authors can attend and present the papers virtually or in one of the FOUR venues in Europe and Asia. *Proceedings of SOCPAR'23* will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. ( https://www.springer.com/series/15179 <https://er-anubajaj-dot-yamm-track.appspot.com/2YAVg1bMUjeV1h8VrOwAMl7An2Dn…> ) Proceedings of SoCPaR'22: https://link.springer.com/book/10.1007/978-3-031-27524-1 <https://er-anubajaj-dot-yamm-track.appspot.com/2DdXhOq2Ce5tB8GMmYFZytW364fR…> *Indexed by*: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink *History of SoCPaR series*: http://www.mirlabs.net/socpar23/previous.php <https://er-anubajaj-dot-yamm-track.appspot.com/2qW2GkUGOLLzFNqSp-w4-CbSQTpY…> ***Important Dates*** -------------------------- Paper submission due: September 30, 2023 Notification of paper acceptance: October 31, 2023 Registration and Final manuscript due: November 10, 2023 Conference: December 13-15, 2023 ***About SoCPaR 2023*** ------------------------------- After the success of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022), SoCPaR 2023 is organized to bring together worldwide leading researchers and practitioners interested in advancing the state-of-the-art in Soft Computing and Pattern Recognition, for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is hoped that researchers and practitioners will bring new prospects for collaboration across disciplines and gain inspiration to facilitate novel breakthroughs. The themes for this conference are thus focused on "Innovating and Inspiring Soft Computing and Intelligent Pattern Recognition". ***Topics (not limited to)*** --------------------------- Soft Computing and Applications (but not limited to):- Evolutionary computing Swarm intelligence Artificial immune systems Fuzzy Sets Uncertainty analysis Fractals Rough Sets Support vector machines Artificial neural networks Case Based Reasoning Wavelets Hybrid intelligent systems Nature inspired computing techniques Machine learning Ambient intelligence Hardware implementations Pattern Recognition and Applications (but not limited to):- Information retrieval Data Mining Web Mining Image Processing Computer Vision Bio-informatics Information security Network security Steganography Biometry Remote sensing Medical Informatics E-commerce Signal Processing Control systems ***Submission Guidelines*** ------------------------------------ Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. *Paper format templates:* https://www.springer.com/de/authors-editors/book-authors-editors/manuscript… <https://er-anubajaj-dot-yamm-track.appspot.com/28oJ1Qa_H7ka1otWV7WbVjhqGRh0…> *SoCPaR’23 Submission Link:* https://cmt3.research.microsoft.com/SOCPAR2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2faA6bVFxOc23JiA9rVqzDujpT6R…> ***Plenary Talks*** ---------------------------------------- You are welcome to attend 12 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Christine Zarges, Aberystwyth University, UK Speaker 2: Theresa Schmiedel, University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland Speaker 3: Ke Feng, Singapore-ETH Centre, The National University of Singapore, Singapore Speaker 4: Stefka Fidanova, Bulgarian Academy of Sciences, Bulgaria Speaker 5: Diego Oliva, Universidad de Guadalajara, Mexico Speaker 6: Sebastian Ventura, University of Cordoba, Spain Speaker 7: Ana Maria Madureira, Instituto Superior de Engenharia do Porto, Portugal Speaker 8: Nuno Bettencourt , Instituto Superior de Engenharia do Porto, Portugal Speaker 9: Aboul Ella Hassanien, Cairo University, Egypt Speaker 10: Milan Tuba, Singidunum University, Serbia Speaker 11: Dalia Kriksciuniene, Vilnius University / Kaunas University of Applied Sciences, Lithuania Speaker 12: Kusum Deep, Indian Institute of Technology Roorkee, India *** SoCPaR 2023 Organization *** ---------------------------------------------- *General Chairs* Ajith Abraham, Machine Intelligence Research Labs, USA Artūras Kaklauskas, Vilnius Gediminas Technical University, Lithuania *Program Chairs* Andries Engelbrecht, University of Stellenbosch, South Africa Oscar Castillo, Tijuana Institute of Technology, Mexico *Publication Chair* Anu Bajaj, Thapar Institute of Engineering and Technology, India *Web Services Chair* Kun Ma, University of Jinan, China *Publicity Chair* Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India *Note:* If you would like to propose a special session, please email Dr. Anu Bajaj <er.anubajaj(a)gmail.com> with a CC to Ms. Mabrouka Salmi < salmimabrouka7(a)gmail.com> ***Technical Contact*** --------------------------------- Dr. Ajith Abraham Email: ajith.abraham(a)ieee.org [image: beacon]

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Job: Tenure Track Assistant Professor of Computational Linguistics at Georgetown University (Washington DC)
by Amir Zeldes 15 Sep '23

15 Sep '23

(apologies for cross-postings) � Tenure Track Assistant Professor of Computational Linguistics at Georgetown University (Washington DC) � � The Department of Linguistics at Georgetown University in Washington, DC invites applications for a tenure-track Assistant Professor position in Computational Linguistics, beginning in August, 2024. � We seek candidates with a commitment to excellence in research and teaching in any area of Computational Linguistics or NLP. The candidate will be expected to lead a vibrant research program, and teach and mentor students at the undergraduate, master’s, and Ph.D. levels – including graduate students within the computational linguistics concentration. � � Of particular interest for this position are linguistically-grounded computational approaches to *interaction* (broadly construed). This includes (for example) research in spoken/signed language processing, dialogue systems, LLMs, and language learning. Also highly valued is research involving underrepresented groups and languages/varieties (including low-resource NLP, as well as bias and ethics in language technologies). � The new hire will join a computational linguistics concentration with faculty who specialize in syntax, semantics, and discourse processing in text. The Linguistics Department at Georgetown is committed to a diversity of perspectives on language, and houses concentrations in computational linguistics as well as theoretical, socio-, and applied linguistics. � � A Ph.D. in Linguistics, Computer Science, or a related field is required. Applicants must have the Ph.D. in hand by the time of the appointment. � Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic protected by law. � Please apply via the application link below. Dossiers should include: � * a letter of application * curriculum vitae * statements of research, teaching, and diversity * 1–3 representative publications * names (with contact information) of three references, who will be contacted by the system to request a letter of recommendation. � All applications received by 1-Nov-2023 will be reviewed in full. � Web Address for Applications: <https://apply.interfolio.com/11780/positions> https://apply.interfolio.com/11780/positions � � For further information, please contact the search committee chairs, Amir Zeldes and Nathan Schneider at <mailto:gu-compling-search@georgetown.edu> gu-compling-search(a)georgetown.edu and see <https://gucl.georgetown.edu/> https://gucl.georgetown.edu/ � � �

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2nd Call for Demonstrations PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Iria de Dios Flores 15 Sep '23

15 Sep '23

[Apologies for cross-postings] ******************************************************** *2nd Call for Demonstrations* PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th & 15th 2024 https://propor2024.citius.gal/ ******************************************************** The PROPOR 2024 demonstration program committee invites submissions for demonstrations. Following the spirit of previous PROPOR editions, the demonstration track aims at bringing together academia and industry, creating a forum where more than written or spoken descriptions of research are available. Thus, demos should allow attendees to try and test them during their presentation in a dedicated session that will provide a more informal and interactive setting. Products, systems, or tools are examples of acceptable demos. Both early-research prototypes and mature systems may also be considered. Demos Submission: December 10 2023 Notification of acceptance or rejection: January 21 2024 Camera-ready demo paper: January 28 2024 Conference: March 14 and 15 2024 *Topics:* The areas of interest include all topics related to theoretical and applied issues of written and spoken Portuguese and Galician, such as, but not limited to, the same topics as for the conference paper submission: - Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) - Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) - Natural language generation - Information extraction and information retrieval - Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) - Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) - Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) - NLP-oriented linguistic description or theoretical analysis - Distributional semantics and language modeling - Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, São Tomé, and Principe) - Multilingual studies, methods, applications, and resources including Portuguese/Galician The systems may be of the following kinds: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for computational linguistics research - Software for demonstration or evaluation - Development tools *Submissions:* Submissions should consist of a non-anonymous brief description document of up to *three pages of content, including references*. Developers must outline the main characteristics of their system/product/tool, provide sufficient details to allow its evaluation, and give information on how they plan to demonstrate it. Developers are encouraged to focus their description on the relevance of the computational processing component of Portuguese or Galician in the proposed system. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given one extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. Submissions must be sent via EasyChair ( https://easychair.org/my/conference?conf=propor2024) — please select the track: *PROPOR2024 Demo Paper*. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: LaTeX stylesheet: https://github.com/acl-org/acl-style-files/tree/master/latex MS Word stylesheet: https://github.com/acl-org/acl-style-files/tree/master/word The URL for paper submission will be available soon. *Publication:* Accepted demo papers are expected to be published by ACL as a volume in ACL Anthology (https://aclanthology.org/) as part of the PROPOR 2024 proceedings. They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. *Presentation format:* Accepted demos will be presented at a designated demo session with an optional accompanying poster. Developers should make sure they could run their demos properly. Thus, it is the authors’ responsibility to provide the necessary technical conditions (i.e. equipment) for the demo at the conference. Note that the local organizers will not provide any hardware or software. Free high-speed Internet access will be available. There will be a best demo award for the best-presented project. Further details on the date, time, and instructions of the demonstration session(s) will be determined and provided at a later date. *Demo chairs:* Marlo Souza (Universidade Federal da Bahia, Brazil) Iria de-Dios-Flores (Universidade de Santiago de Compostela, Spain) -- *Iria de-Dios-Flores (PhD)* *https://sites.google.com/view/iriadediosflores/ <https://sites.google.com/view/iriadediosflores/>*

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September 2023 Newsletter - LDC
by Penn LDC 15 Sep '23

15 Sep '23

In this newsletter: LDC data and commercial technology development New publications: CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08> CALLFRIEND Russian Text<https://catalog.ldc.upenn.edu/LDC2023T09> ________________________________ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08> was developed by LDC and consists of 48 hours of telephone conversations (100 recordings) between native speakers of Russian. The calls were recorded in 1999 as part of the CALLFRIEND collection, a project designed primarily to support research in automatic language identification. One hundred native Russian speakers living in the continental United States each made a single phone call, lasting up to 30 minutes, to a family member or friend living in the United States. All recordings involved domestic calls routed through LDC's automated telephone collection platform and stored as 2-channel (4-wire) 8-KHz mu-law samples taken directly from a public telephone network via a T-1 circuit. Each audio file is a FLAC-compressed MS-WAV (RIFF) format audio file containing 2-channel, 8-KHz, 16-bit PCM sample data. This release includes call metadata, including speaker gender, the number of speakers on each channel, and call duration. Corresponding transcripts and a lexicon are available in CALLFRIEND Russian Text (LDC2023T09<http://catalog.ldc.upenn.edu/LDC2023T09>). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLFRIEND Russian Text<https://catalog.ldc.upenn.edu/LDC2023T09> contains the corresponding transcripts and a lexicon for CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08>, that is, 48 hours of telephone conversations (100 recordings) between native Russian speakers. The transcripts have four main fields on each line (begin_offset, end_offset, speaker_label, transcript_text) separated by tabs. Each contains a list of time-stamped segments in order according to their begin_offset values, with no blank lines. The lexicon covers the word forms in the 97 transcript files. The main lexicon table contains three columns per row: Cyrillic orthography, phonetic transliteration, and numeric representation of syllabic stress. Corresponding speech data is available as CALLFRIEND Russian Speech (LDC2023S08<http://catalog.ldc.upenn.edu/LDC2023S08>). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Second CFP and Revised Timeline: 2nd Shared Task on Indian Language Summarization (ILSUM 2023)
by Parth Mehta 15 Sep '23

15 Sep '23

Apologies for the multiple postings. ----------------------------- *Indian Language Summarization (ILSUM 2023)* Website: https://ilsum.github.io/ To be organized in conjunction with FIRE 2023 (fire.irsi.res.in) 15th-18th December 2023, Goa, India ------------------------------ The second shared task on Indian Language Summarization (ILSUM) aims at creating an evaluation benchmark dataset for Indian Languages. This year ILSUM consists of two subtasks Subtask 1: This task builds upon the task from ILSUM 2022. In the first edition, we covered two major Indian languages Hindi and Gujarati alongside Indian English, a widely recognized dialect of the English Language. This year's edition adds the Bengali language and an expanded dataset for the languages from last year. Further, we will provide abstractive summaries for a subset of each language (~1000 per language) apart from the headlines which are semi-extractive summaries in nature. Like the previous edition, this will be a classic summarization task, where we will provide ~15,000 article-summary pairs for each language and the participants are expected to generate a fixed-length summary. Subtask 2: The task is centred around identifying factual errors in machine-generated summaries. With the recent implosion of Large Language models, . While these LLMs are very good at summarization, among other NLP tasks, they are often prone to hallucinations. This means the model generates information that is not accurate, not based on its training data, or is completely made up but looks accurate and reliable. Further, such tools can be misused to generate misleading or outright incorrect information. Identifying such inaccuracies can be a challenging task. Through this subtask, we aim to address the problem of identifying factually incorrect information in LLM-generated summaries. Participants will be provided with an article and its corresponding machine-generated summary. The objective is to identify the presence of factual incorrectness in the summaries if any, and classify them in one of the predefined categories. *Tentative Timeline* ------------- 7st August - Training Data Released and Registrations open 10th October - Test Data Release 20th October - Run Submission Deadline 25th October - Results Declared 10th Novemebr - Working notes due 20th November - Reviews Due 30th November - Camera Ready Submissions due 15th-18th December - FIRE 2023 at Goa, India *Organisers* ---------------- Shrey Satapara, Indian Institute of Technology, Hyderabad, India Sandip Modha, LDRP-ITR, Gandhinagar, India Parth Mehta, Parmonic, USA Debasis Ganguly, University of Glasgow, Scotland *For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com**

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AVI 2024 Announcement: 3-7 June 2024, Genoa, Italy
by Gualtiero Volpe 15 Sep '23

15 Sep '23

International Conference on Advanced Visual Interfaces (AVI2024) ================================================================ 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================================ IMPORTANT DATES Workshop and tutorial proposals: Friday, December 1, 2023 Long and short papers: Abstract submission: Wednesday, January 10, 2024 Paper submission: Wednesday, January 17, 2024 Posters and Demos: Paper submission: Thursday, February 29, 2024 Doctoral Consortium: Paper submission: Wednesday, March 27, 2024 (all deadlines are 23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 ---------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair ---------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Information Visualization Intelligent Interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics ---------------------------------------------------------------- **LONG AND SHORT RESEARCH PAPERS** We solicit high-quality original research papers in the area of advanced visual interfaces and Human-Computer Interaction in general. All submissions will be peer-reviewed by an international panel of experts. Accepted long and short research papers will be included in the Proceedings published by ACM Press and available in the ACM Digital Library. Long and Short papers are publications that address AVI 2024 topics and describe original, unpublished research. Submissions must be anonymized. The maximum length of long papers is 8 pages (with one additional page for references). The maximum length of short papers is 4 pages (with one additional page for references). Authors are required to send a 250-word abstract by the abstract deadline, one week before final submission, to speed up the paper assignment to reviewers. **POSTER PAPERS** The AVI 2024 Poster Track allows researchers and practitioners to present their work in progress and obtain precious feedback from their peers in an informal setting. Poster submissions must be up to 2 pages (with one additional page for references), not anonymized. **DEMO PAPERS** The demo track is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive visual interfaces. We are looking for implementations of novel and exciting concepts or systems related to the main topics of AVI. Demo papers must be up to 2 pages (with one additional page for references), not anonymized. **WORKSHOP PROPOSALS** We invite proposals for workshops that will facilitate the exchange of new ideas in all areas related to advanced visual interfaces and Human-Computer Interaction. We invite organizers to propose either half-day or one-day long workshops held on June 3 or June 4, 2024, at the AVI2024 venue. **TUTORIALS** We encourage the proposal of tutorials on specific topics related to AVI and general HCI approaches, methodologies, or technologies. **DOCTORAL CONSORTIUM** The goal of the Doctoral Consortium is to provide a setting for PhD students to present their work and receive feedback on their doctoral research plan and progress. Students will be offered the opportunity to articulate and discuss their problem statement, goals, methods, and results. The Doctoral Consortium also aims at providing students with guidance on various aspects of their research from established researchers and the other students participating in the sessions. Finally, the Doctoral Consortium seeks to motivate students in the development of their scientific curiosity and facilitate their networking within the research community. ---------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Paternò, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Université Côte d'Azur, France

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North Africans in Machine Learning Affinity Workshop at NeurIPS 2023
by Hatem Haddad 14 Sep '23

14 Sep '23

We are thrilled to announce the *Call for Papers for the North Africans in Machine Learning Affinity Workshop*, which will be held at* NeurIPS 2023*. This is your chance to share your groundbreaking research, insights, and discoveries with a vibrant community of peers in the field of Machine Learning. Whether you're a junior researcher or a seasoned expert, and of North African origins. If you have a passion for advancing the theory and applications of ML, we want to hear from you! *Why submit your paper:* - Showcase your work on a prestigious stage. - Gain valuable feedback from experts in the ML community. - Connect with like-minded professionals from North African institutions and beyond. - Contribute to the collective knowledge of the ML field. *Submission Guidelines:* - Papers related to all aspects of Machine Learning are welcome. - Submissions from all North Africans (or with North African origins) are encouraged. - The workshop is open to academia and industry professionals. *Submission Link and Deadlines:* https://docs.google.com/forms/d/e/1FAIpQLSedy0Q7neQsSKV1XmPphEiZmaQuH-QblED… *Website*: https://sites.google.com/view/north africans in ml <https://sites.google.com/view/northafricansinml> *Awards and Recognition:* Outstanding contributions will be recognized, and selected papers may have the opportunity to be featured prominently during the workshop. Join us in making the North Africans in Machine Learning Affinity Workshop at NeurIPS 2023 a resounding success! Submit your paper, share your insights, and be part of this exciting journey in advancing the field of Machine Learning. Stay tuned for more updates and mark your calendars for NeurIPS 2023! Let's shape the future of ML together. *NAML Organizer Team* *--------------------------------------------------------* *Hatem Haddad* Assistant Professor, Manouba University, Tunisia

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Second CFP: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Pablo Gamallo 14 Sep '23

14 Sep '23

Subject: Second CFP: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese [Apologies for cross-postings] ******************************************************** PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th to 15th 2024 2nd Call for Papers https://propor2024.citius.gal/ ******************************************************** The International Conference on Computational Processing of Portuguese (PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. We call for papers describing work on any topic related to computational language and speech processing of Portuguese/Galician by researchers in the industry or academia. Topics of interest include, but are not limited to: * Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) * Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) * Natural language generation * Information extraction and information retrieval * Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) * Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) * Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) * NLP-oriented linguistic description or theoretical analysis * Distributional semantics and language modeling * Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, and Sao Tome and Principe) * Multilingual studies, methods, applications and resources including Portuguese/Galician PROPOR 2024 will be held at the University of Santiago de Compostela (Santiago de Compostela - Galicia, Spain) from March 14th to March 15th. PROPOR 2024 will be the 16th edition of the biennial PROPOR conference, hosted alternately in Brazil and in Europe (Portugal/Galicia). Past meetings were held in Lisbon, PT (1993); Curitiba, BR (1996); Porto Alegre, BR (1998); Évora, PT (1999); Atibaia, BR (2000); Faro, PT (2003); Itatiaia, BR (2006); Aveiro, PT (2008); Porto Alegre, BR (2010); Coimbra, PT (2012); São Carlos, BR (2014), Tomar, PT (2016), Canela, BR (2018), Évora, PT (2020), and Fortaleza, BR (2022). Submissions Submissions should describe original, unpublished work. Authors are invited to submit two kinds of papers: * Full papers – Reporting substantial and completed work, especially those that may contribute in a significant way to the advancement of the area. Wherever appropriate, concrete evaluation results should be included. Full papers may consist of up to 8 pages of content, plus unlimited pages of references. * Short papers – Reporting small, focused contributions such as ongoing work, position papers, potential ideas to be discussed, or negative results. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Both Full and Short papers will be published in the proceedings of the main conference. Each submission will be evaluated by at least three reviewers. As reviewing will be double-blind, submitted papers must be anonymized, that is, they should not contain the authors’ names and affiliations. Authors must avoid self-references that reveal identity, like, “We previously showed (Smith, 1991) …”. Instead, they should prefer citations such as “Smith (1991) previously showed …”. Separate author identification information will be required as part of the submission process. Submissions to PROPOR 2024 may not be made available online (e.g. via a preprint server), and may not be submitted for review elsewhere while being under review for this conference. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given 1 extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: * LaTeX styelesheet * MS Word stylesheet Paper should be submitted here in the following URL: https://easychair.org/my/conference?conf=propor2024 Important dates * Full and short paper submission deadline: 15/10/2023 (23:59 GMT-3) * Notification of paper acceptance or rejection: 15/11/2023 * Camera-ready papers due: 29/11/2023 * Conference: March 14th - 15th, 2024 Publication The proceedings of PROPOR 2024 will be published by ACL as a volume in ACL Anthology (https://aclanthology.org/ ). They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. Kindest regards, António Teixeira, Livy Real & Marcos Garcia PROPOR 2024 Program Chairs

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Life Narrative and the Digital 2023: programme and registration
by Dimitra Grigoriou 13 Sep '23

13 Sep '23

Dear colleagues, We cordially invite you to the one-day conference "Life Narrative and the Digital 2023", which will take place on 27 September 2023 and will be hosted by the Austrian Centre for Digital Humanities and Cultural Heritage. Date: 27 September 2023, 09:00-18:30 Venue: Sitzungssaal, Austrian Academy of Sciences, Dr.-Ignaz-Seipel-Platz 2, 1010 Vienna Website: https://digital-bio-2023.acdh.oeaw.ac.at/ The final programme for the event, in which we will explore the possibilities, uses, and challenges of digital methods and technologies for auto/biographical research and practice, is available here: https://digital-bio-2023.acdh.oeaw.ac.at/data/html/program.html. Registration for the conference is free of charge and open until 20 September: https://pretix.eu/digitalbio/. Please note that this is a hybrid event and that you should indicate your preference for either in-person or online participation. For more information, please consult our conference website, or contact us at amp(a)oeaw.ac.at<mailto:amp@oeaw.ac.at>. With all best wishes, Timo Frühwirth, Dimitra Grigoriou, Sandra Mayer (conference organisers) Dr Sandra Mayer Elise Richter Fellow: “Authors as Activists: Literature, Politics and Celebrity” (FWF V911) Project Lead: “Auden Musulin Papers: A Digital Edition of W. H. Auden’s Letters to Stella Musulin (FWF P33754)” Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) Austrian Academy of Sciences | Österreichische Akademie der Wissenschaften (ÖAW) Bäckerstraße 13, 1010 Wien | Vienna, Austria T: +43 1 51581-2251 Twitter: @AMP_OeAW https://amp.acdh.oeaw.ac.at/ www.sandramayer.org<http://www.sandramayer.org>

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[ArgMining-23] CALL FOR ARR Commitment
by milad.alshomary＠uni-paderborn.de 13 Sep '23

13 Sep '23

CALL FOR ARR Commitment The 10th Workshop on Argument Mining @ EMNLP 2023 December 7, 2023 https://argmining-org.github.io/2023/ The 10th Workshop on Argument Mining will be held on December 7, 2023 in Singapore together with EMNLP 2023. This will be a hybrid event. ArgMining 2023 will accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline (September 25). The Workshop on Argument Mining provides a regular forum for the presentation and discussion of cutting-edge research in argument mining (a.k.a argumentation mining) to both academic and industry researchers. By continuing a series of nine successful previous workshops, this edition will welcome the submission of long, short, and demo papers. It will feature two shared tasks, a panel on the last ten years of Argument Mining, and a keynote talk. IMPORTANT DATES Paper commitment from ARR: September 25, 2023 Notification of acceptance: October 7, 2023 Camera-ready submission: October 18, 2023 Workshop: December 7, 2023 TOPICS OF INTEREST The topics for submissions include but are not limited to: Automatic identification of argument components (e.g., premises and conclusions), the structure in which they form an argument, and relations between arguments and counterarguments (e.g., support and attack) in as well as across documents Automatic assessment of arguments and argumentation with respect to various properties, such as stance, clarity, and persuasiveness Automatic generation of arguments and their components, including the consideration of discourse goals (e.g., stages of a critical discussion or rhetorical strategies) Creation and evaluation of argument annotation schemes, relationships to linguistic and discourse annotations, (semi-) automatic argument annotation methods and tools, and creation of argumentation corpora Argument mining in specific genres and domains (e.g., social media, education, law, and scientific writing), each with a unique style (e.g., short informal text, highly structured writing, and long-form documents) Argument mining and generation from multi-modal and/or multilingual data Integration of commonsense and domain knowledge into argumentation models for mining and generation Combination of information retrieval methods with argument mining, e.g., in order to build the next generation of argumentative (web) search engines Real-world applications, including argument web search, opinion analysis in customer reviews, argument analysis in meetings, misinformation detection Perspectivist approaches to subjective argument mining tasks for which multiple ”ground truths” may exist, including multi-perspective machine learning and the creation of non-aggregated datasets Reflection on the ethical aspects and societal impact of argument mining methods Reflection on the future of argument mining in light of the fast advancement of large language models (LLMs). SUBMISSIONS The organizing committee welcomes the submission of long papers, short papers, and demo descriptions. Accepted papers will be presented either via oral or poster presentations. They will be included in the EMNLP proceedings as workshop papers. - Long paper submissions must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be no longer than eight pages, including title, text, figures and tables. An unlimited number of pages is allowed for references. Two additional pages are allowed for appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution; a negative result; or an interesting application nugget. Short papers must be no longer than four pages, including title, text, figures and tables. An unlimited number of pages is allowed for references. One additional page is allowed for the appendix, and an extra page is allowed in the final version to address reviewers’ comments. - Demo descriptions must be no longer than four pages, including title, text, examples, figures, tables, and references. A separate one-page document should be provided to the workshop organizers for demo descriptions, specifying furniture and equipment needed for the demo. Submission Format All long, short, and demonstration submissions must follow the two-column EMNLP 2023 format. Authors are expected to use the LaTeX or Microsoft Word style template (https://2023.emnlp.org/calls/style-and-formatting/). Submissions must conform to the official EMNLP style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. Submission Link Authors have to fill in the submission form in the START system indicating relevant information to their ARR paper before September 25, 2023, 11:59 pm UTC-12h (anywhere on earth). https://softconf.com/emnlp2023/ArgMining2023/ Double Blind Review ArgMining 2023 will follow the ACL policies for preserving the integrity of double-blind review for long and short paper submissions. Papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. BEST PAPER AWARDS In order to recognize significant advancements in argument mining science and technology, ArgMining 2023 will include best paper awards. All papers at the workshop are eligible for the best paper awards and a selection committee consisting of prominent researchers in the fields of interest will select the recipients of the awards. ArgMining 2023 ORGANIZING COMMITTEE Milad Alshomary, Leibniz University Hannover, Germany Chung-Chi Chen, National Institute of Advanced Industrial Science and Technology, Japan Smaranda Muresan, Columbia University, USA Joonsuk Park, University of Richmond, USA Julia Romberg, Heinrich Heine University of Duesseldorf, Germany

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ACL Survey on Anonymity Period Policy
by ACL Announcements 13 Sep '23

13 Sep '23

Dear ACL Community, ACL is considering multiple proposals to change its anonymity period policy. We seek immediate feedback from our community about two specific proposed changes. The first proposed change would allow authors to freely make versions of their submitted papers available online at any time, for example, on preprint servers such as arXiv or on their personal websites. The second proposed change would allow authors to mention their preprints at any time, including on social media. Taken together, these changes amount to canceling the anonymity period. ACL Call for participation: https://www.aclweb.org/portal/content/survey-anonymity-period-policy Submission Deadline: Friday, 22 September 2023 Please use this link to submit your feedback: https://tinyurl.com/aclarxivpolicy. The survey might take 5 to 10 minutes, and your responses will remain anonymous. Feel free to forward this as you think appropriate. For additional information or suggestions, please feel free to contact any of us. Your contribution is greatly appreciated, and we look forward to hearing from you! Sincerely, ACL Working Group

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Call for abstracts: Special issue on Questionable Research Practice (QRPs)
by Luke Plonsky 12 Sep '23

12 Sep '23

Dear Colleagues, Please see below a call for abstracts for a special issue that my collaborators and I are putting together for *Journal of Second Language Studies* on QRPs in the context of applied linguistics. Thanks for considering this call. Please feel free to share with anyone else who you think might be interested. Best, Luke ### *Call for abstracts for special issue in Journal of Second Language Studies on* *Questionable Research Practices* Questionable research practices (QRPs) comprise the vast gray area in between ideal researcher behavior, on the one hand, and behaviors that are clearly unethical or inappropriate, on the other (see Yaw et al., 2022 <https://doi.org/10.1017/S0261444823000010>). Building on a growing body of QRP-based research both within and beyond applied linguistics (e.g., Fanelli, 2009; Isbell et al., 2022), Larsson et al. (2023) <https://doi.org/10.1016/j.rmal.2023.100064> present a taxonomy of 58 QRPs (found here) <https://sites.google.com/view/qrp-humanities/home/what-are-qrps?authuser=0> for applied linguistics along with ratings for their corresponding frequency and severity. These and other efforts have sought to raise awareness of QRPs in applied linguistics, noting that many present potentially serious threats to the validity of our findings. Nevertheless, this set of QRPs—both individually and in the aggregate—needs to be more fully examined in order to gain a clearer understanding of (a) how, when, and to what extent QRPs occur, (b) when and to what extent they may be problematic, and (c) their context-dependent nature. For example, one QRP is “excessive self-citation”. But what is “excessive” in the context of applied linguistics? Under what circumstances is it all right to frequently cite your own work? Do (excessive) self-citation practices vary across journals, author demographics, and so forth? For this special issue of the *Journal of Second Language Studies* <https://benjamins.com/catalog/jsls>, we invite proposals for articles that explore one or multiple QRPs in applied linguistics, going beyond Larsson et al.’s findings of QRP frequency and perceived severity. We invite contributions applying any methodological approach including surveys, corpus-based techniques, coding of primary studies for evidence of QRPs (i.e., synthetic/meta-analytic techniques), case studies, reviews of curricula and training materials, and interviews (e.g., with researchers at different career stages). The following article types/lengths will be considered: - Full-length articles (maximum 9000 words) - Short reports (3000-5000 words) - Position papers (max 9000 words) *Timeline* October 10, 2023 Abstracts (300 words max + references) sent to luke.plonsky(a)nau.edu November 10, 2023 Decisions with invitations to submit sent to authors July 1, 2024 Initial submission of complete manuscripts for editorial and peer review October 1, 2024 Final submission of manuscripts 2025 Anticipated publication *Special issue editors* Luke Plonsky, Northern Arizona University Tove Larsson, Northern Arizona University Scott Sterling, Indiana State University Kate Yaw, University of South Florida Merja Kytö, Uppsala University

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[CfP] FOCAL Shared Task on Citation Classification at WIESP @ IJCNLP-AACL 2023
by Tirthankar Ghosal 11 Sep '23

11 Sep '23

Dear Colleagues, The deadline to submit a paper in the WIESP workshop is TODAY! https://ui.adsabs.harvard.edu/WIESP/2023/ We have a new shared task on *Citation Classification*. https://ui.adsabs.harvard.edu/WIESP/2023/shared_task_1 If you are interested, please register to participate: https://forms.office.com/g/cUyC00LnWB All the participating teams would be invited to submit a paper describing their system and those would be published as part of WIESP @ IJCNLP-AACL 2023 proceedings in the ACL Anthology. Please feel free to reach us for any questions. Thank you. Best regards, Tirthankar Ghosal -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://elitr.eu/tirthankar-ghosal/ ++++++++++++++++++++++++++++++++++++

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2nd CFP: Special Issue of Computational Linguistics: Language Learning, Representation, and Processing in Humans and Machines
by Marianna Apidianaki 11 Sep '23

11 Sep '23

Second Call for Papers Special Issue of Computational Linguistics: Language Learning, Representation, and Processing in Humans and Machines ** Guest Editors ** Marianna Apidianaki (University of Pennsylvania) Abdellah Fourtassi (Aix Marseille University) Sebastian Padó (University of Stuttgart) ** NEW: Abstract submission deadline: November, 10 ** ** Paper submission deadline: December, 10 ** Large language models (LLMs) acquire rich world knowledge from the data they are exposed to during training, in a way that appears to parallel how children learn from the language they hear around them. Indeed, since the introduction of these powerful models, there has been a general feeling among researchers in both NLP and cognitive science that a systematic understanding of how these models work and how they use the knowledge they encode, would shed light on the way humans acquire, represent, and process this same knowledge (and vice versa). Yet, despite the similarities, there are important differences between machines and humans that have prevented a direct translation of insights from the analysis of LLMs to a deeper understanding of human learning. Chief among these differences is that the size of data required to train LLMs far exceeds -- by several orders of magnitude -- the data children need to acquire sophisticated conceptual structures and meanings. Besides, the engineering-driven architectures of LLMs do not appear to have obvious equivalents in children's cognitive apparatus, at least as studied by standard methods in experimental psychology. Finally, children acquire world knowledge not only via exposure to language but also via sensory experience and social interaction. This edited volume aims to create a forum of exchange and debate between linguists, cognitive scientists and experts in deep learning, NLP and computational linguistics, on the broad topic of learning in humans and machines. Experts from these communities can contribute with empirical and theoretical papers that advance our understanding of this question. Submissions might address the acquisition of different types of linguistic and world knowledge. Additionally, we invite contributions that characterize and address challenges related to the mismatch between humans and LLMs in terms of the size and nature of input data, and the involved learning and processing mechanisms. Topics include, but are not limited to: • Grounded learning: comparison of unimodal (e.g., text) vs multimodal (e.g., images and video) learning. • Social learning: comparison of input-driven mechanisms vs. interaction-based learning. • Exploration of different knowledge types (e.g., procedural / declarative); knowledge integration and inference in LLMs. • Methods to characterize and quantify human-like language learning or processing in LLMs. • Interpretability/probing methods addressing the linguistic and world knowledge encoded in LLM representations. • Knowledge enrichment methods aimed at improving the quality and quantity of the knowledge encoded in LLMs. • Semantic representation and processing in humans and machines in terms of, e.g., abstractions made, structure of the lexicon, property inheritance and generalization, geometrical approaches to meaning representation, mental associations, and meaning retrieval. • Bilingualism in humans and machines; second language acquisition in children and adults; construction of multi-lingual spaces and cross-lingual correspondences. • Exploration of language models that incorporate cognitively plausible mechanisms and reasonably-sized training data. • Use of techniques from other disciplines (e.g., neuroscience or computer vision) for analyzing and evaluating LLMs. • Open-source tools for analysis, visualization, or explanation. Submission Instructions ** NEW ** Authors are strongly encouraged to submit a short (max 1 page) abstract of their paper by November 10. Abstracts will be sent to the Guest Editors (e-mails below). Minor modifications to the abstract will still be possible until final submission. Papers should be formatted according to the Computational Linguistics style guidelines: http://cljournal.org/ We accept both long and short papers. Long papers are between 30 and 40 journal pages in length; short papers are between 15 and 25 pages in length. Papers for this special issue will be submitted through the CL electronic submission system, just like regular papers: http://cljournal.org/submissions.html Authors of special issue papers will need to select “Special Issue on LLPR” under the Journal Section heading in the CL submission system. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers. Timeline Deadline for abstract submission: November, 10 2023 Deadline for paper submission: December, 10 2023 Notification after 1st round of reviewing: February, 10 2024 Revised versions of the papers: April, 30 2024 Final decisions: June, 10 2024 Final version of the papers: July, 1 2024 Inquiries All inquiries should be directed to the guest editors of this special issue. Guest Editors Marianna Apidianaki marapi(a)seas.upenn.edu <mailto:marapi@seas.upenn.edu> Abdellah Fourtassi abdellah.fourtassi(a)gmail.com <mailto:abdellah.fourtassi@gmail.com> Sebastian Padó pado(a)ims.uni-stuttgart.de <mailto:pado@ims.uni-stuttgart.de> Reviewers Afra Alishahi, Tilburg University Rachel Bawden, INRIA Philippe Blache, Aix-Marseille University, CNRS Idan Blank, UCLA Gemma Boleda, Universitat Pompeu Fabra Marie-Catherine de Marneffe, UCLouvain, FNRS, The Ohio State University Katrin Erk, University of Texas at Austin Benoit Favre, Aix-Marseille University Richard Futrell, UC Irvine Aina Garí Soler, Télécom-Paris Mario Giulianelli, University of Amsterdam Gabriel Grand, MIT Dieuwke Hupkes, META Anna Ivanova, MIT Jordan Kodner, Stony Brook University Andrew Lampinen, DeepMind Roger Levy, MIT Tal Linzen, New York University (NYU) Barbara Plank, LMU Munich Christopher Potts, Stanford University Veronica Qing Lyu, University of Pennsylvania Okko Räsänen, Tampere University Anna Rogers, IT University of Copenhagen Thomas Schatz, Aix-Marseille University Sebastian Schuster, Saarland University Cory Shain, Stanford University Jörg Tiedemann, University of Helsinki Sean Trott, University of California, San Diego Ivan Vuliç, University of Cambridge Computational Linguistics is the longest-running flagship journal of the Association for Computational Linguistics. The journal has a high impact factor: 9.3 in 2022 and 7.778 in 2021. Average time to first decision of regular papers and full survey papers (excluding desk rejects) is 34 days for the period January to May 2023, and 47 days for the period January to December 2022.

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[Call for participation] Test a Dialogue System for Automata Accessibility
by Elisa Di Nuovo 11 Sep '23

11 Sep '23

Dear Esteemed Colleagues, We are a research group of the Computer Science Department and Polin Laboratory at University of Turin. We need your contribution to test a dialogue system for exploring finite automata with the accessibility goal in mind. *Introducing the NoVAGraphS Research Experiment* Our research team comprising Alessandro Mazzei, Luca Anselma, Pier Felice Balestrucci, Cristian Bernareggi, Elisa Di Nuovo and Manuela Sanguinetti, is thrilled to extend a heartfelt invitation to individuals with a basic knowledge of *English* and* finite state automata*. We need your valuable insights to evaluate our prototype system designed to enhance the accessibility of automata, a graphical structure usually taught in Computer Science courses which is not yet fully accessible for individuals with visual impairments. *What would you expect?* - You will interact with a prototype dialogue system using a web interface to explore a simple automaton. - Moreover, you will explore another simple automaton using a state transition table. - Finally, we will ask you some questions to assess your understanding of the two automata and collect your precious feedback on the usability of the dialogue system. Rest assured, any personal information collected will remain completely anonymous. - It will take approximately 15 minutes (standard deviation = 5 minutes :D). *Interested in participating or needing more information to decide?* In both cases, please contact Pier at the following email address: pierfelice.balestrucci[at]unito.it Kind regards, Elisa Di Nuovo on behalf of NoVAGraphS Research Group -- Alessandro Mazzei, Luca Anselma, Pier Felice Balestrucci, Cristian Bernareggi, Elisa Di Nuovo, Manuela Sanguinetti http://www.integr-abile.unito.it/progetto-novagraphs/ (website only in Italian)

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[FinNLP@IJCNLP-AACL-2023] Deadline Extended: 15 Sep, 2023
by CHUNG-CHI CHEN 09 Sep '23

09 Sep '23

Dear Colleagues, We received some requests about the extension of the submission deadline. Because we still have some time to wait for more interesting submissions, we have decided to extend the submission deadline to 15 Sep. 2023 (AoE). FinNLP@IJCNLP-AACL-2023 will be held in hybrid mode. While we encourage in-person attendance, we understand the need for flexibility and will also be accommodating live online presentations. We also have a Multi-Lingual ESG Impact Type Identification (ML-ESG-2) shared task. Please join us if you are interested in ESG topics. We are looking forward to your participation in FinNLP@IJCNLP-AACL-2023. For more details, please refer to FinNLP-2023 website: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/home Best Regards, Chung-Chi Chen --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org Website: http://cjchen.nlpfin.com

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Job Announcement: Researcher
by Siegel, Melanie, Prof. Dr. 08 Sep '23

08 Sep '23

Hello, in the research project "BoTox - Bot and context detection in the environment of hate speech" a position for a research assistant is advertised. https://h-da.de/fileadmin/h_da/Hochschule/Stellenangebote/Mitarbeiter/378_2… There is a possibility to do a PhD in the Hessian PhD Center for Applied Computer Science. For questions about the position and the project, please do not hesitate to contact me. Best regards, Melanie Siegel /*****************************************************/ Prof. Dr. Melanie Siegel Information Science Darmstadt University of Applied Sciences Schöfferstraße 3 D-64295 Darmstadt https://sis.h-da.de<https://sis.h-da.de/> www.melaniesiegel.de<http://www.melaniesiegel.de/> https://fz.h-da.de/detox /*****************************************************/

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Final CFP: Normalization of Genetic Phenotypes from Dysmorphology Physical Examinations @ BioCreative VIII - track 3
by Davy Weissenbacher 07 Sep '23

07 Sep '23

*Task:* We call for automated systems to extract and normalize the findings of dysmorphology physical examinations. The dataset consists of 3136 de-identified observations with dysmorphic findings manually annotated and normalized with their corresponding HumanPhenotype Ontology <https://hpo.jax.org/app/> (HPO) terms. *Motivation:* Dysmorphology physical examinations catalog minor morphological differences of patients’ bodies and may also identify general medical signs such as neurologic dysfunction. These findings enable correlations of patients with known rare genetic diseases and allow researchers to delineate undescribed genetic conditions. These medical findings are nearly always captured as unstructured free text within the electronic health record, making them unavailable for downstream computational analysis. Advanced natural language processing methods are therefore required to retrieve the information from the records. *Challenge:* Both extraction and normalization are challenging. The extraction is challenging due to the descriptive style of the examinations which, for conciseness, report findings with disjoint and overlapping mentions. The normalization is challenging due to the large scale of the HPO ontology which requires a normalizer to learn the task without supervision since our training set does not provide examples of all terms in the HPO. See https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for details., in short: - 3136 de-identified observations with dysmorphic and normal findings manually annotated and normalized with their corresponding Human Phenotype Ontology <https://hpo.jax.org/app/> terms - Baseline systems available (e.g. doc2HPO <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> , NeuralCR <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> , PhenoTagger <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> , PhenoBERT <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>, and txt2HPO <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> ) - Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351 - Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC [Apologies for cross-posting] Best regards, Davy

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2nd CfP: NLP4DH & IWCLUL 2023
by Mika Hämäläinen 07 Sep '23

07 Sep '23

NLP4DH 2023 & IWCLUL 2023 The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan. The proceedings will be published in the ACL anthology<https://aclanthology.org/>. The workshop will take place on December 1-3 2023. https://rootroo.com/en/joint-nlp4dh-iwclul-2023/ Submission deadline: October 1, 2023 Registration/publication fees: 0€! The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to: -Text analysis and processing related to humanities using computational methods -Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation). -Research on cultural heritage collections such as national archives and libraries using NLP -NLP for error detection, correction, normalization and denoising data -Generation and analysis of literary works such as poetry and novels -Analysis and detection of text genres -Submissions are not limited to Uralic languages! In addition, IWCLUL solicits papers that focus on NLP methods for Uralic languages. Many of these languages are endangered and call for innovative NLP approaches that can deal with small amounts of data. A list of suitable IWCLUL topics include but are not limited to: -Parsers, analysers and processing pipelines of Uralic languages -Lexical databases, electronic dictionaries -Finished end-user applications aimed at Uralic languages, such as spelling or grammar checkers, machine translation or speech processing -Evaluation methods and gold standards, tagged corpora, treebanks We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH) or NLP methods for Uralic languages (IWCLUL). Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results. Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work. Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website. All submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>. The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted using the conference submission system by the deadline. At least one of the authors of an accepted paper must attend the event and present their paper. Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references. The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities<https://jdmdh.episciences.org/>. Important dates -Paper submission (full and short): October 1, 2023 -Notification of acceptance: November 3, 2023 -Camera ready deadline: November 17, 2023 -NLP4DH & IWCLUL in Tokyo: December 1-3, 2023

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[Final CfP] [Deadline Extended] Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023
by Tirthankar Ghosal 06 Sep '23

06 Sep '23

*** Second Workshop on Information Extraction from Scientific Publications ( WIESP) at IJCNLP-AACL 2023 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ *** *** Twitter: https://twitter.com/wiesp_nlp *** Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second Workshop on Information Extraction from Scientific Publications (WIESP) will provide a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques. A lot of technological change happened in one year (since the 1st WIESP), especially with Generative Artificial Intelligence research. We are incorporating a few additional topics to stay abreast with the latest developments and research in the community. The 2nd iteration of WIESP would focus on the following topics (but not limited to): - Large Language Models (LLMs) for Science - Application of LLMs on information extraction, generation, mining and knowledge discovery from scientific publications - Probing LLMs for scientific fact checking and misinformation - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata In addition to research paper presentations, WIESP will also feature keynote talks, a panel discussion on “Large Language Models and Scientific Literature Mining'', and shared tasks. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. We strongly encourage the participation of students, researchers, and science practitioners from diverse backgrounds, especially from underrepresented groups and communities, to be a part of WIESP events, and pro-actively make the workshop a diverse and inclusive one. ****Call for Papers**** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. In addition to papers, WIESP will also host shared tasks. More details on the WIESP shared tasks will be available on our website shortly. Also, we will publish separate CfPs on the shared tasks. Shared task authors will be invited to write their system descriptions and those will be subjected to peer review. ***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)*** The citation graph is an essential tool for helping researchers find relevant literature. To further empower discovery, we aim to label the edges of the graph with the function of the citation: e.g. is the cited work necessary background knowledge, or is it used as a comparison, to the citing work? To start this process, we propose a shared task of automatically labelling citations with a function based on the textual context of the citation. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks *All accepted papers would be published in the WIESP proceedings as part of IJCNLP-AACL 2023 and indexed in the ACL Anthology.* ***Important Dates*** - Paper Submission Deadline: *September 11, 2023 (final extended deadline)* - Notification of workshop paper/abstract acceptance: October 5, 2023 - Camera-ready Submission Deadline: October 12, 2023 - Workshop: November 1, 2023 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ****Submission Website and Format**** Submission Link: https://softconf.com/ijcnlp2023/WorkshopWIESP2023/ Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. We follow the same policies as IJCNLP-AACL 2023 regarding anonymity, preprints and double submissions. ***Organizers*** - Tirthankar Ghosal, National Center for Computational Sciences| Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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FOIS 2023 Online: Call for Participation
by Selja Seppälä 06 Sep '23

06 Sep '23

===== Call for Participation to online FOIS 2023 conference, showcases and demos ===== Program: https://fois2023.griis.ca/online-conference/ Registration: https://event.fourwaves.com/fr/fois2023/inscription (free registration for students) ==================================================================================== 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), September 18-20, 2023 (Online) Definition and scope ==================== The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. Program ==================== Monday September, 18th EDT (UTC -4) CEST (UTC +2) 08:15-08:30 14:15-14:30 FOIS online Welcome Zoom 08:30-10:30 14:30-16:30 Session 1: Foundational concepts (Chair: Laure Vieu) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 Ontology showcases and demos gather.town Tuesday September, 19th 08:30-09:00 14:30-15:00 Invited talks special session (TBC) Zoom 09:00-10:30 15:00-16:30 Session 2: Methodological issues (TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 ESAO panel Zoom Wednesday September, 20th 09:00-10:30 15:00-16:30 Session 3: Domain ontologies (TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 IAOA General Assembly Zoom 12:00-12:15 18:00-18:15 Closing Zoom Details: https://fois2023.griis.ca/onlinesession/ Registration fees ==================== Online presenter: 500 CAN / 340 EUR Listener - regular fee (academia or industry): 100 CAN / 70 EUR Listener - reduced fee (student or participant from less developed contry): free More information: https://fois2023.griis.ca/registration/ Conference Organization ======================= General Chair: Antony Galton, University of Exeter, UK PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France Torsten Hahmann, University of Maine, USA Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France Workshop and Tutorial Chairs: Megan Katsumi, University of Toronto, Canada Emilio Sanfilippo, ISTC-CNR, Trento, Italy Early Career Chairs: Antoine Zimmermann, École des Mines de Saint-Étienne (EMSE), France Guendalina Righetti, Free University Bozen/Bolzano, Italy Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK Tiago Prince Sales, University of Twente, Netherlands Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany Selja Seppälä, University College Cork, Ireland Proceedings Chair: Maria Hedblom, Jönköping University, Sweden Program committee: https://fois2023.griis.ca/conference-organization/

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CFP, the 8th Biomedical Linked Annotation Hackathon (BLAH8)
by Jin-Dong Kim 05 Sep '23

05 Sep '23

The 8th Biomedical Linked Annotation Hackathon (BLAH8) 15 - 19 January, 2024 Kashiwa, Chiba, Japan https://blah8.linkedannotation.org/ Submission due of project proposals : 20 Oct., 2023 INTRODUCTION BLAH (Biomedical Linked Annotation Hackathon) represents a series of annual hackathon events, specifically designed to foster open collaboration. The goal is to achieve a breakthrough in the sharing and linking of various resources for biomedical literature annotation and mining. By enhancing the interoperability of these resources, the initiative aims to substantially increase both the productivity and the impact within the community. Within the scope of BLAH, the term "resources" encompasses a wide range of elements including corpora, annotation datasets, databases, language models, software tools, web services, terminologies, ontologies, graphical representations, movies, and more. The aspiration of BLAH is to create connections between all these resources, allowing them to interoperate seamlessly. We believe this integration will foster a more cohesive and effective environment for all stakeholders. Unfortunately, the pandemic led to a temporary halt in the organization of BLAH events. However, with the world gradually reopening, BLAH is excited to announce its return with the 8th edition (BLAH8). In recognition of the era of Large Language Models (LLMs), BLAH8 will center around a special theme: "Biomedical Annotations in the Age of LLMs." This theme represents a contemporary focus for the community and signals a commitment to staying at the forefront of technological advancements in the biomedical field. Through BLAH8, we aspire to explore the potential synergy between LLMs and literature annotations, diving deep into various facets of biomedical applications. CALL FOR PROJECT PROPOSALS We invite submission of project proposals from those who are interested in contributing biomedical literature annotation with their literature annotation resources, and expertise, particularly this year with a connection to LLMs. We invite projects which can be accomplished during the hackathon. The type of contribution may include, but not restricted to - Integration of annotation resources - Evaluation of annotation resources - Application of annotation resources - ... Submission due of project proposals is 20 Oct., 2023 TRAVEL SUPPORT Those who submit project proposals are eligible to apply for travel support. See the homepage for detailed information. PUBLICATION Immediately after BLAH8, participants will be invited to submit papers, e. g., report of the hackathon outputs, to either of the two venues: - Genomics & Informatics : an open access journal, which is indexed by PubMed. All the papers of the journal will be immediately included in the PMC open access subset. - BioHackrxiv : a preprint server, which is powered by OSF preprints and indexed by EuropeanPMC. PROGRAM COMMITTEE - Jin-Dong Kim (DBCLS, ROIS-DS) - Fabio Rinaldi (IDSIA) - Lars Juhl Jensen (Univ. Copenhagen) - Zhiyong Lu (NCBI, NLM)

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2nd CFP: EACL 2024
by sungho.jeon＠h-its.org 05 Sep '23

05 Sep '23

- Event Notification Type: Call for Papers - Abbreviated Title: [CFP 2nd] EACL 2024 - Location: Hotel Radisson Blu, St. Julians Sunday, 17 March 2024 to Friday, 22 March 2024 - Country: Malta - Contact Email: michael.strube(a)h-its.org YGRAHAM(a)tcd.ie m.purver(a)qmul.ac.uk - Contact: Michael Strube Yvette Graham Matthew Purver - Website: https://2024.eacl.org/ - Submission Deadline: Sunday, 15 October 2023 ============================ * Second Call for Papers: EACL 2024 The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) invites the submission of long and short papers on substantial, original, and unpublished research on Natural Language Processing. EACL 2024 will be held at the Hotel Radisson Blu, St. Julians, in Malta on 17th-22nd March 2024, with online attendance possible. Papers must be submitted to EACL 2024 via the ACL Rolling Review (ARR) system. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. * Important Dates - Anonymity period begins: Friday, 15 September 2023 - Paper submission deadline (via ARR): Sunday, 15 October 2023 - Author response period: Friday-Tuesday, 8-12 December 2023 - Paper commitment deadline: Sunday, 20 December 2023 - Notification of acceptance: (long & short papers): Monday, 15 January 2024 - Withdrawal deadline (long & short papers): Monday, 22 January 2024 - Camera-ready papers due (long & short papers): Wednesday, 31 January 2024 - Workshops & Tutorials: Sunday; Thu-Fri, 17 & 21-22 March 2024 - Main Conference: Monday-Wed, 18-20 March 2024 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). ============================ * Paper Submission Information * Topics of Interest EACL 2024 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Efficient/Low-resource methods in NLP - Ethics and NLP - Generation - Information Retrieval and Text Mining - Information Extraction - Interpretability and Model Analysis in NLP - Language Grounding to Vision, Robotics and Beyond - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilinguality and Language Diversity - NLP Applications - Phonology, Morphology, and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical - Semantics: Sentence-level Semantics, Textual Inference and other areas - Sentiment Analysis, Stylistic Analysis and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing * Long Papers Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. * Short Papers Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. * Findings of the ACL Papers submitted to EACL 2024, but not selected for the main conference, will also automatically be considered for publication in the Findings of the Association of Computational Linguistics. Acceptance notifications for the main track and Findings will come out simultaneously. * Presentation Mode Long and short papers will be presented orally or as posters, as determined by the programme committee based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and as posters. Papers accepted to the Findings of the ACL may present a poster. * Presentation Requirements All accepted papers must be presented at the conference—either online or in-person—in order to appear in the proceedings. Authors of papers accepted for presentation at EACL 2024 must notify the program chairs by the withdrawal deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for EACL 2024 by the early registration deadline. * Paper Submission and Anonymity Following standard ACL and ARR policy, submitted papers must be prepared for two-way anonymized review, and no deanonymized preprint may be posted in the month prior to submission. Please see the ARR CfP for more detail. https://aclrollingreview.org/cfp * Policies on Authorship, Citation and Ethics EACL 2024 follows the ARR policies on authorship, citation and comparison and ethics - please see the ARR CfP. * Multiple Submission Policy EACL 2024 follows the ARR policy on multiple submission: we will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the review period. See the ARR CfP for more detail. Please note that the EACL 2024 submission deadline is currently timed to come after EMNLP 2023 decisions have been announced, and that EACL 2024 acceptance decisions will be announced before the likely submission deadline for ACL 2024, although after that for NAACL 2024. * Mandatory Discussion of Limitations We believe that it is also important to discuss the limitations of your work, in addition to its strengths. Following EACL 2023, EACL 2024 requires all papers to have a clear discussion of limitations, in a dedicated section titled “Limitations”. This section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Papers without a limitations section will be automatically rejected without review. Papers resubmitted from previous ARR review rounds that did not include a limitations section must ensure that such a section is included in the EACL 2024 version. While we are open to different types of limitations, just mentioning that a set of results have been shown for English only probably does not reflect what we expect. Mentioning that the method works mostly for languages with limited morphology, like English, is a much better alternative. In addition, limitations such as low scalability to long text, the requirement of large GPU resources, or other things that inspire further investigation are welcome.

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Google DeepMind PhD Scholarship
by Mirella Lapata 05 Sep '23

05 Sep '23

The School of Informatics, University of Edinburgh, is thrilled to announce a PhD scholarship funded by Google DeepMind. The scholarship covers tuition fees (at the Home/International tuition fee rate), provides an annual stipend of £18,622 per annum (for 3.5 years full time study) and provides a research training and support grant. The student will be supervised by Dr. Mirella Lapata and will also benefit from mentoring from DeepMind staff during their period of study.  Applicants would be expected to work on a topic drawn from the following research areas: - multimodal natural language understanding and generation - long-form and retrieval-augmented text generation - multilingual generation Applicants wishing to apply for the scholarship should meet one OR both of the following criteria: - are resident of a country and/or region underrepresented in AI; - identify as women including cis and trans people and non-binary or gender fluid people who identify in a significant way as women or female; - and/or identify as Black or other minority ethnicity. The successful candidate will have a good honours degree or equivalent in artificial intelligence, computer science, machine learning, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. They will have strong programming skills and previous experience in natural language processing. If you have further questions, please contact Dr. Mirella Lapata: mlap(a)inf.ed.ac.uk. To apply, please follow the instructions at: http://www.inf.ed.ac.uk/postgraduate/apply.html As your research area, please select "Informatics: ILCC: Language Processing, Speech Technology, Information Retrieval, Cognition". On the application form under "Research Project", please state "DeepMind Scholarship". IMPORTANT: After submitting your application through the website, please email your applicant number to mlap(a)inf.ed.ac.uk. Application deadline: 24 November 2023 received after the deadline may be considered, but this cannot be guaranteed].

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CFP North Africans in Machine Learning Affinity Workshop at NeurIPS 2023
by saad benjelloun 05 Sep '23

05 Sep '23

Call for Papers: North Africans in Machine Learning Affinity Workshop at NeurIPS 2023! We are thrilled to announce the Call for Papers for the North Africans in Machine Learning Affinity Workshop, which will be held at NeurIPS 2023. This is your chance to share your groundbreaking research, insights, and discoveries with a vibrant community of peers in the field of Machine Learning. Whether you're a junior researcher or a seasoned expert, and of North African origins. if you have a passion for advancing the theory and applications of ML, we want to hear from you! Why submit your paper? - Showcase your work on a prestigious stage. - Gain valuable feedback from experts in the ML community. - Connect with like-minded professionals from North African institutions and beyond. - Contribute to the collective knowledge of the ML field. 📜 Submission Guidelines: - Papers related to all aspects of Machine Learning are welcome. - Submissions from North Africans are encouraged. - The workshop is open to academia and industry professionals. 🔗 Submission Link and Deadlines: https://lnkd.in/eSKVv2H5 🏆 Awards and Recognition: Outstanding contributions will be recognized, and selected papers may have the opportunity to be featured prominently during the workshop. Join us in making the North Africans in Machine Learning Affinity Workshop at NeurIPS 2023 a resounding success! Submit your paper, share your insights, and be part of this exciting journey in advancing the field of Machine Learning. Stay tuned for more updates and mark your calendars for NeurIPS 2023! Let's shape the future of ML together.

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CFP SYMPTEMIST (BioCreative VIII @ AMIA 2023): Named entity recognition & linking of symptoms (incl. multilingual dataset)
by Martin Krallinger 05 Sep '23

05 Sep '23

(Apologies for cross-posting) CFP: SYMPTEMIST Shared Task (BioCreative VIII run with AMIA 2023) Named entity recognition and linking of symptoms, signs & findings (incl. multilingual dataset) https://temu.bsc.es/SYMPTEMIST/ <https://temu.bsc.es/distemist/> The SYMPTEMIST track focuses on the automatic detection of mentions of clinical symptoms (NER) and mapping to concept identifiers in clinical case reports in Spanish (entity linking). Also a multilingual version of the dataset will be released including versions in English, French, Italian, Dutch, Portuguese, Romanian and Swedish. Key information: - Web: https://temu.bsc.es/symptemist - Data: <https://doi.org/10.5281/zenodo.6408476> https://zenodo.org/record/8223654 - Annotation guidelines: https://zenodo.org/record/8246440 - BioCreative web: https://biocreative.bioinformatics.udel.edu - Registration form (Track 2- SYMPTEMIST): <https://temu.bsc.es/distemist/registration/> https://docs.google.com/forms/d/e/1FAIpQLScoSNulOoxRju3c8v9Q-CSv-w5jJcXu93G… Motivation Systems able to detect and normalize clinical symptom mentions from medical texts are crucial for almost any healthcare data mining, AI, medical analytics or predictive application. As opposed to other clinical information types, such as diagnoses (diseases/procedures), lab test results or even medications, clinical symptoms can only be recovered directly from written clinical narratives. Due to the high complexity, variability and difficulty in generating annotated corpora for clinical symptoms, only few large manually annotated data collections have been constructed so far, with certain underlying limitations in terms of a) entity linking / normalization of the symptom mentions to controlled vocabularies and b) a lack of attempts to promote the development of multilingual solutions and b) provide detailed annotation criteria and guidelines. To address these issues, we have posed the SYMPTEMIST track at the upcoming BioCreative VIII initiative, which will be run in the context of the prestigious AMIA 2023 conference, which received over 1400 submissions this year. Automatic detection of symptoms mentions are key for a range of clinical use cases and real world applications like: - Predictive modeling of diseases - Differential diagnosis of complex diseases - Rare disease characterization & analysis - Selection of appropriate treatment & therapy - Study of disease-symptom associations - Early detection of disease outbreaks & epidemiological surveillance - Extraction of phenotypes - Drug repurposing & off label indications The SYMPTEMIST organizers will also release multilingual resources to foster the development of multilingual tools and generate systems not only for Spanish but also for content in English and Romance languages (French, Portuguese, Italian, Romanian and Catalan) as well as versions in Dutch, Swedish and Czech. Inspired by previous initiatives (e.g. n2c2, CLEF or TREC) and shared tasks (CANTEMIST, PharmaCoNER, or CodiEsp), we are launching the SYMPTEMIST shared task as part of the BioCreative 2023 evaluation initiative, with the following three sub-tracks: - SYMPTEMIST-entities: automatic detection of mentions of symptoms. - SYMPTEMIST-linking: finding mentions of symptoms and normalizing them to their Snomed-CT concept identifiers. - SYMPTEMIST-multilingual: automatic detection of mentions of symptoms in versions of the corpus generated in English, French, Italian, Portuguese, Romanian, Catalan, Dutch, Swedish and Czech. Tentative schedule - Annotation Guidelines: August 8th 2023 - Train Set Subtask 1 (NER): August 8th, 2023 - Train Set Subtask 2 (Linking): September 10th 2023 - Train Set Subtask 3 (Multilingual): September 10th 2023 - SympTEMIST Test Set: September 30th 2023 - Participants Test Predictions Deadline: October 5th 2023 - Participants Evaluation Results Release. October 10th 2023 - Submission of Participant Papers Deadline: October 22nd 2023 - Notification of Acceptance Participant Papers: October 30 2023 - Submission of Camera-ready Participant Papers Deadline. November 1st 2023 - BioCreative VIII workshop @ AMIA 2023: November 11-15, 2023, In New Orleans, LA. BioCreative proceedings and AMIA workshop Teams participating in SYMPTEMIST will be invited to contribute a systems description paper for the BioCreative 2023 Working Notes proceedings and a flash presentation of their approach at the BioCreative 2023 session. The BioCreative VIII workshop will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. See: https://amia.org/education-events/amia-2023-annual-symposium Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. All BioCreative VIII tracks Track 1: BioRED (Biomedical Relation Extraction Dataset) *Track 2: SYMPTEMIST (Symptom TExt Mining Shared Task) Track 3: Genetic Phenotype Extraction and Normalization from Dysmorphology Physical Examination Entries Track 4: Clinical Annotation Tool Track Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Jan Rodriguez, Barcelona Supercomputing Center, Spain ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ =======================================

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Professor (m/f/d) (W3) of Natural Language Processing at the University of Technology Nuremberg
by gregor.faltl＠utn.de 05 Sep '23

05 Sep '23

We are innovating university! Interdisciplinary, international and digital – these are the pillars of the University of Technology Nuremberg. The aim is to combine and interlink engineering science with other topics of society. Besides the outlined interdisciplinary approach, the university will put its emphasis on courses in English, on digital learning as well as future-oriented research. In the medium term, the university is to provide a place for learning and personal development for up to 6,000 students – on a campus combining research, learning, and living. The project is currently one of the most important higher education projects of the Free State of Bavaria (Germany). The University of Technology Nuremberg is looking to fill, at the earliest possible date, a position as a Professor (m/f/d) (W3) of Natural Language Processing at the Department of Engineering. You represent the subject Natural Language Processing in research and teaching. You will play a key role in establishing the first main research area of the Department, which will focus on "Robotics and Artificial Intelligence". Here you will collaborate, among others, with excellent international researchers from the fields of Robotics, Machine Learning, Data Science and Computer Vision. The interdisciplinary collaboration with humanities scholars and social and natural scientists at the Department of Liberal Arts and Sciences, within the topics of “Human and Artificial Intelligence” and “Rhetoric and Political Communication” is a further goal. To find the complete advertisement follow this link: https://www.utn.de/en/career/professorships/

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CoCo4MT 2023 @ MT Summit Deadline Extended to July 16th!
by John Ortega 04 Sep '23

04 Sep '23

CoCo4MT is extended its deadline for paper submission to July 16th! The Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) @MT-SUMMIT XIX The 19th Machine Translation Summit Sep 4-8, 2023, Macau SAR, China https://sites.google.com/view/coco4mt SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT is a workshop centered around research that focuses on manual and automatic corpus creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any language (including sign language) but we are specifically interested in those submissions that explicitly report on work with languages with limited existing resources (low-resource languages). Since techniques from high-resource languages are generally statistical in nature and could be used as generic solutions for any language, we welcome submissions on high-resource languages also. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that the methods presented at this workshop will lead to the development of high-quality corpora that will in turn lead to high-performing MT systems and new dataset creation for multiple corpora. We hope that submissions will provide high-quality corpora that are available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. Topics of interest include: - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SHARED TASK To encourage research on corpus construction for low-resource machine translation, we introduce a shared task focused on identifying high-quality instances that should be translated into a target low-resource language. Participants are provided access to multi-way corpora in the high-resource languages of English, Spanish, German, Korean, and Indonesian, and using these, are required to identify beneficial instances, that when translated into the low-resource languages of Cebuano, Gujarati, and Burmese, lead to high-performing MT systems. More details on data, evaluation and submission can be found on the website (https://sites.google.com/view/coco4mt/shared-task) or by emailing coco4mt-shared-task(a)googlegroups.com. SUBMISSION INFORMATION CoCo4MT will accept research, review, or position papers. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official MT Summit 2023 style templates (https://www.overleaf.com/latex/templates/mt-summit-2023-template/knrrcnxhkq…). Accepted papers will be published in the MT Summit 2023 proceedings which are included in the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be made to the workshop using the Softconf conference management system (https://softconf.com/mtsummit2023/CoCo4MT). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES May 18, 2023 - Call for papers released May 19, 2023 - Shared task release of train, dev and test data May 25, 2023 - Shared task release of baselines June 5, 2023 - Second call for papers June 20, 2023 - Third and final call for papers July 16, 2023 - Paper submissions due July 16, 2023 - Shared task deadline to submit results July 27, 2023 - Notification of acceptance July 27, 2023 - Shared task system description papers due August 03, 2023 - Camera-ready due September 4-5, 2023 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizers: coco4mt-2023-organizers(a)googlegroups.com CoCo4MT Shared Task Organizers: coco4mt-shared-task(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Ananya Ganesh University of Colorado Boulder Constantine Lignos Brandeis University John E. Ortega Northeastern University Jonne Sälevä Brandeis University Katharina Kann University of Colorado Boulder Marine Carpuat University of Maryland Rodolfo Zevallos Universitat Pompeu Fabra Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Anna Currey Amazon Amirhossein Tebbifakhr University of Trento Atul Kr. Ojha National University of Ireland Galway Ayush Singh Northeastern University Barrow Haddow University of Edinburgh Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Constantine Lignos Brandeis University Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleftheria Briakou University of Maryland Eleni Metheniti Université Toulosse - Paul Sabatier Jasper Kyle Catapang University of Birmingham John E. Ortega Northeastern University Jonne Sälevä Brandeis University Kalika Bali Microsoft Katharina Kann University of Colorado Boulder Kochiro Watanabe The University of Tokyo Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Marine Carpuat University of Maryland Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Patrick Simianer Lilt Rico Sennrich University of Zurich Rodolfo Zevallos Universitat Pompeu Fabra Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Shiran Dudy Northeastern University Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xing Niu Amazon Xu Weijia University of Maryland

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Free training event: 22 September - Business and Professional Communication
by Brezina, Vaclav 04 Sep '23

04 Sep '23

Dear all, We are organising a free training event (online and in person): Language Data Analysis for Business and Professional Communication. It will take place on 22 September 2023 10:00 - 15:30 UK time. More details and registration: https://www.lancaster.ac.uk/events/language-data-analysis-for-business-and-… The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers a practical training workshop focused on computational analysis of language data for businesses and professional organisations and anyone interested in communication in professional contexts. The data includes social media, newspapers, business reports, marketing materials and other data sources. The workshop will introduce a new software tool #LancsBox X<https://lancsbox.lancs.ac.uk/> developed at Lancaster University, which can analyse and visualise large amounts of language data (millions and billions of words). Practical examples of uses of #LancsBox X (case studies) will be provided. Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D9DF47.CD8CA940]@vaclavbrezina [cid:image002.png@01D9DF47.CD8CA940]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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CfP: ACM Web Science Conference @ Stuttgart, Papers due Nov 30
by Agnieszka Falenska 04 Sep '23

04 Sep '23

Dear all, Please find below the call for papers for next year’s Web Science Conference. Best regards, Agnieszka Faleńska *Call for Papers <https://websci24.org/call-for-papers/>* ACM WebSci’24 ● 16th ACM Web Science Conference May 21 – May 24, 2024 ● Stuttgart, Germany *Reflecting on the Web, AI, and Society* *https://websci24.webscience.org/* <https://websci24.webscience.org/> *Important Dates* - *Thu, November 30, 2023: Paper submission deadline* - *Wed, January 31, 2024: Notification* - *Thu, February 29, 2024: Camera-ready versions due* - *Tue-Fri, May 21 – May 24, 2024: Conference dates* *All dates are 23:59 **Anywhere on earth time* <https://time.is/Anywhere_on_Earth> *About the Web Science Conference* Web Science is an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society and vice versa. The discipline is well situated to address pressing issues of our time by incorporating various scientific approaches. We welcome quantitative, qualitative, and mixed methods research, including social sciences and computer science techniques. In addition, we are interested in work exploring Web-based data collection and research ethics. We also encourage studies that combine analyses of Web data and other types of data (e.g., from surveys or interviews) and help better understand user behavior online and offline. *Possible topics across methodological approaches and digital contexts include but are not limited to:* *Understanding the Web* - Automation and AI in all its manifestations relevant to the Web - Trends in globalization, fragmentation, and polarization of the Web - The architecture and philosophy of the Web - Critical analyses of the Web and Web technologies Making the Web Inclusive - Issues of discrimination and fairness - Intersectionality and design justice in questions of marginalization and inequality - Ethical challenges of technologies, data, algorithms, platforms, and people on the Web - Safeguarding and governance of the Web, including anonymity, security, and trust - Inclusion, literacy and the digital divide *The Web and Society* - Social machines, crowd computing and collective intelligence - Web economics, social entrepreneurship, and innovation - Legal issues, including rights and accountability for AI actors - Humanities, arts, and culture on the Web - Politics and social activism on the Web - Online education and remote learning - Health and well-being online - The role of the Web in the future of (augmented) work - The Web as a source of news and information, and misinformation *Doing Web Science* - Data curation, Web archives and stewardship in Web Science - Temporal and spatial dimensions of the Web as a repository of information - Analysis and modeling of human vs. automatic behavior (e.g., bots) - Analysis of online social and information networks - Detecting, preventing and predicting anomalies in Web data (e.g., fake content, spam) *2024 Emphasis: Reflecting on the Web, AI, and Society* In addition to the topics at the heart of Web Science, we also welcome submissions addressing the interplay between the Web, AI and society. New advances in AI are revolutionizing the way in which people use the Web and interact through it. As these technologies develop, it is crucial to examine their effect on society and the socio-technical environment in which we find ourselves. We are nearing the crossroads wherein content on the Web will increasingly be automatically generated, blended with that created by humans. This creates new potential yet brings new challenges and exacerbates existing ones in relation to data quality and misinformation. Additionally, we need to consider the role of the Web as a source of data for AI, including privacy and copyright concerns, as well as bias and representativity of resulting systems. The potential impact of new AI tools on the nature of work may bring a transformation of some careers while creating whole new ones. This year’s conference especially encourages contributions documenting different uses of AI in relation to how people use the Web, and in the ways the Web affects the creation and deployment of AI tools. *Format of the submissions*Please upload your submissions via EasyChair: https://easychair.org/conferences/?conf=acmwebsci24 *There are two submission formats.* - Full papers should be between 6 and 10 pages (including references, appendices, etc.). Full papers typically report on mature and completed projects. - Short papers should be up to 5 pages (including references, appendices, etc.). Short papers will primarily report on high-quality ongoing work not mature enough for a full-length publication. *All accepted submissions will be assigned an oral presentation (of two different lengths).* All papers should adopt the current ACM SIG Conference proceedings template (acmart.cls). Please submit papers as PDF files using the ACM template, either in Microsoft Word format (available at https://www.acm.org/publications/proceedings-templateunder “Word Authors”) or with the ACM LaTeX template on the Overleaf platform, which is available at https://www.overleaf.com/latex/templates/association-for-computing-machiner… . In particular; please ensure that you are using the two-column version of the appropriate template. All contributions will be judged by the Program Committee upon rigorous peer review standards for quality and fit for the conference by at least three referees. Additionally, each paper will be assigned to a Senior Program Committee member to ensure review quality. WebSci-2024 review is double-blind. Therefore, please anonymize your submission: do not put the author(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowledgments in papers submitted for review. References to authors’ own prior relevant work should be included but should not specify that this is the authors’ own work. It is up to the authors’ discretion how much to further modify the body of the paper to preserve anonymity. The requirement for anonymity does not extend outside of the review process, e.g., the authors can decide how widely to distribute their papers over the Internet. Even in cases where the author’s identity is known to a reviewer, the double-blind process will serve as a symbolic reminder of the importance of evaluating the submitted work on its own merits without regard to the authors’ reputation. For authors who wish to opt-out of publication proceedings, this option will be made available upon acceptance. This will encourage the participation of researchers from the social sciences that prefer to publish their work as journal articles. All authors of accepted papers (including those who opt out of proceedings) are expected to present their work at the conference. *ACM Policies <https://websci24.org/acm-policy-2/>* 1. “By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.acm.o…>, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.acm.o…>. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.” 2. “Please ensure that you and your co-authors obtain an ORCID ID <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Forcid.org…>, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fauthors.a…>. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.” *Program Committee Chairs:* *Oshani Seneviratne (Rensselaer Polytechnic Institute)* *Luca Maria Aiello (IT University of Copenhagen)* *Yelena Mejova (ISI Foundation)* For any questions and queries regarding the paper submission, please contact the chairs at acmwebsci24(a)easychair.org.

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Monthly online ILFC Seminar: interactions between formal and computational linguistics
by Timothée Bernard 04 Sep '23

04 Sep '23

Monthly online ILFC Seminar: interactions between formal and computational linguistics https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/ GdR LIFT is happy to announce the four forthcoming sessions of the ILFC seminar on the interactions between formal and computational linguistics: - 2023/09/13 17:00-18:00 UTC+2: *Anna Ivanova* (Massachusetts Institute of Technology; 11:00-12:00 UTC-4) Title: *Dissociating formal and functional linguistic competence in large language models* Abstract: *Today’s large language models (LLMs) routinely generate coherent, grammatical and seemingly meaningful paragraphs of text. This achievement has led to speculation that LLMs have become “thinking machines”, capable of performing tasks that require reasoning and/or world knowledge. In this talk, I will introduce a distinction between formal competence—knowledge of linguistic rules and patterns—and functional competence—understanding and using language in the world. This distinction is grounded in human neuroscience, which shows that formal and functional competence recruit different cognitive mechanisms. I will show that the word-in-context prediction objective has allowed LLMs to essentially master formal linguistic competence; however, LLMs still lag behind at many aspects of functional linguistic competence, and improvements in this domain often depend on specialized fine-tuning or coupling with an external module. In the last part of the talk, I will present a case study highlighting the difficulties of disentangling formal and functional competence when it comes to evaluating world knowledge, and show that similar difficulties are present in neuroscience research. I will conclude by discussing the value of the formal/functional competence framework for evaluating and building flexible, humanlike models of language use.* - 2023/10/18 17:00-18:00 UTC+2: *Alexander Koller* (Saarland University) Title: [TBA] Abstract: [TBA] - 2023/11/15 17:00-18:00 UTC+1: *Raquel Fernández* (University of Amsterdam) Title: [TBA] Abstract: [TBA] - 2023/12/13 17:00-18:00 UTC+1: *Richard Futrell* (UC Irvine; 8:00-9:00 UTC-8) Title: [TBA] Abstract: [TBA] The seminar is held on Zoom. To attend the seminar and get updates, please subscribe to our mailing list (we now only rarely communicate through other mailing lists): https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc

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Wissenschaftliche*r Mitarbeiter*in (w/m/d), Universität Paderborn
by habernal＠mail.uni-paderborn.de 04 Sep '23

04 Sep '23

(apologies, German version only as this position requires German language skills) In der Fakultät für Elektrotechnik, Informatik und Mathematik - Institut für Informatik / Fachgebiet Natural Language Processing - ist zum nächstmöglichen Zeitpunkt eine Stelle als wissenschaftliche*r Mitarbeiter*in (w/m/d) (Entgeltgruppe 13 TV-L) im Umfang von 100% der regelmäßigen Arbeitszeit zu besetzen. Es handelt sich um eine Qualifizierungsstelle im Sinne des Wissenschaftszeitvertragsgesetzes (WissZeitVG), die zur Förderung eines Promotionsverfahrens im Bereich Natural Language Processing dient. Die Stelle ist befristet für die Dauer des Promotionsverfahrens, abhängig von der bisher erreichten Qualifizierung, jedoch für einen Zeitraum von i.d.R. 3 Jahren, zu besetzen. Eine Verlängerung zum Abschluss der Promotion ist innerhalb der Befristungsgrenzen des WissZeitVG ggf. möglich. Aufgabengebiet: * Eigenverantwortliche Forschung in den Bereichen "Privacy in Natural Language Processing" oder "Legal Natural Language Processing" * Lehrverpflichtung im Umfang von i.d.R. 4 SWS * Beteiligung an der Selbstverwaltung Einstellungsvoraussetzungen: * Wissenschaftlicher Hochschulabschluss (Master in Computer Science oder einer verwandten Disziplin) * Solide Kenntnisse im Bereich des maschinellen Lernens und der Verarbeitung natürlicher Sprache * Starkes Interesse am Thema “Privacy in Natural Language Processing” oder "Legal Natural Language Processing * Ausgezeichnete analytische und programmiertechnische Fähigkeiten * Teamfähigkeit * Fließende Sprachkenntnisse in Englisch und Deutsch Bewerbungen von Frauen sind ausdrücklich erwünscht und werden gem. LGG bei gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt berücksichtigt, sofern nicht in der Person eines Mitbewerbers liegende Gründe überwiegen. Teilzeitbeschäftigung ist grundsätzlich möglich. Ebenso ist die Bewerbung geeigneter Schwerbehinderter und Gleichgestellter im Sinne des Sozialgesetzbuches Neuntes Buch (SGB IX) erwünscht. Bewerbungen mit den üblichen Unterlagen werden als PDF-Dokument per E-Mail unter Angabe der Kennziffer 6082 "PhD-NLP" bis zum 24.09.2023 erbeten an: habernal(a)mail.uni-paderborn.de. Als Ansprechpartner steht Prof. Habernal unter der oben genannten E-Mail-Adresse zur Verfügung. Informationen zur Verarbeitung Ihrer personenbezogenen Daten finden Sie unter: https://www.uni-paderborn.de/zv/personaldatenschutz.

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2nd CFP: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023)
by El-Haj, Mo 04 Sep '23

04 Sep '23

2nd Call for Abstracts: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023) Free registration is now open https://bit.ly/3pwUwlG - a few tickets are still available. Please join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University. We welcome researchers and practitioners to submit presentation abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages. The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop. Important Dates: - Due date for workshop abstract submission: August 1, 2023 (extended) - Notification of abstract acceptance to authors: August 10, 2023 - Workshop date: September 5, 2023 (online event<https://bit.ly/3pwUwlG>) Keynote speakers: - Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan. - Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco. - Professor Hend Al-Khalifa - College of Computer and Information Sciences at King Saud University, KSA - Dr Abdel-Karim Al Tamimi- Computer Science and Software Engineering at Sheffield Hallam University, UK - Dr Mo El-Haj - School of Computing and Communications at Lancaster University, UK For list of speakers, talks' titles and abstract please visit the workshop's website: https://wp.lancs.ac.uk/acc/rlrl2023/ The main objectives of the workshop are three-fold: 1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy. 2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges. 3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages. Abstract submission: Abstract submission page is now open, please submit abstracts of no more than 500 words https://easychair.org/conferences/?conf=rlrl2023 Alternatively, you can contact the organisers directly with presentation ideas on topics related to readability or low resourced languages. Topics of interest include, but are not limited to: - Machine learning for text readability - Applications of readability assessment - Readability in low-resource languages - Comprehensibility measures - Mathematical representations of readability levels - Text simplification for low-resource languages - Readability and comprehensibility in language learning - The effects of text simplification on readability - Readability frameworks for indigenous languages - Updating readability representations We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023. RLRL 2023 Organisers: - Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University) - Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University) - Prof. Hend Al Khalifa (iWAN, King Saud University) https://wp.lancs.ac.uk/acc/rlrl2023/ Best wishes, Mahmoud --------------------- Dr Mo El-Haj Senior Lecturer in NLP Co-Director of UCREL NLP Group Strategic Lead of Arabic and Financial NLP Research Advisory Board of the Natural Language Processing Journal https://benjamins.com/catalog/nlp School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj @DocElhaj<https://twitter.com/DocElhaj>

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): First Call for Workshop Proposals
by Announce 02 Sep '23

02 Sep '23

*** First Call for Workshop Proposals *** 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: October 13, 2023 AoE ***) CAiSE is a well-established, highly visible conference series on Advanced Information Systems (IS) Engineering. It covers all relevant topics in the area, including methodologies and approaches for IS engineering, innovative platforms, architectures and technologies, and engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting workshops in related fields. Workshops are intended to focus on particular topics and provide ample room for discussions of new ideas and developments. CAiSE 2024, the 36th edition of the CAiSE series, invites proposals for workshops to be held in conjunction with the main conference, related to the CAiSE topics, covering new emerging topics and targeting innovative papers in special focus areas. Prospective workshop organisers should specify whether they plan an event with a presentation-oriented track, a discussion-oriented track, or both. Presentation-oriented track This track focuses on accepted papers with presentations followed by Q&A sessions, akin to conferences. The proceedings of these workshops are intended to be published in a joint volume in the Springer LNBIP series. Submissions must  conform to the Springer LNCS/LNBIP format and should  not exceed 12 pages. According to the Springer standards, the overall acceptance rate cannot exceed 45%-50%. Discussion-oriented track This track emphasizes discussions facilitated by paper presentations revolving around novel ideas and early-stage research. Since the main criterion for paper acceptance in such workshops is relevance and potential for raising discussion, they are not expected to have their proceedings in the Springer LNBIP volume. The edition of a joint proceedings volume next to the LNBIP one for the discussion-oriented track is underway. Proceedings shall be submitted to CEUR-WS.org for online publication. Details on this aspect will be provided separately. Proposal submission Workshop proposals should be submitted via EasyChair at the following address:  https://easychair.org/conferences/?conf=caise2024  Please select the Author role and the CAiSE 2024 Workshops track. Prior contact with the workshop chairs (caise2024-workshops(a)easychair.org) is encouraged. The organizer(s) of approved workshops will be responsible for advertising their workshop, eliciting high-quality submissions, organizing the reviewing process of their workshop’s papers according to the principles and guidelines of CAiSE, and collecting camera-ready copies of accepted papers (verifying that they comply with the formatting rules). Organizers (including co-organizers) are expected to attend their entire workshop. Detailed instructions for workshop proposers The proposal (up to 1000 words) should cover the following points: • Workshop title, duration (1 day or 2 days), preferred date (3-4 June 2024) • Workshop type (presentation-oriented or discussion-oriented, or both). • Information on the organizers (PC chairs, other organizers who will be present at the workshop or are otherwise involved, including the person responsible for web presence and communication). Please include names, addresses, and affiliations, indicating the main responsible person. The submission should include a one-paragraph biographical sketch for each organizer, describing relevant qualifications and experience. Please specify at least one PC chair. PC chairs will not be allowed to submit papers to the workshop, but other organizers (who will have no oversight over the review process) are encouraged to do so. • Purpose: What are the main goals of the workshop? Please list the workshop topics. How does the focus of the workshop differ from the main conference? How does the focus of the workshop differ from other potential CAiSE events? (Proponents are advised to look at the workshops and working conferences held at CAiSE 2022 and CAiSE 2023 and differentiate your scope from theirs.) • Organization of the workshop: Specify the type of contributions, distribution into sessions, type of sessions, etc. Mention if you plan to have any keynote speaker (please note that the conference organization will not cover fees, travel expenses, accommodation and registration costs of keynote speakers). Include any special requirements regarding infrastructure and room layout. • Tentative list of PC members. • An estimate of the number of papers to be accepted, and the number of attendees. If applicable, short information on previous editions of the workshop series (this should include submission, acceptance, and attendance information). Short information on your plans for advertising your workshop and making it highly visible. Services provided by CAiSE • EasyChair installation for the management of the workshop submissions (each organizer will be made chair of their own workshop). • Publication of papers in an LNBIP volume for presentation-oriented tracks, and in a CEUR-WS.org online volume for discussion-oriented tracks. • One free workshop-only registration if more than 10 people are registered for the workshop. Organizers willing to attend the whole event (main conference) will have to register for the conference at their own expense. • Local organizational infrastructure and administrative support (registration, badges, refreshments, beamers, screens, etc.). In particular, all venue issues (rooms, meals and catering, social dinner, etc.) as well as the management of the registrations and the financing/administrative issues will be handled by the CAiSE Organization Board and are not under the responsibility of the workshop organizers. • Advertisement of the workshop on the CAiSE 2024 homepage and mailings. Please note that the workshop may be canceled if the number of registrations is less than 10. Also, in the case of workshops with topics that are similar, two or more workshops may be suggested to merge together. Key Dates • Submission of workshops proposals (via Easychair): October 13th, 2023 • Workshop notifications: November 3rd, 2023 • Workshop paper submission (tentative, recommended for presentation-oriented tracks): March 6th, 2024 • Workshop paper decision (recommended for presentation-oriented tracks): April 3rd, 2024 • Camera-ready due (recommended for presentation-oriented tracks): April 22nd, 2024 • Workshops: June 3rd-4th, 2024 Contact For more information and inquiries, please feel free and welcome to contact the Workshop Chairs at the following address: caise2024-workshops(a)easychair.org

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31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS23)
by muskaan singh 01 Sep '23

01 Sep '23

**** Call for Papers **** *31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS23)* December 7th – 8th 2023 - Atlantic Technological University, Letterkenny, Co. Donegal Conference Website: https://www.aics.ie/ Submission Deadline: 24th September 2023 The 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2023) will be hosted by Atlantic Technological University (ATU) in collaboration with Ulster University. The conference will be held in-person at the Letterkenny campus of ATU Donegal. We are also honoured that IEEE UK and Ireland Computational Intelligence Chapter will provide technical sponsorship of the conference. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum bringing together researchers in the fields of Artificial Intelligence and Cognitive Science. The fields of Artificial Intelligence and Cognitive Science, encompassing areas such as Data Analytics, Natural Language Processing, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry. The AICS 2023 program will include presentations of high-quality theoretical and applied scientific papers and tutorials. Invited talks will describe important topics relevant to the field. *Topics of Interest* We invite submissions in the broad areas of Artificial Intelligence and Cognitive Science to communicate the advances and achievements in these fields. Areas of interest include, but are not restricted to: - Machine Learning - Natural Language Processing - Computer Vision - Automated Reasoning - Robotics - Deep Learning - Ethics of AI - Cognitive Psychology - Explainability / Interpretability - Cyberpsychology - Intelligent Systems - Opinion Mining - Recommender Systems - Machine Translation For a full list of areas associated with this conference please visit the conference website at: https://www.aics.ie/ *Submission* Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. We invite two types of submissions: - Full Paper Track: Full paper submissions should consist of original contributions (describing either fundamental research, interesting applications, in-use experiences, or reviews of the field) not published in other forums. Papers should be no more than 6-8 pages (including references) and these will be oral presentations at conferences. Papers over 6 pages will be charged €90 per extra page up to a maximum of two extra pages (8 pages maximum). - Short Paper Track: This track is designed to facilitate students who have recently completed a Master’s program or for PhD students. Short paper submissions should consist of original contributions (describing interesting applications or theoretical research) and the first author must be a student. Papers should be a maximum of 4 pages (including references) and these will be poster presentations at conferences. The paper submission system used is EasyChair and the submission link is: https://easychair.org/conferences/?conf=aics231 All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to AICS23, originality, significance and clarity. For full submission instructions please visit: https://www.aics.ie/submission.html *Organisation* *Conference Chairs* Dr Kevin Meehan (Atlantic Technological University) - General Chair Dr Muskaan Singh (Ulster University) - Co-chair Dr Karla Muñoz Esquivel (Atlantic Technological University) - Co-chair Dr Fatemeh Golpayegani, (University College Dublin) - Co-chair *Organising Committee* Dr Jennifer Hyndman (Atlantic Technological University) Professor Michaela Black (Ulster University) Dr Gerry McWilliams (Atlantic Technological University) Dr Bryan Gardiner (Ulster University) Professor Hujun Yin (University of Manchester) Thank you on behalf of the chairs and organising committee.

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Postdoctoral position in LLM Alignment at Uni Würzburg
by Goran Glavaš 01 Sep '23

01 Sep '23

The Natural Language Processing Chair at JMU Würzburg (WüNLP) <https://www.informatik.uni-wuerzburg.de/nlp/wuenlp/> as a member of the Center for AI and Data Science (CAIDAS) <https://www.uni-wuerzburg.de/caidas/> offers one research position in the area of natural language processing (NLP). The position is bound to the project EQUIFAIR (Equitably Fair and Trustworthy Language Technology), funded by the Alcatel-Lucent Stiftung as part of the “Responsible AI” program. The project targets two major issues related to *alignment of large language models* (LLMs): hallucinations and societal biases, to be addressed in a (massively) multilingual context (i.e., across a wide variety of natural languages) and in an explainable/interpretable manner. The applicants should have a doctoral degree in Computer Science, Mathematics, or a related discipline. Substantial experience in modern NLP (i.e., LLM-based) research is expected, as well as prior publications at top-tier NLP/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML), demonstrating ability to conduct research at the highest level. Prior experience in any of the subareas relevant to the project, namely fair and trustworthy NLP (hallucinations, biases), multilinguality, and/or explainable/interpretable AI, is a plus. The position is available for *two years*; the project will start as soon as the suitable candidate for this position is found. The remuneration will be at the level *E14* of the German federal wage agreement scheme (TV-L). Please send your application with standard documents (letter of motivation, curriculum vitae, academic records, optionally letter(s) or recommendation; please concatenate all documents into a single PDF) at your earliest convenience, but no later than *30.09.2023* to Prof. Dr. Goran Glavaš ( goran.glavas(a)uni-wuerzburg.de). Potential candidates are welcome to also informally contact Prof. Glavaš for additional information. We take diversity seriously and *especially encourage female and diversity* *candidates to apply*. WüNLP is one of the leading German NLP research labs. We are a young and energetic research group, part of CAIDAS, the ambitious AI research center of the University of Würzburg. Würzburg is one of the most livable cities in Germany. More information: https://www.informatik.uni-wuerzburg.de/nlp/news/single/news/open-position-…

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Deadline extension: CRAC 2023: Workshop on Reference, Anaphora and Coreference at EMNLP 2023
by Maciej Ogrodniczuk 01 Sep '23

01 Sep '23

(apologies for cross-posting) Submission deadline for <https://sites.google.com/view/crac2023/> CRAC 2023, the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference, held at EMNLP 2023 <https://2023.emnlp.org/> , was extended to September 15, 2023. The website has all information but here are a few highlights: ● we welcome papers on any aspect of coreference, anaphora or bridging, whether it’s annotation, analysis or resolution, intra- or cross-document ● we have various categories of papers (research papers, survey papers, position papers and more) ● we were running a new edition the shared task on Multilingual Coreference Resolution <https://ufal.mff.cuni.cz/corefud/crac23> using a harmonized CorefUD dataset <https://ufal.mff.cuni.cz/corefud> , extended this year; the task is already over <https://codalab.lisn.upsaclay.fr/competitions/11800#results> but the resource is there, ready to be played with Please spread the news to everyone who might be still interested. Best regards, Maciej Ogrodniczuk (also on behalf of Vincent Ng, Sameer Pradhan, and Massimo Poesio)

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[SUBMISSION DEADLINE EXTENDED] (ArabicNLP 2023): The 1st Arabic Natural Language Processing Conference
by amr.keleg.p＠gmail.com 01 Sep '23

01 Sep '23

*** Apologies for Cross-Posting *** The ArabicNLP 2023’s organization committee is pleased to announce the extension of the paper submission deadline by 1 week, for it to be on Tuesday the 12th of September 2023, 23:59 AOE. The First Arabic Natural Language Processing Conference (ArabicNLP 2023) is co-located with EMNLP 2023 in Singapore. Conference URL: https://arabicnlp2023.sigarab.org/ Submission URL: https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2023/Conference ArabicNLP 2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing. ArabicNLP 2023 builds on seven previous workshop editions, which have been extremely successful, drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. ArabicNLP 2023 will also feature shared tasks, allowing participants to work on specific NLP challenges related to Arabic language processing. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB), an Association for Computational Linguistics Special Interest Group on Arabic Natural Language Processing. Important Dates: * (Extended) September 12, 2023: conference papers due date * October 12, 2023: notification of acceptance * October 20, 2023: camera-ready papers due * December 7, 2023: conference day All deadlines are 11:59 pm UTC -12h (“Anywhere on Earth”). We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee. Submissions are invited on topics that include, but are not limited to, the following: Enabling core technologies: language models and large language models, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, please contact us at: arabicnlp-pc-chairs(a)sigarab.org What's in a name? To mark our move from a workshop to a conference, we changed our acronym from WANLP to ArabicNLP. The ArabicNLP 2023 Publicity Chairs, Amr Keleg and Salam Khalifa

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** Deadline extended ** ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing
by Mourad Abbas 01 Sep '23

01 Sep '23

*The NEW submission DEADLINE is: 09 September 2023* 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/2023welcome> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. *KEYNOTE SPEAKERS* Alex Waibel, Carnegie Mellon University, USA Najim Dehak, Johns Hopkins University, USA For more details, visit the conference website: https://www.icnlsp .org/2023welcome *CONTACT* icnlsp(at)gmail(dot)com Best regards, Mourad Abbas

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The US Copyright Office wants to hear what people think about AI and copyright
by heather froehlich 31 Aug '23

31 Aug '23

All (with apologies for cross-posting) The U.S. Copyright Office is conducting a study regarding the copyright issues raised by generative artificial intelligence (AI). This study will collect factual information and policy views relevant to copyright law and policy. The Office will use this information to analyze the current state of the law, identify unresolved issues, and evaluate potential areas for congressional action. Please go here to submit your comments: https://www.copyright.gov/policy/artificial-intelligence/?fbclid=IwAR33KxMI… There will be 2 rounds of opportunities to comment: Initial written comments are due by 11:59 p.m. Eastern time on October 18, 2023. Reply comments are due by 11:59 p.m. eastern time on November 15, 2023. Here is a quick and accessible write-up by The Verge as to why this is relevant/important: https://www.theverge.com/2023/8/29/23851126/us-copyright-office-ai-public-c… <https://www.theverge.com/2023/8/29/23851126/us-copyright-office-ai-public-c…> Please feel welcome to share this with your networks, as my friend who works for the copyright office says they want as much feedback as they can get. I do not think you have to be a US citizen to participate. Very best wishes Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Re: RANLP 2023 Call for Participation
by Sina Ahmadi 31 Aug '23

31 Aug '23

I second Edyta's points too. I have been on this list since 2015 and since then, the mailing list's standout feature has lied in its informative capacity to circulate calls for papers and job opportunities. While occasional "discussions" have also been a breath of fresh air, the current discourse doesn't quite align with this sentiment. It would be more beneficial if the list could enhance its utility by containing intense discussions privately rather than disseminating them widely. Thanks. Best regards, Sina Ahmadi Postdoctoral Researcher & Adjunct Lecturer Geroge Mason University http://sinaahmadi.github.io/ **On the job market! I'm seeking out new opportunities to collaborate and innovate as a researcher and lecturer (in Europe).** ________________________________ De : Daniela Cesiri via Corpora <corpora(a)list.elra.info> Envoyé : mercredi 30 août 2023 11:32 À : Edyta Jurkiewicz-Rohrbacher <edytaj(a)gmail.com> Cc : corpora(a)list.elra.info <corpora(a)list.elra.info> Objet : [Corpora-List] Re: RANLP 2023 Call for Participation Dear All, I agree with Edyta's polite remarks. I find the discussions below purely informative posts quite confusing, and I am "losing track" of the original posts to the point that I fear I might miss calls that could be relevant for my work, or miss discussions that are worth joining. Before Edyta's remarks I was even considering leaving the list because of the current situation in the list. So, I join Edyta's kind request to keep discussions as separate threads and leave call for papers/abstracts or job calls as purely informative posts. Perhaps opening a new, separate discussion thread might be an alternative option that would allow us to filter the different kinds of communications we received from the list. Best wishes to everyone, Daniela Cesiri Il Mer 30 Ago 2023, 17:15 Edyta Jurkiewicz-Rohrbacher via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> ha scritto: Dear Ada, dear all, I'm a bit concerned with what has been going with the list recently. The list, as far as I understand, serves several purposes. One of them is purely informative, where one informs the community about potentially interesting jobs, conferences etc. If I open an answer to a job advertisment, I expect it will be a question useful for the potential applicants or correction about, for example, deadlines. Another thing is to ask questions or start some discussions on various topics, either theoretical or purely practical. There I will expect people sharing their experience and opinions. What I do not find ok, is giving the feedback to purely informational posts in the way Ada does. In my opinion the discussions whether words or sentences are up-to-date concepts in any (general)linguistic or computational linguistic framework should be led in separate threads. (Notice also that the problem of text segmentation has been topic for already long time.) Summing up, I wouldn't mind if Adas comments were presented maybe privately to the authors of posts, or discussed in separate list-mails. Otherwise, we are facing chaos here. Summing up, I would be more than happy to participate, if discussions about the relation between linguistics and NLP took place, but not mixed with advertisments. I hope I did not offend anybody with this message. Best, Edyta Jurkiewicz-Rohrbacher śr., 30 sie 2023 o 16:35 Gilles Sérasset via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> napisał(a): > > Dear Ada, dear all, > > I am not a linguist but a computational scientist which is quite used to talk with (and tries to understand) linguists. I must say that I usually read your mails as thoroughly as my schedule and patience allows me to, but, to be honest, I also have a rather negative feeling when reading your “discourse”. > > In this discourse, I see facts + interpretation + rhetorics. > > [Here I take the risk of caricaturing for the sake of shortness, I hope you will understand that I have no time nor intention to really go deeply in all the intricacies of your different claims as I am more a witness than an actor of this scientific dispute] > > My understanding of your facts: Neural models do not use the concept of word in any of their tasks, but achieve very interesting results in their modelling of the language. > > My understanding of your interpretation: this is the proof that there is no such thing as a word. > > My understanding of your rhetoric: linguists are still using “words”, so they are wrong or dishonest or miseducated or dumb, we should wipe out entirely any occurence of this concept and start over with another modelling of the language. > > Please, understand that I am just presenting the way I am interpreting your different messages. And even if I am wrong here, this interpretation is to be taken into account as we are all persons with feeling. This feeling is a fact, even if I do not particularly feel targeted by your different criticisms. I hope this will help you ponder the terms involved in your next messages. > > This being said, I was not particularly surprised to see some “passionate” replies to your different messages. And I agree with everyone here, we should not go into such passion and use ad-hominem attacks on a mailing list, AND you should also understand that most of your rhetoric do contains such passion and attacks. > > > > > Concerning the facts : > > You are right, Neural models does not use any notion of word (or word morphology) as it is usually thought in linguistics as it usually first decide what is the granularity with which it will aggregate its input (sequence of characters) into tokens to which it attaches an “interpretation” (modelled as a multi-dimensional vector). > > > > > Concerning the interpretation : > > 1. You want to wipe out the notion of word based on such a fact. I would agree somehow if we were dealing with a universal modelling of language, but this is not the case. Human model language in a certain way and neural models in another way (even if neural networks are claimed to be inspired by biological neurones in our brains). The fact that a concept does not exist in a model does not entail that it does not exist in another model. > > > 2. Also, you do make the very same mistake concerning the way you look at the facts: i.e. there is no such thing as a character…, which means that the input of NN is already flown with a bias with which we look at language. Indeed characters are a very recent invention that builds on different concerns: > - usual graphical elements that are traditionally used in language writing and that has been interpreted as atomic, > - their interpretation by the encoding authorities (see the differences and debates about code points vs characters) > - arbitrary decision made (e.g. why model A and a as 2 different characters?) > Moreover, all corpora are usually badly encoded by using one character for another (quote instead of apostrophe, unbreakable character instead of a space, …) and this only accounts for languages with a writing system or transcription, i.e. not the majority of them. > > The conclusion is that even Neural Network uses artificial bias in the way they model language, which means that the conclusion we draw from them are as flawed as the one we draw from the classical way linguists look at languages. > > > 3. Most serious linguists never defined “words” lightly and most of them know that this concept is an "approximation” of something that is very difficult to apprehend and seems to be more grounded into linguistics from human introspection than linguistics from corpora. It somehow represents the way our human brain aggregates the atoms of the language (characters/phonemes) into something to which we associate an interpretation. In this sense, it is somehow the “tokens” of our biological neural network (and certainly far more). > > As an utterance production is not a bijection between whatever we have in our head and the sequential signal we use to communicate, I agree with you on the fact that “words" are certainly not present in a corpus (but I do think that our inner “tokens” may be observed somehow there). > > > Concerning the rhetoric: > > I do not think any linguist or computational linguist is naive enough to think that any of the modelling we deal with are a “truth” and I doubt any of them is miseducated enough to think that “words” are clearly defined and undoubtedly present in corpora. I do think though that they are usually right to observe occurrences (or hints) of non atomic constructs we associate with some interpretation. I also think that this way of looking to a corpus has some advantages that are not really present in NN (for instance, it can observe some regularity that will help human produce new utterances without being shown a large amount of examples). > > I also do think that even if you were totally right in your facts and interpretations, asking for a denial of current/past ways of looking to the texts will be a mistake. Even in physics, since the general theory of relativity, we know the classical mechanics is wrong, however it is still in use and it is not a problem as long as everybody know under which hypothesis it is a good enough approximation and under which hypothesis it does not work anymore. > > > > I know this message will certainly not make you think differently, but if it allows you to communicate differently with persons that still use the terms “words" or “sentences" as a simple shortcut to position their work into a shared/common understanding of the state of the art, in contexts where there is no room for better explanation (e.g. in summaries of their keynote speech), then I will have achieved something. > > Hoping this scientifical debate will continue in an appeased manner, > > Regards, > > Gilles Sérasset, > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> Nota automatica aggiunta dal sistema di posta Sostieni il futuro Dona il tuo 5x1000 al Collegio Internazionale Ca' Foscari FINANZIAMENTO DELLA RICERCA SCIENTIFICA E DELLA UNIVERSITÀ | CODICE FISCALE: 80007720271

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University of Leeds - 4 jobs teaching Computer Science
by Eric Atwell 31 Aug '23

31 Aug '23

School of Computing at University of Leeds is expanding our BSc, MEng, MSc and PhD research-led teaching. Our research strengths include Artifical Intelligence for language research. We offer 4 full-time ongoing (i.e. permanent) posts; if interested, you can apply separately for each post. Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 LISS1031 Online MSc AI programme leader School of Computing, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric https://www.edubots.eu<https://www.edubots.eu/> ________________________________ We’ve advertised new opportunities on our careers site at https://jobs.leeds.ac.uk<https://jobs.leeds.ac.uk/> We hope you’ll be interested in these roles as they match your job alert subscriptions. You can view the job details, and apply, by clicking the following links: Teaching Assistant in Computer Science - EPSCP1135 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1135> Teaching Assistant in Computer Science - EPSCP1136 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1136> Teaching Fellow in Computer Science - EPSCP1137 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1137> Teaching Fellow in Computer Science (Online Education) - EPSCP1138 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1138> If you have any questions or need any further assistance, please contact our HR team who will be more than happy to help. Human Resources University of Leeds

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RANLP 2023 Call for Participation
by amalhaddad＠ugr.es 30 Aug '23

30 Aug '23

RANLP 2023 Call for Participation We are pleased to share the programme of the international conference 'Recent Advances in Natural Language Processing' (RANLP'2023). To view the programme, please click here https://ranlp.org/ranlp2023/index.php/main-conference-programme/ To register, please visit https://ranlp.org/ranlp2023/index.php/fees-registration/ We very much hope to welcoming you at RANLP'2023 in Varna!

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Last CfP: 7th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Dominique Brunato 30 Aug '23

30 Aug '23

[Apologies for possible cross-posting] ***************************************************************************************************** *CALL FOR PAPERS* 7th Workshop on Natural Language for Artificial Intelligence (NL4AI) at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) November 6th - 9th, 2023, Rome, Italy Website: http://sag.art.uniroma2.it/NL4AI/ http://www.aixia2023.cnr.it/ ***************************************************************************************************** *IMPORTANT DATES* PAPER SUBMISSION DEADLINE: SEPTEMBER 11TH, 2023 Notification of paper acceptance: September 29th, 2023 Camera-ready version deadline: October 9th, 2023 Workshop (at AIxIA 2023): November 6th - 9th, 2023 ***************************************************************************************************** *INTRODUCTION* The goal of the NL4AI workshop is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities rise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. *TOPICS OF INTEREST* We invite papers that pertain to the workshop theme including, but not limited, to: * NLP and AI Applications (health, legal domain, social media and journalism, etc.) * Natural Language Interfaces for Human Robot Interaction * Resources and Evaluation * Discourse and Pragmatics * Natural Language Generation * Information extraction in AI applications * Machine Learning for NLP * Sentiment analysis and Opinion mining * Natural Language Inference * NLP and Industrial Challenges * Semantics * Conversational Agents in Human-Computer Interaction * Cognitive modeling and psycholinguistics * Language and other Multimodality * Speech and Spoken language processing * Ethics and NLP * Interpretability, Explainability and Analysis of Models for NLP * Abusive Language Detection and Analysis * Machine Translation and Multilinguality * Question Answering * Summarization * NLP for Fact Checking, Fake News Detection and Analysis * LLMs and Applications * Multimodal (text-image) data sources Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. *HOW TO SUBMIT* We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are also welcomed. We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (http://ceur-ws.org/Vol-XXX/CEURART.zip). Short/Demo papers: The maximum length is 6 pages (plus up to 2 pages of references). Long papers: The maximum length is 12 pages (plus up to 2 pages of references). Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair at: https://easychair.org/conferences/?conf=nl4ai2023 *WORKSHOP ORGANIZERS* Elisa Bassignana, IT University of Copenhagen, Denmark Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy Marco Polignano, University of Bari Aldo Moro, Italy Alan Ramponi, Fondazione Bruno Kessler, Italy

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Final CFP + Deadline Extension: Computational Approaches to Historical Language Change 2023 (LChange’23)
by Syrielle Montariol 30 Aug '23

30 Aug '23

****Apologies for possible cross-posting **** Dear all, We are happy to remind you that there will be a full-day workshop on *computational approaches to historical language change (LChange’23)* co-located with EMNLP (December 6-10, 2023). This is the *last Call for Papers*. You can find the details below. New elements to note: 1. *We're extending the submission deadline by one week, until September 8th!* 2. After the success of last year, we're re-opening the LChange Student Mentoring sessions! Interested students should send us a one-page research statement in relation to the topics of this workshop, and we will pair them with a senior researcher. This is not limited to authors who submit a paper to the workshop. Application deadline: October 10th 3. Via our sponsor, Iguanodon.ai, we can offer one free registration for a PhD student! More details below. Application deadline: October 10th. 4. Papers already submitted to EMNLP'23 can enter our fast-track submission process. You need to provide us with the reviews and your OpenReview paper ID. Submission deadline: October 8th. ============================================== 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23) ============================================== Website: https://www.changeiskey.org/event/2023-emnlp-lchange/ Date: Dec 6, 2023 Location: Singapore and online Contact email: lchange2023(a)changeiskey.org LChange'23 is the fourth workshop for computational approaches to historical language change with a focus on digital text corpora. Come join us for this exciting adventure! The workshop builds upon its first iteration in 2019 ( https://languagechange.org/events/2019-acl-lcworkshop/), and the subsequent events (2021, 2022). LChange'19 resulted in a book on Computational approaches to semantic change (https://langsci-press.org/catalog/book/303). This year, LChange will be colocated with EMNLP 2023 in Singapore, as a hybrid event. The workshop will take place on Wednesday 6 December 2023. We hope to make this fourth edition another resounding success! ==Important Dates== September 1, 2023: *Paper submission EXTENDED TO SEPTEMBER 8, 2023* October 6, 2023: Notification of acceptance October 18, 2023: Camera-ready papers due December 6, 2023: Workshop date ==Submissions== URL for submissions: https://openreview.net/group?id=EMNLP/2023/Workshop/LChange We accept two types of submissions, long and short papers, following the EMNLP 2023 style <https://2023.emnlp.org/calls/style-and-formatting/> (you can also directly use the Overleaf template <https://www.overleaf.com/latex/templates/instructions-for-emnlp-2023-procee…>), and the ACL submission policy <https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio…> . Long and short papers may consist of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. LChange’23 also welcomes papers focusing on releasing a dataset or a model; these papers fall into the short paper category. To encourage model and dataset sharing at the reviewing phase, model and dataset papers do not need to be anonymous. Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. ==Sponsor== We gratefully acknowledge the contribution of iguanodon.ai as gold sponsor. Registration sponsorship: Thanks to iguanodon.ai, we are sponsoring the registration fees for the EMNLP conference, including the yearly ACL membership fee, for several students and early-career researchers. We therefore would like to invite interested candidates to apply by email, by October 10th 23:59 CEST, to syrielle.montariol(a)gmail.com with the following information: - Short CV - 500-word abstract about current research - Whether it would be your first xACL event - Whether you have an accepted paper at EMNLP 2023 (including workshops) - Confirmation of your “student” status if you are one We particularly encourage sponsorship applications from diverse backgrounds and underrepresented groups in the NLP community. ==Workshop Topics== This workshop explores state-of-the-art computational methodologies, theories, and digital text resources to explore the time-varying nature of human language. The aim of this workshop is three-fold. First, we want to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating cutting-edge research on topics concerning language change. We want to utilize this workshop as a platform for sharing state-of-the-art research progress in this fundamental domain of natural language research. Second, in doing so we want to bring together domain experts across disciplines by connecting researchers in historical linguistics with those who develop and test computational methods for detecting semantic change and laws of semantic change; and those who need knowledge (of the occurrence and shape) of language change, for example, in digital humanities and computational social sciences where text mining is applied to diachronic corpora subject to e.g., lexical semantic change. Third, the detection and modeling of language change using diachronic text and text mining raise fundamental theoretical and methodological challenges for future research. Besides these goals, this workshop will also support discussion on the evaluation of computational methodologies for uncovering language change. SemEval2020 Task1 on unsupervised detection of lexical semantic change attracted three-figure submission numbers and a total of 21 submitted system papers. Since then, three more tasks have been completed in Italian, Russian, and Spanish. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language ==Keynote Talks== Mario Giulianelli, Institute for Logic, Language and Computation of the University of Amsterdam ==Contact== Contact us if you have any questions: lchange2023(a)changeiskey.org If you have published in the field previously, and are interested in helping out in the PC to review papers, send us an email. Organizers: Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti. ==Anti-Harassment Policy== Our workshop highly values the open exchange of ideas, freedom of thought and expression, and respectful scientific debate. We support and uphold the ACL Anti-Harassment policy <https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>, and any workshop participant should feel free to contact any of the workshop organizers or ACL (acl(a)aclweb.org), in case of any issues.

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ALTA 2023 Shared Task - Second Call
by Diego Molla-Aliod 30 Aug '23

30 Aug '23

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2023<http://www.alta.asn.au/events/sharedtask2023> The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is fitting for the times we are living: Distinguish between human-generated and AI-generated text. The prize for the winning team will be $500 (AUD). The tentative key dates are: Right Now - Registration and release of training and development data 27 Sep 2023 - Release of test data 03 Oct 2023 - Deadline of submission of runs 06 Oct 2023 - Notification of results 25 Oct 2023 - Deadline of submission of system description 29 Nov - 1 Dec 2023 - Presentation of results at ALTA 2023 Details of the task and registration are available at the competition website (https://www.alta.asn.au/events/sharedtask2023<https://www.alta.asn.au/events/sharedtask2023>) Good luck! Diego Molla-Aliod

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The 4th Scholarly Document Processing (SDP) Workshop: Participation Interest Survey
by Tirthankar Ghosal 29 Aug '23

29 Aug '23

Dear Colleagues, Please vote for your interest in the Scholarly Document Processing workshop! The organizing committee for the Scholarly Document Processing (SDP) workshop invites expressions of interest in participating in the 4th edition of the SDP workshop series (to be held in 2024, if accepted). We would also like to solicit your feedback on focus areas of interest and shared tasks that you would like to participate in. We will use this information to tailor our workshop focus in order to best reflect the community’s current interests. If you would be interested in participating in SDP 2024, please fill out the brief survey at this link: https://forms.office.com/r/iURXpy2Ztx [1] . The deadline for submitting this survey is /Monday, August 28 (anywhere on earth)/. Thank you again for helping us to make the scholarly document processing community an integral part of the computational linguistics community! Read more: https://www.aclweb.org/portal/content/4th-edition-scholarly-document-proces… [1] https://forms.office.com/r/iURXpy2Ztx Best, Tirthankar -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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Business Informatics Librarian/Specialist, University of Arizona Libraries
by heather froehlich 28 Aug '23

28 Aug '23

Dear all, The University of Arizona Libraries’ Data Cooperative unit seeks a Business Informatics Librarian/Specialist. The incumbent will develop a robust program supporting business informatics and data literacy through a variety of formats, providing up-to-date and on-demand training for relevant tools and resources. The Business Informatics Specialist / Librarian will: stay abreast of trends and tools available in the evolving business informatics ecosystem; provide technical support and training in the use of tools and workflows to support scholarship in business-related data analysis, management, and visualization; work with library colleagues and researchers to identify appropriate tools, platforms, and resources for business analytics and visualization projects; collaborate with other members of the Data Cooperative and Research Engagement to develop outreach strategies and partnerships for supporting projects on computational and data literacy; identify opportunities for impactful engagement in business informatics by the University Libraries; contribute to the scholarly record through research, creative works, and/or scholarship. We require: An advanced degree in a business administration, economics, management information systems, finance, or related field or master’s degree in library and information science from an ALA-accredited institution; Demonstrated experience with evolving landscape of business informatics technologies and resources, such as visualization, data analysis, and predictive modeling. The salary is listed as being between $63,000 - $76,000, and September 27, 2023 is the date of first review. For a full description of the role and required application materials, please see https://arizona.csod.com/ux/ats/careersite/4/home/requisition/17412?c=arizo… . Thank you! Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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BlackboxNLP 2023: The 6th Workshop on Analysing and Interpreting Neural Networks for NLP
by Hosein Mohebbi 28 Aug '23

28 Aug '23

*Last Call for Papers*: The sixth edition of BlackboxNLP, co-located with EMNLP 2023, in Singapore. *Important dates* --------------------- ****September 1, 2023 – Submission deadline *(via Softconf: https://www.softconf.com/emnlp2023/blackboxnlp2023/)*** October 6, 2023 – Notification of acceptance October 18, 2023 – Camera-ready papers due December 7, 2023 – Workshop Note: All deadlines are *11:59 PM UTC-12 (anywhere on Earth)*. *Workshop description:* ----------------- Many recent performance improvements in NLP have come at the cost of understanding of the systems. How do we assess what representations and computations models learn? How do we formalize desirable properties of interpretable models, and measure the extent to which existing models achieve them? How can we build models that better encode these properties? What can new or existing tools tell us about these systems’ inductive biases? The goal of this workshop is to bring together researchers focused on interpreting and explaining NLP models by taking inspiration from fields such as machine learning, psychology, linguistics, and neuroscience. We hope the workshop will serve as an interdisciplinary meetup that allows for cross-collaboration. Topics of interest include, but are not limited to: * Applying analysis techniques from neuroscience to analyze high-dimensional vector representations in artificial neural networks; * Analyzing the network’s response to strategically chosen input in order to infer the linguistic generalizations that the network has acquired; * Examining network performance on simplified or formal languages; * Mechanistic interpretability, reverse engineering approaches to understanding particular properties of neural models; * Proposing modifications to neural architectures that increase their interpretability; * Testing whether interpretable information can be decoded from intermediate representations; * Explaining specific model predictions made by neural networks; * Generating and evaluating the quality of adversarial examples in NLP; * Developing open-source tools for analyzing neural networks in NLP; * Evaluating the analysis results: how do we know that the analysis is valid? *Submissions* ----------------- We call for two types of papers: 1) Archival papers. These are papers reporting on completed, original and unpublished research, with a maximum length of 8 pages + references. Papers shorter than this maximum are also welcome. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should report on obtained results rather than intended work. These papers will undergo double-blind peer-review, and should thus be anonymized. 2) Extended abstracts. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. Submissions should follow the official EMNLP 2023 style guidelines. *The submission site is:* https://www.softconf.com/emnlp2023/blackboxnlp2023/ *Organizers* ----------------- Yonatan Belinkov, Technion Najoung Kim, Boston University Sophie Hao, New York University Arya McCarthy, Johns Hopkins University Jaap Jumelet, University of Amsterdam Hosein Mohebbi, Tilburg University *Contact* --------------------- Please contact the organizers at blackboxnlp(a)googlegroups.com for any questions. Read more: https://blackboxnlp.github.io https://www.aclweb.org/portal/content/blackboxnlp-2023-6th-workshop-analysi…

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CfP: GEM - Industrial Track
by Enrico Santus 28 Aug '23

28 Aug '23

💎 You still have few more days to submit your #papers <https://www.linkedin.com/feed/hashtag/?keywords=papers&highlightedUpdateUrn…> to the Industrial Track of the #GEM2023 <https://www.linkedin.com/feed/hashtag/?keywords=gem2023&highlightedUpdateUr…> #workshop <https://www.linkedin.com/feed/hashtag/?keywords=workshop&highlightedUpdateU…>, which will be co-located with #EMNLP <https://www.linkedin.com/feed/hashtag/?keywords=emnlp&highlightedUpdateUrns…>, in December in #Singapore <https://www.linkedin.com/feed/hashtag/?keywords=singapore&highlightedUpdate…> 💎 📅 8 September 2023: Workshop paper submission deadline This track will address the unique challenges faced by non-academic colleagues, highlighting the differences in evaluation practices between academic and industrial research, and explore the challenges in evaluating generative models with real-world data. The Industrial Track invites submissions covering the following topics, including (but not limited to): 💎 Breaking Barriers: Bridging the Gap between Academic and Industrial Research (example) 💎 From Data Diversity to Model Robustness: Challenges in Evaluating Generative Models with Real-World Data (example) 💎 Beyond Metrics: Evaluating Generative Models for Real-World Business Impact (example, example, example) For more information, visit: https://gem-benchmark.com/workshop -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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Research Position on Computational Models of Misunderstanding in Germany
by mroth＠coli.uni-saarland.de 28 Aug '23

28 Aug '23

The independent research group on "Computational Models of Misunderstanding for Complex Instructional Text" invites applications for one research associate. The position is funded through a grant in the Emmy Noether Programme of the German Research Foundation (DFG---Deutsche Forschungsgemeinschaft), which funds projects similar to an ERC Starting Grant or NSF CAREER Award. The group is headed by Dr. Michael Roth and currently hosted by the Institute for Natural Language Processing ("IMS") at the University of Stuttgart, Germany [1 <https://www.ims.uni-stuttgart.de/en/institute/researchgroups/mist/>]. The project is concerned with the systematic analysis and computational modelling of text passages that can lead to misunderstandings. A substantial amount of previous work has studied misunderstandings in dialogue, but suitable resources for written language are scarce because misunderstandings cannot be observed directly from a text. Since readers and writers typically do not interact, it is important for authors to ensure that texts leave no room for misinterpretation. Otherwise, for example, medical instructions may be followed incorrectly, and route directions may not guide navigators to their desired destination. The announced position plays a key role in the project's final phase, leveraging previously created resources (e.g. [2 <https://aclanthology.org/2022.lrec-1.354/>,3 <https://aclanthology.org/2020.lrec-1.702/>]) and connecting to the group's award-winning earlier work (e.g. [4 <https://aclanthology.org/2021.eacl-srw.5/>,5 <https://aclanthology.org/2022.semeval-1.146/>]). Potential areas of focus for the successful candidate include delving deeper into specific linguistic factors that may lead to misunderstandings (such as elements of implicit or underspecified language), enhancing classification models by incorporating additional information (such as commonsense knowledge or multi-modal context), and/or testing these models in practical applications (such as question answering or machine translation). The position is initially available until February 2025, with a start date as soon as possible (e.g. December 2023) and the possibility of extension (for a total of at least 2 years). Compensation will be in accordance with the German TV-L E13 salary scale at 100% (approx. 4,000 EUR *gross* per month). Successful applicants will have obtained a Ph.D. (or are close to completing their thesis) in computational linguistics, machine learning, or a closely related field, with a particular interest in semantics and pragmatics or downstream applications. Programming skills and the ability to work in a team are taken for granted. The candidate should be able to work and communicate in English (no proficiency of German is required). Applications should include a motivation letter including research interests, a CV, a list of publications and contact information of up to three references. Applications should be sent *as a single PDF file* to Michael Roth by email. Applications received by 23 September 2023 will receive full consideration, but the position will remain open until filled. Candidates who identify as female, LGBTQ+ and/or as members of any underrepresented group are particularly encouraged to apply. Feel free to contact Michael Roth (head of group) or Nicola Fanton (PhD student) for any question regarding the group or position. [1] https://www.ims.uni-stuttgart.de/en/institute/researchgroups/mist/ [2] https://aclanthology.org/2022.lrec-1.354/ [3] https://aclanthology.org/2020.lrec-1.702/ [4] https://aclanthology.org/2021.eacl-srw.5/ (best student paper) [5] https://aclanthology.org/2022.semeval-1.146/ (best task description paper) -- Dr. Michael Roth Emmy Noether Group Leader Institute for Natural Language Processing University of Stuttgart

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Job : Postdoc (12 months), NLP and gender stereotypes in the French media, Universite Grenoble Alpes, France
by François Portet 25 Aug '23

25 Aug '23

Call for postdoc applications in Natural Language Processing for the automatic detection of gender stereotypes in the French media (Grenoble Alps University, France) Starting date: flexible, November 30, 2023, at the latest Duration: full-time position for 12 months Salary: according to experience (up to 4142€/ month) Application Deadline: Open until filled Location: The position will be based in Grenoble, France. This is not a remote work. Keywords: natural language processing, gender stereotypes bias, corpus analysis, language models, transfer learning, deep learning *Context* The University of Grenoble Alps (UGA) has an open position for a highly motivated postdoc researcher to joint the multidisciplinary GenderedNews project. Natural Language Processing models trained on large amount of on-line content, have quickly opened new perspectives to process on-line large amount of on-line content for measuring gender bias in a daily basis (see our project https://gendered-news.imag.fr/ <https://gendered-news.imag.fr/> ). Regarding research on stereotypes, most recent works have studied Language Models (LM) from a stereotype perspective by providing specific corpora such as StereoSet (Nadeem et al., 2020) or CrowS-Pairs (Nangia et al. 2020). However, these studies are focusing on the quantifying of bias in the LM predictions rather than bias in the original data (Choenni et al., 2021). Furthermore, most of these studies ignore named entities (Deshpande et al., 2022) which account for an important part of the referents and speakers in news. In this project, we intend to build corpora, methods and NLP tools to qualify the differences between the language used to describe groups of people in French news. *Main Tasks* The successful postdoc will be responsible for day-to-day running of the research project, under the supervision of François Portet (Prof UGA at LIG) and Gilles Bastin (prof UGA at PACTE). Regular meetings will take place every two weeks. - Defining the dimensions of stereotypes to be investigated and the possible metrics that can be processed from a machine learning perspective. - Exploring, managing and curating news corpora in French for stereotypes investigation, with a view to making them widely available to the community to favor reproducible research and comparison. - Studying and developing new computational models to process large number of texts to reveal stereotype bias in news. Make use of pretrained models for the task. - Evaluate the methods on curated focused corpus and apply it to the unseen real longitudinal corpus and analyze the results with the team. - Preparing articles for submission to peer-reviewed conferences and journals. - Organizing progress meetings and liaising between members of the team. The hired person will interact with PhD students, interns and researchers being part of the GenderedNews project. According to his/her background his/her own interests and in accordance with the project's objective, the hired person will have the possibility to orient the research in different directions. *Scientific Environment* The recruited person will be hosted within the GETALP teams of the LIG laboratory (https://lig-getalp.imag.fr/ <https://lig-getalp.imag.fr/>), which offers a dynamic, international, and stimulating environment for conducting high-level multidisciplinary research. The person will have access to large datasets of French news, GPU servers, to support for missions as well as to the scientific activities of the labs. The team is housed in a modern building (IMAG) located in a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by the Times Higher Education magazine in 2018. The person will also closely work with Gilles Bastin (PACTE, a Sociology lab in Grenoble) and Ange Richard (PhD at LIG and PACTE). The project also includes an informal collaboration with "Prenons la une" (https://prenonslaune.fr/ <https://prenonslaune.fr/>) a journalists’ association which promotes a fair representation of women in the media. *Requirements* The candidate must have a PhD degree in Natural Language Processing or computer science or in the process of acquiring it. The successful candidate should have - Good knowledge of Natural Language Processing - Experience in corpus collection/formatting and manipulation. - Good programming skills in Python - Publication record in a close field of research - Willing to work in multidisciplinary and international teams - Good communication skills - Good mastering of French is required *Instructions for applying* Applications will be considered on the fly and must be addressed to François Portet (Francois.Portet(a)imag.fr <mailto:Francois.Portet@imag.fr>). It is therefore advisable to apply as soon as possible. The application file should contain - Curriculum vitae - References for potential letter(s) of recommendation - One-page summary of research background and interests for the position - Publications demonstrating expertise in the aforementioned areas - Pre-defense reports and defense minutes; or summary of the thesis with the date of defense for those currently in doctoral studies *References* Deshpande et al. (2022). StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. arXiv preprint arXiv:2205.14036. Choenni et al. (2021). Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? arXiv preprint arXiv:2109.10052. Nadeem et al. (2020) StereoSet: Measuring stereotypical bias in pretrained language models. ArXiv. Nangia et al. (2020) CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. In EMNLP2020. -- François PORTET Professeur - Univ Grenoble Alpes Laboratoire d'Informatique de Grenoble - Équipe GETALP Bâtiment IMAG - Office 333 700 avenue Centrale Domaine Universitaire - 38401 St Martin d'Hères FRANCE Phone: +33 (0)4 57 42 15 44 Email:francois.portet@imag.fr www:http://membres-liglab.imag.fr/portet/

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LAST CFP: ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing, December 16-17, 2023
by Mourad Abbas 25 Aug '23

25 Aug '23

Last Call for Papers (06 days left for submission) 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/2023welcome> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. For more details, visit the conference website: https://www.icnlsp .org/2023welcome *CONTACT* icnlsp(at)gmail(dot)com Best regards, Mourad Abbas

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[CfP] Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023
by Tirthankar Ghosal 25 Aug '23

25 Aug '23

*** Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ *** *** Twitter: https://twitter.com/wiesp_nlp *** Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second Workshop on Information Extraction from Scientific Publications (WIESP) will provide a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques. A lot of technological change happened in one year (since the 1st WIESP), especially with Generative Artificial Intelligence research. We are incorporating a few additional topics to stay abreast with the latest developments and research in the community. The 2nd iteration of WIESP would focus on the following topics (but not limited to): - Large Language Models (LLMs) for Science - Application of LLMs on information extraction, generation, mining and knowledge discovery from scientific publications - Probing LLMs for scientific fact checking and misinformation - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata In addition to research paper presentations, WIESP will also feature keynote talks, a panel discussion on “Large Language Models and Scientific Literature Mining'', and shared tasks. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. We strongly encourage participation of students, researchers, and science practitioners from diverse backgrounds, especially from underrepresented groups and communities, to be a part of WIESP events, and pro-actively make the workshop a diverse and inclusive one. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. In addition to papers, WIESP will also host shared tasks. More details on the WIESP shared tasks will be available on our website shortly. Also, we will publish separate CfPs on the shared tasks. Shared task authors will be invited to write their system descriptions and those will be subjected to peer review. ***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)*** The citation graph is an essential tool for helping researchers find relevant literature. To further empower discovery, we aim to label the edges of the graph with the function of the citation: e.g. is the cited work necessary background knowledge, or is it used as a comparison, to the citing work? To start this process, we propose a shared task of automatically labeling citations with a function based on the textual context of the citation. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks All accepted papers would be published in the WIESP proceedings as part of IJCNLP-AACL 2023 and indexed in the ACL Anthology. ***Important Dates*** - Paper Submission Deadline: August 25, 2023 - Notification of workshop paper/abstract acceptance: October 2, 2023 - Camera-ready Submission Deadline: October 15, 2023 - Workshop: November 2-4, 2023 (online, final date TBD) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: TBD (please have an eye on the website) Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. We follow the same policies as IJCNLP-AACL 2023 regarding preprints and double submissions. The anonymity period for WIESP 2023 is from July 25 to August 25. ***Organizers*** - Tirthankar Ghosal, National Center for Computational Sciences, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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2023 Annual Sinclair Lecture - delivered by Professor Susan Hunston OBE
by Michaela Mahlberg 25 Aug '23

25 Aug '23

Dear all, You are invited to join us at the University of Birmingham for the 2023 Annual Sinclair Lecture! This year’s lecture will be delivered by Professor Susan Hunston OBE Date: Mo 11th September 2023, 6pm Title: “From Pattern to System: an exploration in lexical grammar” Abstract: The approaches to lexis and grammar pioneered by Michael Halliday and by John Sinclair can be seen as conflicting or as complementary. For the most part they have developed independently of each other. This lecture reports on a project to bring the two approaches together and to populate systemic networks with constructions derived from pattern grammar. It will show that the concept of system is invaluable in demonstrating a hierarchy of constructions derived from patterns, and then in explicating choices available to speakers in specific areas of meaning. The paper will also consider the possible practical applications of this work. We are back to an in-person event this year – so you are invited to raise a glass with us after the lecture! The event is free, but please register here: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… We are very much looking forward to seeing many old and new corpus linguistic friends! Michaela --------------- Professor Michaela Mahlberg Director of the Centre for Corpus Research University of Birmingham Edgbaston Birmingham B15 2TT, UK Editor of the International Journal of Corpus Linguistics https://benjamins.com/catalog/ijcl Host of the Life and Language Podcast https://anchor.fm/michaela-mahlberg/ @MichaMahlberg<https://twitter.com/MichaMahlberg> http://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx https://www.turing.ac.uk/people/researchers/michaela-mahlberg https://www.linkedin.com/in/michaela-mahlberg/

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GEM flash shared task summarisation/D2T: expression of interest
by Simon Mille 25 Aug '23

25 Aug '23

Dear colleague, We are collecting interests for the GEM v3 "flash" shared task, which will focus on text summarisation and data-to-text generation in a variety of languages. The submission deadline is expected to be around the end of September 2023, and we will provide a human evaluation of each participant’s main submission in the following weeks. Please fill out the very brief survey <https://forms.office.com/Pages/ResponsePage.aspx?id=EhAze6GHFkqLD6RgWx89f3L…> to indicate which task(s) and language(s) you would be interested in. More details on the datasets and modalities will be communicated soon. Thank you! simon More about GEM: https://gem-benchmark.com/

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Employment opportunities: Research Assistant Position for corpora and data mining at Hong Kong Baptist University
by janice pan 25 Aug '23

25 Aug '23

Job title: Research Assistant for Corpora and Data Mining (PR0113/23-24) The original post can be seen via searching "PR0113/23-24" on https://hro.hkbu.edu.hk/index.php?page_id=6&menu_id=222&f=job *FACULTY OF ARTSDEPARTMENT OF TRANSLATION, INTERPRETING, AND INTERCULTURAL STUDIESResearch Assistant for Corpora and Data Mining (PR0113/23-24)* The Department invites applications for a full-time Research Assistant position for the project "Re-testing the Universals: Mining Interpreting Data through Re-Engineered Mega-Size Corpora". This pioneering project is at the intersection of corpus-based interpreting studies, natural language processing, and text mining. The project involves working with three significant corpora, namely the Chinese/ English Political Interpreting Corpus (CEPIC), the European Parliament Interpreting Corpus (EPIC), and the European Parliament Interpreting Corpus Ghent (EPICG). The successful candidate will be involved in the analysis of these corpora in languages including Chinese, English, Italian, French, Dutch. *Responsibilities:* - Primary focus on data cleaning, preparation, and initial analysis of the CEPIC, EPIC, and EPICG corpora across multiple languages; - Collaborative work on hypothesis and methodology development; and - Application of natural language processing techniques and text mining to analyse and draw insights from the corpora. *Requirements:* - A bachelor's degree or above in a related field such as Translation Studies, Linguistics, Data Science, or Computational Linguistics. Recent university graduates are also encouraged to apply; - Proficiency in text mining and programming languages such as Python and R, or tools such as SPSS, for data processing and analysis; - Basic competence in at least two of the languages used in the project: Chinese, English, Italian, French and Dutch; - Prior experience or familiarity with the CEPIC, EPIC, and EPICG corpora will be a significant advantage; and - A strong background in computational linguistics or a related field is preferred. The initial appointment will be made on a fixed-term contract for one year. Re-appointment thereafter will be subject to mutual agreement and funding availability. Salary Range: HK$20,000-24,000 per month *Salary will be commensurate with qualifications and experience.* For inquiries about the post, please contact the project investigator, Dr. Janice Pan at janicepan(a)hkbu.edu.hk. *Application Procedures:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (https://jobs.hkbu.edu.hk). Those who are not invited for interview 8 weeks after the submission of the application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of the offer. *Review of applications is ongoing until the position is filled.* *Apply Now* <https://jobs.hkbu.edu.hk/hrssers/persrequest?job_no=PR0113/23-24>

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everything in NLP is statistical now, or what this list is for
by Stan Szpakowicz 25 Aug '23

25 Aug '23

Hello. Gully Burns wrote this in response to a few unnecessary ad-hominem posts: /I was shocked to see a vitriolic ad-hominem attack on a colleague posted to this mailing list. It is entirely inappropriate to post this type of diatribe against an individual even though someone might disagree with either the tone or the content of an individual's messages or arguments. The fact that other members of the community chimed in to reinforce the attack is also appalling and entirely inappropriate./ I agree with Gully. Ada Wan's posts may be long, and clearly are not to everyone's liking, but they speak to a phenomenon that is troubling enough to merit a discussion. Symbolic processing in NLP is utterly outmoded. Number crunching has taken overcompletely, and linguistic reflection seems to be considered unnecessary. This may be an opening for scientific dodginess. Ada advocates, and very reasonably, for good scientific practice, so one wonders why anyone would be riled up. This may be my optimism, but the Corpora List may be the best forum that NLP has today. It is not only a place for announcing conferences and workshops, and advertising open positions. It is, and it should be, a place for an exchange of ideas. -- Stan Szpakowicz, PhD, DSc, Emeritus Professor EECS, Computer Science, University of Ottawa

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[FinNLP@IJCNLP-AACL] Hybrid and New Dataset for ML-ESG-2
by CHUNG-CHI CHEN 25 Aug '23

25 Aug '23

Dear Colleagues, I would like to share two news of FinNLP@IJCNLP-AACL-2023 ( https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/home) with you. (1) We have decided to host FinNLP@IJCNLP-AACL in a hybrid format. While we encourage in-person attendance, we understand the need for flexibility and will also be accommodating live online presentations. The submission deadline is Sep. 9th. For more details, please refer to our call for paper: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/call-for-papers (2) We're excited to announce the release of a new dataset in Japanese for the Multi-Lingual ESG Impact Type Identification (ML-ESG-2) shared task. If this area of research interests you, registration is still open. For more details, please visit: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/shared-task-esg-imp… . Looking forward to seeing you at FinNLP@IJCNLP-AACL in November. Warm regards, Chung-Chi --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org Website: http://cjchen.nlpfin.com

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Paper DL extension: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by Juri Opitz 24 Aug '23

24 Aug '23

Dear colleagues, due to popular demand, the deadline for regular paper submissions to the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP) at AACL 2023 will be extended by 1 week. The new submission deadline is **September 1**. Please note that Eval4NLP also allows submission of pre-reviewed papers *together* with their reviews and explanation of possible refinements. These can be submitted up to one month later. For details, please see below or visit the Eval4NLP webpage: https://eval4nlp.github.io/2023/cfp.html. ----------------------------------------------------------------------------------------- The 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP: ** September 1 ** - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 10 - Workshop day: November 1 Please see the Call for Papers for more details: https://eval4nlp.github.io/2023/cfp.html. ** Special topic of this year’s workshop ** This year's edition of the Eval4NLP workshop puts a focus on the evaluation of and through large language models (LLMs). Notably, the workshop will feature a shared task on LLM evaluation and specifically encourages the submission of LLM evaluation focused papers. Other submissions that fit the general scope of Eval4NLP are of course also welcome. See below for more details. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: https://eval4nlp.github.io/2023/shared-task.html. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models. Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check. Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates: https://github.com/acl-org/acl-style-files. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… Pre-reviewed submissions: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ----------------------------------------------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com

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CfP: NLP4DH & IWCLUL 2023 in Tokyo (no publication fees)
by Mika Hämäläinen 23 Aug '23

23 Aug '23

NLP4DH 2023 & IWCLUL 2023 The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan. The proceedings will be published in the ACL anthology<https://aclanthology.org/>. The workshop will take place on December 1-3 2023. https://rootroo.com/en/joint-nlp4dh-iwclul-2023/ Submission deadline: October 1, 2023 Registration/publication fees: 0€! The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to: -Text analysis and processing related to humanities using computational methods -Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation). -Research on cultural heritage collections such as national archives and libraries using NLP -NLP for error detection, correction, normalization and denoising data -Generation and analysis of literary works such as poetry and novels -Analysis and detection of text genres In addition, IWCLUL solicits papers that focus on NLP methods for Uralic languages. Many of these languages are endangered and call for innovative NLP approaches that can deal with small amounts of data. A list of suitable IWCLUL topics include but are not limited to: -Parsers, analysers and processing pipelines of Uralic languages -Lexical databases, electronic dictionaries -Finished end-user applications aimed at Uralic languages, such as spelling or grammar checkers, machine translation or speech processing -Evaluation methods and gold standards, tagged corpora, treebanks We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH) or NLP methods for Uralic languages (IWCLUL). Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results. Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work. Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website. All submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>. The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted using the conference submission system by the deadline. At least one of the authors of an accepted paper must attend the event and present their paper. Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references. The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities<https://jdmdh.episciences.org/>. Important dates -Paper submission (full and short): October 1, 2023 -Notification of acceptance: November 3, 2023 -Camera ready deadline: November 17, 2023 -NLP4DH & IWCLUL in Tokyo: December 1-3, 2023

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Extension of Deadline and Final CfP: Computational approaches to metaphor and figurative language
by Sebastian Michael Reimann 23 Aug '23

23 Aug '23

Final Call for Abstracts Computational approaches to metaphor and figurative language Date: Feb 28-Mar 1, 2024 Location: Ruhr-University Bochum, Germany Organizers: Stefanie Dipper, Tatjana Scheffler, Sebastian Reimann, Adam Roussel (Ruhr-University Bochum) Homepage: https://www.ruhr-uni-bochum.de/metaphor-dgfs2024/ Call deadline: September 1, 2023 Meeting description: Workshop at the Annual Conference of the German Linguistic Society (DGfS 2024) https://dgfs.de/ Call for Papers: Figurative and non-literal language, such as metaphor, metonymy, or personification, poses a special challenge for computational analysis, since these expressions are not used with their usual, ordinary meanings, as represented in corpus data or recorded in lexical resources, but with different, derived meanings. We aim to bring together computational linguists working on the automatic analysis of non-literal language. A special focus will be on non-conventionalized usages, such as novel metaphors or innovative forms of metonymy. In addition, we are particularly interested in approaches applicable to languages other than English, for example low-resource languages or domains. We welcome contributions dealing with the identification of (specific forms of) non-literal language, with the interpretation of figurative expressions, or with the relation between literal and non-literal meanings in distributional semantic representations. Further, we are interested in discussing how the meaning of figurative expressions is negotiated, for example in social media, and how distributional semantic representations can be enriched in order to reflect figurative meaning. Possible topics include, but are not limited to: * non-conventionalized or innovative figurative language * computational approaches to metaphors, allegory, or metonymy * features for automatically detecting figurative language * the interpretation of non-literal expressions * semantic divergence of non-literal expressions * figurative expressions in low-resource languages * meaning negotiation in social media * semantic representations for figurative meaning Invited speakers: Sabine Schulte im Walde (University of Stuttgart), tba Submission details: Authors should submit anonymous abstracts of maximally 2 pages (including references) in a 12 point font (e.g., Times New Roman). References should be formatted according to the APA guidelines. The workshop language is English for both abstracts and talks. According to DGfS regulations, speakers can only present a paper in one workshop. Please submit your abstracts as a (anonymized) pdf document to the following address: metaphor-dgfs2024(a)ruhr-uni-bochum.de , and include the author information in the body of the email. Upon acceptance, participants will be requested to submit a de-anonymized shortened version of the abstract for the conference booklet. Important dates: Abstract submission deadline: September 1, 2023 Notification of acceptance: September 8, 2023 Workshop: Feb 28-Mar 1, 2024 --- Sebastian Reimann (he/him) Wissenschaftlicher Mitarbeiter Department for German Language & Literature / CRC 1475: Metaphors of Religion Universitätsstraße 90a 44799 Bochum Germany

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[2nd CFP] 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO24)
by Philipp Cimiano 21 Aug '23

21 Aug '23

Apologies for cross-postings ====================== 2nd CFP: The 1st International Conference on Robust Argumentation Machines (RATIO-24) will take place from June 5th-7th, 2024, in Bielefeld, Germany. https://ratio-conference.net <https://ratio-conference.net/> In recent years, we have witnessed significant advances in our ability to develop approaches that support the automated analysis, summarization, aggregation, retrieval and ranking of arguments exchanged “in the wild” at large scale. By "in the wild" we mean arguments exchanged on the web in debate portals or other online formats where users share opinions and viewpoints on topics relevant to them. Argument analysis methods have indeed reached a level of maturity and robustness that make them applicable to the analysis of real online debates, to find the main arguments exchanged, to summarize and group arguments, or even to automatically generate arguments to present different viewpoints and perspectives. We call for submissions of original research work on the following topics: automatic semantic analysis of arguments, including tasks such as stance detection, keypoint identification, attack/support classification, etc. analysis of arguments in discourse and dialogue automatic synthesis and generation of arguments summarization of arguments argument retrieval methods for predicting argument quality ranking of arguments according to, e.g., quality methods for rephrasing and repurposing arguments inferring the frame, viewpoint or perspective of an argument common sense knowledge in the automated analysis of arguments scalable reasoning methods for arguments applications of argument analysis in domains such as political discourse, law, science, education, finance, social sciences, etc. Papers will be peer-reviewed and published by Springer in the LNCS series. Two types of papers will be accepted: Long Papers (up to 15 pages including references): Description of substantive and original research. Short Papers (up to 8 pages including references): Description of work in progress or original research contribution of limited scope. Papers should be submitted via Easychair: https://easychair.org/conferences/?conf=ratio24 <https://easychair.org/conferences/?conf=ratio24> Important dates: Abstract submission deadline: October 27th, 2023 Full paper submission deadline: November 10th, 2023 Notification of Acceptance: January 26th, 2024 Camera-ready version: February 23rd, 2024 Conference Chairs: Philipp Cimiano (CITEC, Bielefeld University) Anette Frank (University of Heidelberg) Michael Kohlhase (University of Erlangen-Nürnberg) Benno Stein (Bauhaus University Weimar) Jürgen Ziegler (University Duisburg - Essen) Invited Speakers: Elena Cabrio (Université Côte d’Azur, Inria <http://www.unice.fr/>) Yufang Hou (IBM Research Europe) Henning Wachsmuth (Institute for Artificial Intelligence, Leibniz University of Hannover) Venue: The conference will be held in Bielefeld, Germany at the Cognitive Interaction Technology Center (CITEC). All questions about submissions should be emailed to Philipp Cimiano: cimiano(a)cit-ec.uni.bielefeld.de <mailto:cimiano@cit-ec.uni.bielefeld.de> Prof. Dr. Philipp Cimiano AG Semantic Computing Coordinator of the Cognitive Interaction Technology Center (CITEC) Co-Director of the Joint Artificial Intelligence Institute (JAII) Universität Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano(a)cit-ec.uni-bielefeld.de Office CITEC-2.307 Universitätsstr. 21-25 33615 Bielefeld, NRW Germany

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CfP - The Praxis of Digital Humanities
by Mai Zaki 21 Aug '23

21 Aug '23

Dear colleagues, Hope you all had a great summer and happy new academic year. Kindly find below the CfP for our conference on Digital Humanities and Arabic/Islamic/literary/media studies next year. We hope to welcome many of you at AUS in March. https://info.aus.edu/ara-2024 Mai Zaki On behalf of the organising committee ******************* *Mai Zaki, Ph.D. د. مي زكي* Associate Professor of Linguistics أستاذ مشارك في اللسانيات CAS | Department of Arabic and Translation Studies قسم دراسات اللغة العربية والترجمة American University of Sharjah, UAE الجامعة الأمريكية في الشارقة، الإمارات العربية المتحدة *http://www.aus.edu <http://www.aus.edu/>* Follow me on ResearchGate <https://www.researchgate.net/profile/Mai_Zaki2> Follow me on Academia.edu <https://aus.academia.edu/DrMaiZaki> Certified mentor/trainer @ ALDESD <https://aldesd.org/certified-bootcamp-mentors-2/> Recent publications: Zaki, M. (2022) The Metadiscourse of Arabic Academic Abstracts: A corpus-based Study. *Research in Corpus Linguistics*, 10(2), 113-146. (open access <https://ricl.aelinco.es/index.php/ricl/article/view/221>) Al-Kaisi, M. and Zaki, M. (2022) Arab influencers and social media: A Sociolinguistic Study of a New Culture. In Al-Rashdi, F. and Mehta, S. (eds.)* Language and Identity in the Arab World*, London: Routledge, pp. 153-173.

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Employment opportunities: Research Assistant Position for corpora and data mining at Hong Kong Baptist University
by janice pan 21 Aug '23

21 Aug '23

*Hong Kong Baptist University* *Research Assistant (Full-time) * We invite applications for a full-time Research Assistant position for the project "Re-testing the Universals: Mining Interpreting Data through Re-Engineered Mega-Size Corpora". This pioneering project is at the intersection of corpus-based interpreting studies, natural language processing, and text mining. The project involves working with three significant corpora, namely the Chinese/English Political Interpreting Corpus (CEPIC), the European Parliament Interpreting Corpus (EPIC), and the European Parliament Interpreting Corpus Ghent (EPICG). The successful candidate will be involved in the analysis of these corpora in languages including Chinese, English, Italian, French, Dutch. *Responsibilities:* - Primary focus on data cleaning, preparation, and initial analysis of the CEPIC, EPIC, and EPICG corpora across multiple languages - Collaborative work on hypothesis and methodology development - Application of natural language processing techniques and text mining to analyse and draw insights from the corpora *Requirements:* - A bachelor's degree or above in a related field such as Translation Studies, Linguistics, Data Science, or Computational Linguistics. Recent university graduates are also encouraged to apply. - Proficiency in text mining and programming languages such as Python and R, or tools such as SPSS, for data processing and analysis. - Basic competence in at least two of the languages used in the project: Chinese, English, Italian, French and Dutch. - Prior experience or familiarity with the CEPIC, EPIC, and EPICG corpora will be a significant advantage. - A strong background in computational linguistics or a related field is preferred. *Benefits and Training:* The Research Assistant will be trained and supervised by the project investigators. The initial appointment will be made on a fixed-term contract for one year, with the possibility of further extension. Salary will be competitive, in the range of 20,000-24,000 HKD per month, commensurate with qualifications and experience. For further information, please contact Dr. Janice Pan at janicepan(a)hkbu.edu.hk. *Application Procedures:* Applicants are invited to submit their CV, detailing their relevant experience to the project to Dr. Janice Pan at janicepan(a)hkbu.edu.hk. Review of applications is ongoing until the position is filled.

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CFP: Special Issue on Explainability of NLP models, TAL journal
by Marianna Apidianaki 18 Aug '23

18 Aug '23

Call for Papers Special Issue of the TAL Journal: Explainability of NLP models https://tal-64-3.sciencesconf.org/ ** Deadline for submission: 15 October 2023 ** ** Guest Editors ** Marianna Apidianaki, University of Pennsylvania Guillaume Wisniewski, Université Paris Cité, LLF Neural models build language representations without direct supervision, and have contributed to the important advances of language and speech processing systems in recent years. The use of the representations built by pre-trained language models (such as BERT) allows the development of systems for many languages and domains. However, model decisions are not interpretable. It is often not possible to know why a system makes a specific decision, and the reasons behind the good performance of state-of-the-art models remain mostly unknown. An increasing number of studies attempt to provide answers to these questions by addressing the explicability of NLP systems, and exploring questions related to: • model analysis and interpretability, aimed at identifying the information encoded in neural representations [1] ; • the development of methods aimed at describing and justifying the reasoning steps that allowed systems to reach a specific answer, for example with chain-of-thought prompting (model explicability) [2] ; • the development of "safe" systems, capable of self-justification (model accountability). This special issue of the TAL journal aims to address explanation and analysis methods that have been proposed for NLP systems, as well as our current understanding of the linguistic capabilities of neural models and their limitations. We welcome submissions on the following topics (non-exclusively): • Methods aimed at explaining the decisions of neural networks (identification of important elements, explanation in textual format, …), and specifically methods that allow to establish causality relations between a prediction and the input (or part of the input); • Probing methods aimed at identifying linguistic and world knowledge encoded in neural representations; • Methods that allow to distinguish information that is encoded by neural networks, from information that is actually used by the models for making a decision (correlation versus causality); • Methods inspired by analysis methodology from related domains (experimental linguistics, computer vision, psychology, …); • Bias identification in neural language models; • Prompting methods to generate explanations with text [2] or structured representations [4]; • Study of artificial languages or of linguistically motivated examples; • Evaluation of explanation methods and especially methods aimed at evaluating the faithfulness of explanations. [1] Interpretability and Analysis in Neural NLP (Belinkov et al., ACL 2020) [2] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., NeurIPS 2022) [3] Towards Faithful Model Explanation in NLP: A Survey (Lyu et al., arxiv 2023) [4] Causal Reasoning of Entities and Events in Procedural Texts (Zhang et al., EACL Findings 2023) ** Important dates ** • Submission deadline: 15 October 2023 • Notification to the authors after first review: December 2023 • Notification to the authors after second review: February 2024 • Publication : April 2024 ** Submission format ** The length of the papers must be between 20 and 25 pages. Style sheets are available on the journal's website (https://www.atala.org/content/instruction-authors-style-files-0). Authors are invited to submit their paper on this platform: https://tal-64-3.sciencesconf.org/ To do so, authors will need to first create an account by clicking on "Create account" (Créer un compte) next to the “Login" (Connexion) button at the top of this page. To submit a paper, authors can connect to their account and upload their submission in "My Space" > "My submissions”. The articles can be written in English or in French. Papers in English need to include a title and abstract in French. The TAL journal has a double-blind review process. It is necessary to anonymize the article and the name of the file, and to avoid self-references. Each article is evaluated by three reviewers, two external reviewers and a member of the editorial board of the journal TAL. ** TAL Journal ** TAL (Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing, http://www.atala.org) since 1959 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication, with printing on demand. The TAL journal is open-access. Paper submission, publication and access are free of charge. Papers published in the TAL journal will be made available on the ATALA website and on ACL Anthology.

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Registration for AIRiAL 2023 is now open
by Voss, Erik 17 Aug '23

17 Aug '23

Artificial Intelligence Research in Applied Linguistics (AIRiAL) 2023 Conference Dear Colleagues, Registration for *AIRiAL 2023* is now open. The conference will be held in person on Friday and Saturday, September 29-30, 2023 at Teachers College in New York City. A banquet has been planned for Saturday evening. The early registration discount will be available through *Thursday, August 24, 2023.* AIRiAL Conference site <https://sites.google.com/tc.columbia.edu/airialconference/home?pli=1> *AIRiAL 2023 r*egistration page <https://sites.google.com/tc.columbia.edu/airialconference/airial-2023/regis…> We are looking forward to seeing you in New York City! Best, The AIRiAL 2023 Organizing Committee -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> AIRiAL 2023 Conference <https://sites.google.com/tc.columbia.edu/airialconference/home> *Latest Publications* Voss, E. (2022). Argument-based validation in the time of the COVID-19 pandemic <https://www.taylorfrancis.com/chapters/edit/10.4324/9781003221463-6/argumen…>. (Ch. 5) Routledge. Voss, E. (2023). Proctoring remote language assessments <https://www.routledge.com/Fundamental-Considerations-in-Technology-Mediated…>. (Ch. 12) Routledge.

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Two-year post doc position at the University of Genoa (Italy) - Deadline August 31st 2023
by mauro.giacomini＠unige.it 17 Aug '23

17 Aug '23

Dear all, we are looking for a Research Assistant to work on the project Digital Health Solutions in Community Medicine (DHEAL-COM), financed by the NextGeneration EU program through the Italian Health Ministry. The position is for two years. The successful candidate will be based in the Health Informatic Section of the Bioengineering Laboratory at the Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS - https://dibris.unige.it/) of the University of Genova - Italy. The overall objective of the Digital Health Solutions in Community Medicine project (DHEAL-COM) Project is the strengthening and development of a Life Science Hub at national level (DHEAL-COM HUB) for the co-creation of digital health services where the person’s needs are the starting point. The DHEAL-COM HUB will act as a central integrator, to bring together and coordinate three satellite national Competence Centre Nodes that will focus on: Digital Health Model/Services, Digital Health Technologies, and Digital Health Usability/Accessibility. Specifically, the title of the call is: Electronic Clinical Data Management: Developing a machine learning-based system for extracting meaningful information from clinical records to fuel a growing data lake. The goal of the two-year research is to collect high-quality data to support the construction and growth of the DHEAL-COM data lake. For this purpose, it will be necessary to automatically remove or replace information that directly identifies the patient, in order to process large amounts of data. Secondly, it will be necessary to extract fundamental information for diagnosis and treatment from data, both structured and unstructured, and codify them according to international standards (eg: ICD11) to allow sharing of the same across several national and international centres. These activities require a strong knowledge of NLP techniques which will have to be widely applied to achieve the purposes of the call. The official call and is available here: https://concorsi.unige.it/home/procedure/4125 Deadline for submission is: August 31st Constraint: the person must have a PhD or obtain it during the first year of the contract Kind regards Mauro

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Second Call for Papers: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by Juri Opitz 15 Aug '23

15 Aug '23

Dear colleagues, the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ****_New_****: This year's edition of the Eval4NLP workshop puts a focus on the evaluation of and through large language models (LLMs). Notably, the workshop will feature a shared task on LLM evaluation and specifically encourages the submission of LLM evaluation focused papers. Other submissions that fit the general scope of Eval4NLP are of course also welcome. See below for more details. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP deadline: August 25 - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 10 - Workshop day: November 1 Please see the Call for Papers for more details: https://eval4nlp.github.io/2023/cfp.html. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: https://eval4nlp.github.io/2023/shared-task.html. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models. Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check. Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates: https://github.com/acl-org/acl-style-files. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… Pre-reviewed submissions: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com

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Postdoc and PhD position in NLP/CL/CSS at GESIS (Cologne) - deadline: Sept 5/6
by Gabriella Lapesa 15 Aug '23

15 Aug '23

Postdoc and PhD position in NLP/CL/CSS at GESIS (Cologne) The newly established Data Science Methods team led by Gabriella Lapesa [2,3] (Leibnitz Institute for Social Sciences GESIS, Cologne [1], Computational Social Science department [4]) has two positions available from November 2023: - one postdoctoral researcher (100%, 4 years, with possibility of tenure) - one doctoral researcher (75%, 4 years). The PhD project will be pursued at the Heinrich Heine University of Düsseldorf (where Gabriella Lapesa is a junior professor in Responsible Data Science and Machine Learning). ** The team ** The Data Science Methods team will contribute to build and mantain the GESIS infrastructure for Computational Social Science (CSS) research by developing novel methods and making them available, documented, and accessible through the GESIS services. The team will focus on fostering the interaction between Natural Language Processing and Social Science by developing solutions that allow for the integration of multiple information sources (e.g., different textual sources for the same debate; socio-demographic features of speakers and audiences; integration of textual and multimodal data) and address recent challenges in NLP (modeling subjective phenomena; low-resource scenarios; identifying and mitigating bias). The team will tackle research questions at the interface between computational argumentation and CSS, and target political communication from a very broad perspective involving different types of actors (citizens, politicians, parties) and discourse contexts (e.g., online discussions vs. newspapers). From a methodological perspective, at the core of the team's research agenda will be the “learning from disagreements” challenge, as machine learning approaches which rely on gold standards which average annotators’ perspectives are particularly unsuitable for the highly subjective phenomena tackled in CSS research (e.g., persuasion in online discussions; harmful communication online; polarization). ** How to apply ** The official job announcement with more details about the requirements/tasks and the application procedure can be found at the following links: Postdoctoral researcher (deadline: September 5th): https://www.hidden-professionals.de//HPv3.Jobs/Gesis//stellenangebot/33073/1 Doctoral researcher (deadline: September 6th): https://www.hidden-professionals.de//HPv3.Jobs/Gesis//stellenangebot/33084/1 [1] https://www.gesis.org/en/home [2] https://www.gesis.org/institut/mitarbeitendenverzeichnis/person/Gabriella.L… [3] https://www.ims.uni-stuttgart.de/institut/team/Lapesa/ [4] https://www.gesis.org/en/institute/departments/computational-social-science

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August 2023 Newsletter - LDC
by Penn LDC 15 Aug '23

15 Aug '23

In this newsletter: LDC at Interspeech 2023 LDC releases speech activity detector Fall 2023 LDC Data Scholarship Program New publications: 2019 OpenSAT Public Safety Communications Simulation<https://catalog.ldc.upenn.edu/LDC2023S06> Samrómur Queries Icelandic Speech 1.0<https://catalog.ldc.upenn.edu/LDC2023S05> ________________________________ LDC at Interspeech 2023 LDC is happy to be back in person as an exhibitor and longtime supporter of Interspeech, taking place this year August 20-24 in Dublin, Ireland. Stop by Stand A2 to say hello and learn about the latest developments at the Consortium. LDC is also delighted to once again be a silver sponsor for the Young Female Researchers in Speech Workshop<https://sites.google.com/view/yfrsw-2023> and to provide data in support of the CHiME-7 challenge<https://www.chimechallenge.org/current/workshop/index> satellite workshop and the MERLIon CCS Challenge<https://sites.google.com/view/merlion-ccs-challenge>. LDC will post conference updates via our social media platforms. We look forward to seeing you in Dublin! LDC releases speech activity detector LDC announces the release of the LDC Broad Phonetic Class Speech Activity Detector. Based on the broad phonetic class recognizer implemented in the HTK Speech Recognition Toolkit<https://htk.eng.cam.ac.uk/>, LDC's speech activity detector model runs the speech signal through a GMM-HMM recognizer to identify five broad phonetic classes: vowel, stops/affricate, fricative, nasal, and glide/liquid. The LDC Broad Phonetic Class Speech Activity Detector is available at no cost on github<https://github.com/Linguistic-Data-Consortium/ldc-bpcsad> under a GPL v3 license<https://www.gnu.org/licenses/gpl-3.0.en.html>. Fall 2023 LDC Data Scholarship Program Student applications for the Fall 2023 LDC Data Scholarship program are being accepted now through September 15, 2023. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> ________________________________ New publications: 2019 OpenSAT Public Safety Communications Simulation<https://catalog.ldc.upenn.edu/LDC2023S06> contains 141 hours of English speech recordings and transcripts used in the NIST Open Speech Analytic Technologies (OpenSAT<https://www.nist.gov/itl/iad/mig/opensat>) 2019 evaluation's automatic speech recognition, speech activity detection, and keyword search tasks. The data is part of the SAFE-T (Speech Analysis For Emergency Response Technology) corpus created by LDC which is comprised of speakers engaged in a collaborative problem-solving activity representative of public safety communications in terms of speech content, noise types, and noise levels. US English speakers played the board game Flash Point Fire Rescue. Background noise was played through a participant's headset during the recording session. Recording sessions consisted of 2 30-minute games. The corpus is divided into training, development, and evaluation data. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Samrómur Queries Icelandic Speech 1.0<https://catalog.ldc.upenn.edu/LDC2023S05> was developed by the Language and Voice Lab, Reykjavik University<https://lvl.ru.is/> in cooperation with Almannarómur, Center for Language Technology<https://almannaromur.is/>. The corpus contains 20 hours of Icelandic prompted queries from 3,809 speakers representing 17,475 utterances. Speech data was collected between October 2019 and December 2021 using the Samrómur website<https://samromur.is> which displayed prompts to participants. The prompts were mainly from The Icelandic Gigaword Corpus<http://clarin.is/en/resources/gigaword>, which includes text from novels, news, plays, and from a list of location names in Iceland. Additional prompts were taken from the Icelandic Web of Science<https://www.visindavefur.is/> and others were created by combining a name followed by a question or a demand. Prompts and speaker metadata are included in the corpus. 2023 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Conference on Harmful Online Communication (CHOC2023), 16-17 Nov, Cologne Germany & online
by Sen, Indira 15 Aug '23

15 Aug '23

Dear colleagues, We (Christina Dahn, Pascal Siegers, Katrin Weller, and I) are hosting the Conference on Harmful Online Communication (CHOC2023) later this year which might also interest NLP researchers working on abusive language detection. The conference will take place in Cologne, Germany, and online on November 16-17, and is generously funded by the Thyssen Foundation. CHOC 2023 aims to bring together researchers and practitioners working on detecting harmful language from a variety of disciplinary lenses. There are also some options for joining with a poster presentation or as participants. See https://www.gesis.org/en/research/conferences/gesis-conferences/conference-… for additional information. We would appreciate it if you could also share this with other people who might be interested. Best wishes, Indira Sen

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BCS Information Retrieval SG - Call for Tutorials: Search Solutions 2023
by Udo Kruschwitz 15 Aug '23

15 Aug '23

Search Solutions is the BCS Information Retrieval Specialist Group’s annual event focused on practitioner issues in the arena of search and information retrieval. Search Solutions consists of two parts: a tutorial day and a conference day. We invite tutorial proposals which focus on any area of the practical application of search technologies to real world problems, for the tutorial day due to take place on 21st Nov 2023 before the conference day on 22nd Nov 2023. Tutorials in previous years have included: designing usability for search, multimedia information retrieval, evaluation, pattern search, city search in SmartCities, text analysis, introduction to natural language processing and introduction to reinforcement learning, Apache Solr and open-source technologies, etc. The details of the previous tutorials can be found here: <>https://www.bcs.org/membership-and-registrations/member-communities/informa… <https://www.bcs.org/membership-and-registrations/member-communities/informa…>. Tutorials Proposals for both full day (5-6 hours including breaks and lunch) and half day (2-3 hours including breaks) tutorials are invited. The tutorials will take place on Tuesday 21st November 2023 at the BCS offices in London and/or online depending on the situation near the time. We encourage in person tutorials at the BCS offices if possible. Proposal submission Tutorial proposals should be submitted to the tutorial chair (h.liu(a)soton.ac.uk <mailto:h.liu@soton.ac.uk>) by midnight Monday 11th Sep 2023, using the following template: Name of presenter(s): please list the names and affiliations of presenter(s). Title: title of the tutorial. Contact details: email and snail mail address, phone numbers etc. Type of tutorial: half day or full day. Delivery format: Online only or in person only or could be both Tutorial Abstract: for publicity. Target audience: please outline the practitioner audience to be addressed. Learning outcomes: what would the practitioners gain from attending this tutorial? Tutorial schedule and description: provide a draft schedule and detailed description of each of the items. Tutorial logistics/materials: required media and formats for tutorial. What will be provided to attendees (e.g. slides). Bio of presenter(s): including track record of presenting tutorials, lecturing experience etc. (200/300 words) Selection Procedure All tutorial proposals will be reviewed by the tutorial chair and approved by the organising committee. The selection criteria will focus on the quality of the tutorial content and the appropriateness of it to the main theme of search solutions. Contact Tutorial Chair: Dr Haiming Liu, h.liu(a)soton.ac.uk <mailto:h.liu@soton.ac.uk> Dr Haiming Liu, PhD, PgCAP, SFHEA Associate Professor @ Web and Internet Science (WAIS) Research Group Director of Centre for Machine Intelligence (CMI) School of Electronics and Computer Science (ECS) Faculty of Engineering and Physical Science University of Southampton Highfield, Southampton, SO17 1BJ Email: h.liu(a)soton.ac.uk <mailto:h.liu@soton.ac.uk>

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Re: math and language/text data (continued from thread "Re: Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...")
by Anil Singh 14 Aug '23

14 Aug '23

Re "Wanderers, Kings, Merchants: The Story of India through Its Languages by Peggy Mohan": look forward to reading it. (History or historical events aside, does it have to do with how language(s) became an indicator of power/privilege/status? If humankind has anything in common, this could be one general observation...) It does to some extent, particularly with regard to the history of languages and related things in India. Re "If people are used to writing in their own language on computers, then that language is more likely to survive": I don't disagree, but --- [Forewarning: one might not like my reply to the following, but I ask for it to be interpreted with a scientific mindset rather, not with emotions and sentiments related to language identity and particular cultural practices.] "Languages" (as in, particular language varieties, not "language" as in language-at-large) come and go, born and die (and, sometimes, come back), like trends, styles, cultures ("culture" as in a particular way of living, a set of habits...). Esp. for users of varieties that have undergone oppression/suppression, I understand that there is or can be much meaning to many users in having the varieties be alive or in use. It is important to the users. It is a symbol of their existence. Yes, that is important. But having witnessed how language has been abused (e.g. with research greed by some CL/NLPers), I sometimes think one might have gone too far with how much identity one attaches to any particular language. Coming trom the background that I do, your statement above seems very similar to saying that we might have gone too far with political correctness or about opposing racism/misogyny/etc. Like most Europeans or Americans, you seem to have no (or very little) idea about the toll that discrimination -- even unintended discrimination -- takes on a very large part of the human population. In early 2009, I had written a rant in a blog post and the title of the post was "English is Language Independent". I had made roughly the same points which the now famous Bender Rule makes. I have been writing about it, although that blog is now defunct. I did not, however, make any proposal, as the Bender Rule does. I just pointed out the problem, so I am in no way undermining the importance of that. And one anonymous comment on this blog post was this: "Why don't you work on a good project. I don't see the prejudice persisting for long once you do that." It is like saying about gender or racism: "Why don't you make accomplishments equal to us? Once you do that, I don't see the prejudice persisting for long." Not to be picky here, but "I have heard some native speakers *users *of some "Dravidian languages" say that there are some (I guess minor) problems with Unicode for their languages": using the terms "native" and "speakers" to refer to "users" (or as I sometimes use among knowers of language: "languagers") has been an unhealthy baggage from our past practices in the language space. I can't comment on the issue of "Dravidian languages" and Unicode, but it seems one might need more info/details on the complaints to act further. Well, yes, the word "native" has indeed a very dark history. How could I not know it? But, the manner in which linguists use the term "native speaker" is very different. At least I think so. Note that I am only mentioning linguists here, not "CL/NLPer". By the way, I thought I had coined the term "NLPer" in my blog long ago, but I may be wrong about that. I am pretty sure one can find out these details in some online forum or some academic publication etc. I have not so far done that, but it is a good idea to do that. I will try. Re "psycholinguistic validity from computational validity": in (cognitive/psycholinguistic) modeling, there is / can be not much difference between the two. (When one has enough experiences with modeling or with language/psycholinguistic phenomena, it's not hard to to see that results from computational modeling could also hold elsewhere. The art then is to be able to connect the two "realms". But then again, it depends on the claims, of course.) Yes, of course, it depends on the claim. The two realms can definitely be connected. We don't disagree about that. In fact, I think, we don't really disagree about that many things it seems. Even so, isn't it possible to implement the same thing in many different ways when it comes to computation? That is not the case with the brain/mind, of course. Here, I am again making a distinction between computation and mathematics. Perhaps you don't agree with that? In that case, perhaps we mean different things by the term "computation". Re science and engineering: I am not sure if engineering has to be "just about" heuristics or short cuts. There is good engineering and there is bad engineering, for the sake of my arguments here. In the context of ML with language/textual data, one ought to be careful with "computing based on values of surface elements/strings". Much of what the CL/NLP community/communities have been doing for the past few decades has been "computing based on values of surface elements/strings". This practice deserves serious re-evaluation (there are lots of grey areas here and opportunities to compare processing across finer granularities (without all the preprocessing hacks/"heuristics"/"engineering") for various tasks and data types/formats, without "words", "sentences", "linguistic structure(s)", "grammar" et al.). I don't think of it as "it's engineering!", but some bad practices/culture having been promoted as such and normalized (for a couple of decades?). Good engineering can also be fine, thoughtful, and robust. I completely agree. But sometimes I do work on things which, theoretically, seem ridiculous to me, but they may be practically useful. At least half (perhaps more) of my motive to work on language processing is to address somehow, to any extent, the issue of linguistic empowerment. I am prepared to compromise theoretically for that purpose. Re "I don't think there is anything wrong with what you call grammar hacking from the engineering point of view": I do (think there is something wrong), because: i. "all grammars leak" (from Sapir, also in Manning and Schütze (1999)); I know. I tell this to students every time I teach NLP or any related subject. ii. "words" (whatever they are) are too coarse-grained for computing. I already agreed to that, but if they help in my benign motives, I am prepared to use them. Re "it [language(s)] is still likely to have an 'organic' structure": couldn't that structure (one not associated with "words"/"sentences"/"grammar") be one from math or computing? Or one that is a by-product of a combination of these factors? It certainly could. Some CL/NLPers have made various claims concerning "structures" in the past, borrowing the concepts from "linguistic structure(s)", from "grammar". There was a lot of chiming along, many often have neglected the fact that grammar could effect the impression of "structures" through "words" etc. or that it all in turn patterns some of our thoughts/judgments sub-/unconsciously. And the loop goes on. (See also: See also: https://twitter.com/adawan919/status/1532335891448057858) Well, if you prefer the term "patterns" to "grammar" or "structure", I am completely fine with that. As I said earlier, I am moving towards the language games view of language, even for this exchange. We can't avoid that if we are talking in a human/natural language. The only way to avoid that, if there is a way, is to use only mathematical notation, but I don't think we have reached that stage so far with the study of language. Re "in English "John loves Mary" is in fact a very different thing than "Mary loves John"": one has to re-evaluate to which extent this matters in whichever form of computing/computation one is engaged in and how often this "canonical form" that you are implicitly referring to really occurs in data as well as how this actually surfaces in data. One should look at the data in front of one, not the framework/theory in one's mind. (I believe in achieving better designs/systems through testing from both a data-centric as well as an algorithm-centric perspective. Hardware counts too!) I mostly agree, but I am not sure whether you are saying that "John loves Mary" may not perhaps be different from "Mary loves John"? Re " it is unfair to blame Linguistics for that": My focus in "[t]he "non-native speakers of X" has been a plague in Linguistics" was on the "native" part. That has been my understanding, at least to a great extent "nativeness" was so promoted/reinforced, esp. within the school of generative Linguistics in the 2nd half of the 20th century, when it comes to "linguistic judgments". I thought the propagation stemmed from there. Who/What else do you think started it? I think the word "native" was used in a derogatory/condescending way throughout the English speaking world, even before the "birth of Modern Linguistics". It was, in fact, the more polite word. One other common word was "savage". I remember being shocked to find (very long ago) in Jane Eyre the phrase "savages living on the banks of the Ganges". Savages? On the bank of the Ganges? But these usages are much older (than "Modern Linguistics"). The matter of "linguistic judgements" or "grammaticality" is very different from that, regardless of what one's opinions are about the existence of grammar. All in all, your replies remind me of many of the reviewers' responses "typical" of (i.e. I often got from) the *CL circle (of those who remained in the past decade or so). I don't know about that. I thought I had very unconventional views of NLP, but I could be wrong about that, at least relatively. If I may guess: i. you don't have an academic background in Linguistics (esp. general Linguistics, That is true. I have learned about language(s) mostly on my own. So, if you want me to show my degree in Linguistics, I have none, except a PhD in Computational Linguistics. I was the second person to get a PhD specifically in CL in India. note that there is a difference between linguistics of particular languages and that in a more general/theoretical manner (not about (p-)language grammatical particularities), Of course there is. What makes you think I don't know that? The fact is, my knowledge of "(p)-language" is relatively very limited. Even my knowledge of the syntax of Hindi (my "mother tongue"), in a formal sense, is very limited. I mostly know about language in general. ii. you learn about language(s) through mostly non-academic books or through your own language experience(s) (which counts too, I am not invalidating it/them here), I have no idea what makes you say that. Am I supposed to list the Linguistics books I have read, in addition to showing my Linguistics degree? (Sorry if that sounds bitter, but it has happened in the past, not literally, but effectively). I can only say -- and it is strange to even have to say this -- that I definitely know more about language in general and linguistic theory than -- at least -- most graduates and postgraduates (including PhDs) of Linguistics in India. iii. you never had phonetics and phonology, nor In my replies on this thread I have not mentioned anything related to phonetics or phonology. So it must be from somewhere else that you have this impression(?). Is it from some of the papers co-authored by me? I think there are some which could give that impression. Explaining why that could be so, will take this discussion somewhere else. I don't think it is relevant here at all. Is your point that I don't know about phonetics or phonology? If it is, I would prefer not to answer that. iv. do you realize how you can practice without "words" I do. But I am also prepared to use "words" wherever they help. As I wrote earlier, I have worked without "words" sometimes and have argued against them. --- did I get any right? You got -- sort of -- the first and the third, assuming you were asking me to show my Linguistics degree and whether I had formally taken courses on Phonetics and Phonology. I wanted to note this because --- and please do not take offense, it is not meant personally for I respect your expertise and appreciate our exchanges --- for a while, I didn't know where(else) to submit my findings. It wasn't until I got all the rejections with rather shallow comments about language (or language and computing) did I realize the "solidarity" one has built with people with a background similar to yours might have been the driving force of how some computational (general) linguists (as in, "general language scientists" who also do computational work --- there are only a few of us) got chased out of the arena. The "typical" excuses for practices of this "culture" have been "engineering", "useful", "it works" --- but without any/much grounding/interest in good generalizations. One puts excess focus on processing but not on evaluation or interpretation. I think it's time for a "culture" change in this regard. To your other reply below (in triple quotes): Sorry, but I didn't understand what you mean by triple quotes. I could find any triple quotes in your comments. re "language policy": not everything has to be or can be regulated. Policies can help with promoting/reinforcing/rectifying a particular situation/initiative. I agree. Forcing people e.g. to use language in one particular way or to use "one language" only (whatever "language" "means"*)? Again, I agree. However, like most Europeans and Americans, you seem to have no (or very little) idea how people are already being forced to use some language or another. And it is hardly a new phenomenon, but it has become much more serious now due mainly to colonization and all its effects. Do you have any idea how much hundreds of millions of Indians suffer simply from being forced to use English? My primary motive in my whole life, for good reasons, has been to counter linguistic discrimination, mainly due to the imposition of English on any Indian who has any ambition at all. I think that alone makes me sufficiently qualified to "work on language". This is analogous to any other kind of discrimination or prejudice. I do not think that would be a good direction to go. For any regions, we have seen both good/better and bad/worse policies throughout the course of history. One would really have to evaluate the proposed policy in question carefully. I never said anything about forcing people to speak one language. That's why I said I don't know what exactly the connection is with the language policy. But it sure has a very strong connection, because the problem in the first place is due to language policy, written and unwritten. Do you know that there are and have been schools in the world, including India, where students are punished if they are caught speaking in their mother tongue (or first, "native" language). I still remember feeling recognition and the impression it had on me when I read the famous novel about life in Wales, How Green was My Valley. I had just become fluent in English then. Depending on the situation, some may best change things through the economy, some through government support, some through education and/or grassroot-type of initiatives, some a combination of all these and more.... I agree. *I have an answer to this... please wait for my next pub or so. I would love to read it. I am eternally hungry for any fresh look on language in general. Not so much for particular languages or varieties. That is to me, to some extent, boring. Re "it is very much like conservation of ecology or of species. I don't think it (the latter) will be considered unwarranted prescriptivism": see my 2nd response above. The same for my reply to that comment. Also, with language documentation, one can just document data without promoting grammar. (That's probably the less unethical thing one can do with language or language data.) Again I agree. I never said anything about promoting grammar. I don't like to read grammar books. It's painful to me, compared to almost any other topic under the sun, except perhaps finance, commerce, and the intricacies of legal procedures. For the sake of completeness, I should clarify -- as it seems to matter -- that I have "never had Syntax or even Semantics or Pragmatics". I am mostly self-taught, not just in Linguistics, but also in Computer Science and almost everything else. Do you really think it matters in the context of this discussion? Again, for the sake of completeness, I should mention that for decades, I have been reading all kinds of books that had anything to do with language, mostly in general, but also about Hindi or Indian languages, not to mention English. These have included what you call academic books on language in general and about Linguistics. I still keep reading, as I know very well that, being self-taught, I have some gaps in my knowledge of Linguistics and Computer Science. My undergraduate degree was in Mechanical Engineering (from 1990), but I hardly remember anything in that area. I have similarly been reading all kinds of books for decades about computers and Computer Science. I am unable to see how any of this matters in the context of this discussion. By the way, I like the metaphor you use for language: It being like a graphical user interface for the brain. That reminds me of the views of Daniel Dennett about consciousness. He constantly compares elements making up consciousness to graphical user interfaces on computers. Not that I completely agree with him about consciousness, but I still find the metaphor quite good, perhaps as an approximation.

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Call for Book Chapter Submissions: "Empowering Low-Resource Languages With NLP Solutions"
by Pankaj Dadure 14 Aug '23

14 Aug '23

Dear Sir/Ma'am, I hope you are doing well and in good health. We are excited to announce a call for a book chapter for an upcoming book titled "*Empowering Low-Resource Languages With NLP Solutions.*" Link: https://www.igi-global.com/publish/call-for-papers/call-details/6596 The objective of this book is to provide an in-depth understanding of Natural Language Processing (NLP) techniques and applications specifically tailored for low-resource languages. We believe that your valuable insights and research in this domain would greatly enrich the content of this book. To ensure a comprehensive and high-quality book, all submitted chapters will undergo a rigorous peer-review process. The accepted book will be *indexed in Scopus and Web of Science*, thereby enhancing the visibility and impact of your work. The book aims to cover a wide range of topics related to NLP in low-resource languages. Some of the suggested topics, although not limited to, include: · Introduction to Low-Resource Languages in NLP · Language Resource Acquisition for Low-Resource Languages · Morphological Analysis and Morpho-Syntactic Processing · Named Entity Recognition and Entity Linking for Low-Resource Languages · Part-of-Speech Tagging and Syntactic Parsing · Machine Translation for Low-Resource Languages · Sentiment Analysis and Opinion Mining for Low-Resource Languages · Speech and Audio Processing for Low-Resource Languages · Text Summarization and Information Retrieval for Low-Resource Languages · Multimodal NLP for Low-Resource Languages · Code-switching and Language Identification for Low-Resource Languages · Evaluation and Benchmarking for NLP in Low-Resource Languages · Applications of NLP in Low-Resource Language Settings · Future Directions and Challenges in NLP We encourage you to contribute a book chapter focusing on any of the above-mentioned topics or related areas within the scope of NLP in low-resource languages. The submission guidelines are as follows: 1. Please submit a chapter proposal (maximum 500 words) outlining the objective, methodology, and expected outcomes of your proposed chapter by August 15, 2023, to the submission portal: https://www.igi-global.com/publish/call-for-papers/call-details/6596 2. Chapter proposals should include the title of the chapter, the author(s) name, and their affiliations. 3. All submissions should be original and should not have been previously published or currently under review elsewhere. 4. The chapters should be written in English and adhere to the formatting guidelines provided after the acceptance of the proposal. *Important Dates:* August 15, 2023: Proposal Submission Deadline August 25, 2023, 2023: Notification of Acceptance September 17, 2023: Full Chapter Submission October 31, 2023: Review Results Returned December 12, 2023: Final Acceptance Notification December 26, 2023: Final Chapter Submission Thank you for considering this invitation, and we look forward to receiving your valuable contribution to this book. If you have any further questions or require additional information, please do not hesitate to contact us. Best regards, Editorial Team Dr. Partha Pakray National Institute of Technology Silchar Email: partha(a)cse.nits.ac.in Dr. Pankaj Dadure University of Petroleum and Energy Studies Dehradun Email: pankajk.dadure(a)ddn.upes.ac.in Prof. Sivaji Bandyopadhyay Jadavpur University, Kolkata Email: sivaji.cse.ju(a)gmail.com -- With Best Regards Pankaj Dadure Mobile: 9545757478

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3rd CALL FOR PAPERS: ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing, December 16-17, 2023
by Mourad Abbas 14 Aug '23

14 Aug '23

Third Call for papers 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. For more details, visit the conference website: https://www.icnlsp.org *CONTACT* icnlsp(at)gmail(dot)com Best regards, Mourad Abbas

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DGfS2024 workshop 'Towards Linguistically Motivated Computational Models of Framing' (dgfs2024-framing)
by Ines Rehbein 14 Aug '23

14 Aug '23

*Call for Abstracts* *'Towards Linguistically Motivated Computational Models of Framing'* Date: Feb 28 - Mar 1, 2024 Location: Ruhr-University Bochum, Germany Organizers: Annette Hautli-Janisz (University of Passau), Gabriella Lapesa (University of Stuttgart), Ines Rehbein (University of Mannheim) Homepage: https://sites.google.com/view/dgfs2024-framing Call for Papers: Framing is a central notion in the study of language use to rhetorically package information strategically to achieve conversational goals (Entman, 1993) but also, more broadly, in the study of how we organize our experience (Goffman, 1974). In his seminal article, Entman (1993) defines framing as "to select some aspects of a perceived reality and make them more salient in a communicating text, in such a way as to promote problem definition, causal interpretation, moral evaluation, and/or treatment recommendation for the item described." This frame definition has recently been operationalized in NLP in terms of coarse-grained topic dimensions (Card et al., 2015), e.g., by modeling the framing of immigration in the media as a challenge to economy vs. a human rights issue. But there is more to frames than just topics. The breadth of the debate on what constitutes a frame and on its (formal and cognitive) definition naturally correlates to the interdisciplinary relevance of this phenomenon: a theoretically motivated (computational) model for framing is still needed, and this is precisely the goal of this workshop, which will bring together researchers from theoretical, applied and computational linguistics interested in framing analysis. Our main interest is in furthering our understanding of how different linguistic levels contribute to the framing of messages, and to pave the way for the development of linguistically-driven computational models of how people use framing to communicate their attitudes, preferences and opinions. We thus invite contributions that cover all levels of linguistic analysis and methods: from phonetics (e.g., euphony: the use of repetition, alliteration, rhymes and slogans to create persuasive messages) and syntax (e.g., topicalization, passivization) to semantics (lexical choices, such as Pro-Life vs. Pro-Choice; the use of pronouns to create in- vs. out-groups; the use of metaphors; different types of implicit meaning) to pragmatics (e.g., pragmatic framing through the use of presupposition-triggering adverbs). We also invite work on experimental and computational studies on framing which employ linguistic structure to better understand instances of framing. The workshop is part of the 46th Annual Conference of the German Linguistic Society (DGfS 2024), held from 28 Feb - 1 March 2024 at Ruhr-Universität Bochum, Germany. *Submission instructions*: We invite the submission of anonymous abstracts for 30 min talks including discussion. Submissions should not exceed one page, 11pt single spaced (abstract + references), with an optional additional page for images. The reviewing process is double-blind; please ensure that the paper does not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) …". *Submission deadline:* *August 25, 2023* Abstract review period: Aug. 26, 2023 - Sept. 5, 2023 Meeting email: dgfs2024-framing(a)fim.uni-passau.de -- Ines Rehbein Data and Web Science Group University of Mannheim, Germany

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Second Call for Papers: Deep Learning Summer School at RANLP 2023
by Nanomi Arachchige, Isuri 14 Aug '23

14 Aug '23

DLinNLP 2023 - Deep Learning Summer School at RANLP 2023 Second Call for Participation Varna, Bulgaria 30th August - 1st September https://dlinnlp2023.github.io/ We invite everyone interested in Machine Learning and Natural Language Processing to attend the Deep Learning Summer School at 14th biennial RANLP conference (RANLP 2023). Purpose: Deep Learning is a branch of machine learning that has gained significant traction in the field of Artificial Intelligence, pushing the envelope in the state-of-the-art, with many sub-areas including natural language, image, and speech processing employing it widely in their best-performing models. This summer school will feature presentations from outstanding researchers in the field of Natural Language Processing (NLP) and Deep Learning. These will include coverage of recent advances in theoretical foundations and extensive practical coding sessions showcasing the latest relevant technology. The summer school would be of interest to novices and established practitioners in the fields of NLP, corpus linguistics, language technologies, and similar related areas. Important Dates: 30 August - 1 September: Deep Learning Summer School in NLP Lectures: * Lucas Beyer (Google Brain) * Tharindu Ranasinghe (Aston University, UK) * Iacer Calixto (University of Amsterdam, Holland) Practical Sessions: * Damith Premasiri (practical sessions) (University of Wolverhampton, UK) * Isuri Anuradha (practical sessions) (University of Wolverhampton, UK) * Anthony Hughes (practical sessions) (University of Wolverhampton, UK) Registration: **** Registration is now open: ****** https://ranlp.org/ranlp2023/index.php/fees-registration/ Programme: Please refer to the website for the details of the programme: https://dlinnlp2023.github.io/#programme ***There will be an informal poster presentation session where attendees can present their research work and get feedback from the experts in the field. *** Contact Email: dlinnlp2023(a)gmail.com<mailto:dlinnlp2023@gmail.com>

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[Final call] Four fully-funded 5-year PhD positions at University of Gothenburg, Sweden
by Peter Ljunglöf 14 Aug '23

14 Aug '23

[Note: the application deadline is Sunday 20 August] The University of Gothenburg, Sweden, is offering four fully-funded PhD positions in computer science and engineering where the candidates can choose the project themselves out of fourteen options. Two of the projects are related to NLP, one about efficient algorithms for corpus searching, and another about automatic generation of Wikipedia articles. See the ad for more information: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… The positions are fully funded for 5 years, including 20% teaching or other departemental duties. Application deadline: 20 August 2023 best regards, Peter Ljunglöf ------- ------ ----- ---- --- -- - - - - - peter ljunglöf peter.ljunglof(a)gu.se data- och informationsteknik, och språkbanken göteborgs universitet och chalmers tekniska högskola -------------- --------- -------- ------- ------ ----- ---- --- -- - - - - -

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Fully-funded PhD position “Computer Science: Knowledge Graphs & Natural Language Processing” (m/f/d), Leibniz University Hannover, Germany
by Jennifer D'Souza 14 Aug '23

14 Aug '23

Dear colleagues and friends, The Research Center L3S invites applications for the position of a Research Associate / PhD Candidate (m/f/d) “Computer Science: Knowledge Graphs & Natural Language Processing” (Salary Scale 13 TV-L; 100 %) starting at the earliest possible date. The position is limited to 3 years with the possibility of extension. The regular weekly working time is 39.8 hours (full-time). *Description:* The PhD topic will be in the context of the HybrInt project and the Open Research Knowledge Graph (https://orkg.org/) focusing on building knowledge graphs for the agricultural domain. The aim of these projects is to research and develop NLP solutions as large language models (LLMs) for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for building and maintaining the ORKG data ingestion and processing pipelines to ensure the flow of high-quality semantified resources from academic publications. Your main responsibility in this position will be to build scalable solutions that crawl, ingest, process publications, and thereby enrich the ORKG. You will work alongside the ORKG engineering team to setup the AI/NLP ecosphere. The tasks will focus on: * Working in the areas of Natural Language Processing (text mining, information extraction, information retrieval/search) and Machine Learning of scholarly communication media (digital) data * Research and development of suitable Large Language Models (LLMs) as NLP solutions * Conceptually designing, modeling, and implementing data-driven services in one or more areas of information retrieval and extraction, data enrichment, and linking of data *Application Deadline:* 15.09.2023 *Web Address for Applications:* https://www.uni-hannover.de/en/jobs/id/6435/ (en); https://www.uni-hannover.de/de/jobs/id/6435/ (de) Yours cordially, Jennifer

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Release of the AIGC corpus - The aiTECCL Corpus
by Xu, Jiajin 12 Aug '23

12 Aug '23

Dear list members, We are excited to announce that the AIGC corpus - The aiTECCL Corpus, is now available to all members of the research community. The aiTECCL Corpus was compiled by Jiajin Xu and Mingchen Sun of the Corpus Research Group of the National Research Centre for Foreign Language Education at Beijing Foreign Studies University. The corpus consisting of two million words generated by the GPT-3.5 model, using identical writing prompts to those employed in *the TECCL Corpus* <http://corpus.bfsu.edu.cn/info/1070/1449.htm>, aims to serve as a reference corpus that exhibits a native-like linguistic quality. The corpus is made available online on 9 August, 2023. URL: http://114.251.154.212/cqp/ Username: test Password: test Please cite: Xu, Jiajin & Mingchen Sun. 2023. aiTECCL: An AIGC English Essay Corpus. Beijing: National Research Centre for Foreign Language Education, Beijing Foreign Studies University. Available online: http://corpus.bfsu.edu.cn/info/1082/1913.htm *Justifying the concept of "AIGC Corpus" (Artificial Intelligence Generated Content Corpus) or Generative Corpus* The creation of the AIGC Corpus helps expand the concept of "corpus". In the classic definition of a corpus, the included materials must be language samples that are authentically or naturally occurring in real-life communication. Clearly, generative texts do not fall under this category. We believe that the rationale for the generative corpus can be viewed from at least three aspects: 1. The so-called principle of "authenticity" itself is a matter of degree. For example, whether essays written by learners under exam conditions belong to genuine communication is questionable. In existing research, some elicited data also has authenticity issues similar to those found in learners' interlanguage. Therefore, from the perspective of existing corpora, there are texts with varying degrees of authenticity. 2. The generative corpus can serve as an essential complement to existing corpora. The emergence of the generative corpus can reconcile the distinction between "probable language" and "possible language." For linguistic instances that have not yet appeared in reality, they can be generated using large language models. 3. Creating a corpus using artificial intelligence technology is a second-to-best solution under the current conditions for building specific types of corpora. For example, the aiTECCL corpus simulates a reference corpus of approximately 10,000 essays, close to the English native speaker language quality, and written on the same topics as Chinese learners. Without the use of artificial intelligence methods for generation, it might be impossible to obtain a reference corpus of such quality and comparability. Similarly, for corpus construction of languages from least-developed countries or countries with extremely small populations, without generative technology, it would be impossible to establish in the short term. Further details about the prompt and the Python script we utilised to create the corpus will be provided on the site soon <http://corpus.bfsu.edu.cn/info/1082/1913.htm>. Best wishes, Jiajin Xu Ph.D., Professor National Research Centre for Foreign Language Education Beijing Foreign Studies University, China

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CFP: 2nd Shared Task on Indian Language Summarization (ILSUM 2023)
by Parth Mehta 12 Aug '23

12 Aug '23

Apologies for the multiple postings. ---- *Indian Language Summarization (ILSUM 2023)* Website: https://ilsum.github.io/ To be organized in conjunction with FIRE 2023 (fire.irsi.res.in) 15th-18th December 2023, Goa, India ------------------------------------------------------- The second shared task on Indian Language Summarization (ILSUM) aims at creating an evaluation benchmark dataset for Indian Languages. This year ILSUM consists of two subtasks Subtask 1: This task builds upon the task from ILSUM 2022. In the first edition, we covered two major Indian languages Hindi and Gujarati alongside Indian English, a widely recognized dialect of the English Language. This year's edition adds the Bengali language and an expanded dataset for the languages from last year. Further, we will provide abstractive summaries for a subset of each language (~1000 per language) apart from the headlines which are semi-extractive summaries in nature. Like the previous edition, this will be a classic summarization task, where we will provide ~15,000 article-summary pairs for each language and the participants are expected to generate a fixed-length summary. Subtask 2: The task is centred around identifying factual errors in machine-generated summaries. With the recent implosion of Large Language models, . While these LLMs are very good at summarization, among other NLP tasks, they are often prone to hallucinations. This means the model generates information that is not accurate, not based on its training data, or is completely made up but looks accurate and reliable. Further, such tools can be misused to generate misleading or outright incorrect information. Identifying such inaccuracies can be a challenging task. Through this subtask, we aim to address the problem of identifying factually incorrect information in LLM-generated summaries. Participants will be provided with an article and its corresponding machine-generated summary. The objective is to identify the presence of factual incorrectness in the summaries if any, and classify them in one of the predefined categories. *Tentative Timeline* ------------- 7st August - Training Data Released and Registrations open 10th September - Test Data Release 20th September - Run Submission Deadline 25th September - Results Declared 10th October - Working notes due 25th October - Reviews Due 30th October - Camera Ready Submissions due 15th-18th December - FIRE 2023 at Goa, India *Organisers* ---------------- Jagrat Patel, LDRP-ITR, Gandhinagar, India Jaivin Barot, LDRP-ITR, Gandhinagar, India Tanishka Gaur, LDRP-ITR, Gandhinagar, India Shrey Satapara, Indian Institute of Technology, Hyderabad, India Sandip Modha, LDRP-ITR, Gandhinagar, India Parth Mehta, Parmonic, USA Debasis Ganguly, University of Glasgow, Scotland *For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com**

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Second Call for Papers: The 10th Workshop on Argument Mining @ EMNLP 2023 December 7, 2023
by milad.alshomary＠uni-paderborn.de 11 Aug '23

11 Aug '23

SECOND CALL FOR PAPERS The 10th Workshop on Argument Mining @ EMNLP 2023 December 7, 2023 https://argmining-org.github.io/2023/ The 10th Workshop on Argument Mining will be held on December 7, 2023 in Singapore together with EMNLP 2023. This will be a hybrid event. The Workshop on Argument Mining provides a regular forum for the presentation and discussion of cutting-edge research in argument mining (a.k.a argumentation mining) to both academic and industry researchers. By continuing a series of nine successful previous workshops, this edition will welcome the submission of long, short, and demo papers. It will feature two shared tasks, a panel on the last ten years of Argument Mining, and a keynote talk. IMPORTANT DATES - Direct paper submission deadline (Softconf): September 1, 2023 - Paper commitment from ARR: September 15, 2023 - Notification of acceptance: October 7, 2023 - Camera-ready submission: October 18, 2023 - Workshop: December 7, 2023 TOPICS OF INTEREST The topics for submissions include but are not limited to: - Automatic identification of argument components (e.g., premises and conclusions), the structure in which they form an argument, and relations between arguments and counterarguments (e.g., support and attack) in as well as across documents - Automatic assessment of arguments and argumentation with respect to various properties, such as stance, clarity, and persuasiveness - Automatic generation of arguments and their components, including the consideration of discourse goals (e.g., stages of a critical discussion or rhetorical strategies) - Creation and evaluation of argument annotation schemes, relationships to linguistic and discourse annotations, (semi-) automatic argument annotation methods and tools, and creation of argumentation corpora - Argument mining in specific genres and domains (e.g., social media, education, law, and scientific writing), each with a unique style (e.g., short informal text, highly structured writing, and long-form documents) - Argument mining and generation from multi-modal and/or multilingual data - Integration of commonsense and domain knowledge into argumentation models for mining and generation - Combination of information retrieval methods with argument mining, e.g., in order to build the next generation of argumentative (web) search engines - Real-world applications, including argument web search, opinion analysis in customer reviews, argument analysis in meetings, misinformation detection - Perspectivist approaches to subjective argument mining tasks for which multiple ”ground truths” may exist, including multi-perspective machine learning and the creation of non-aggregated datasets - Reflection on the ethical aspects and societal impact of argument mining methods - Reflection on the future of argument mining in light of the fast advancement of large language models (LLMs). SUBMISSIONS The organizing committee welcomes the submission of long papers, short papers, and demo descriptions. Accepted papers will be presented either via oral or poster presentations. They will be included in the EMNLP proceedings as workshop papers. - Long paper submissions must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be no longer than eight pages, including title, text, figures and tables. An unlimited number of pages is allowed for references. Two additional pages are allowed for appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution; a negative result; or an interesting application nugget. Short papers must be no longer than four pages, including title, text, figures and tables. An unlimited number of pages is allowed for references. One additional page is allowed for the appendix, and an extra page is allowed in the final version to address reviewers’ comments. - Demo descriptions must be no longer than four pages, including title, text, examples, figures, tables, and references. A separate one-page document should be provided to the workshop organizers for demo descriptions, specifying furniture and equipment needed for the demo. Multiple Submissions ArgMining 2023 will not consider any paper that is under review in a journal or another conference or workshop at the time of submission, and submitted papers must not be submitted elsewhere during the review period. ArgMining 2023 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline (September 15). However, ArgMining 2023 will not accept direct submissions that are actively under review in ARR, or that overlap significantly (>25%) with such submissions. Submission Format All long, short, and demonstration submissions must follow the two-column EMNLP 2023 format. Authors are expected to use the LaTeX or Microsoft Word style template (https://2023.emnlp.org/calls/style-and-formatting/). Submissions must conform to the official EMNLP style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. Submission Link and Deadline For Direct Submissions Authors have to fill in the submission form in the START system and upload a PDF of their paper before September 1, 2023, 11:59 pm UTC-12h (anywhere on earth). https://softconf.com/emnlp2023/ArgMining2023/ For the ARR commitment process, we will provide details in our second call for paper later in the summer. Double Blind Review ArgMining 2023 will follow the ACL policies for preserving the integrity of double-blind review for long and short paper submissions. Papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. ANONYMITY PERIOD (taken from the EMNLP call for papers in verbatim for the most part) The following rules and guidelines are meant to protect the integrity of double-blind review and ensure that submissions are reviewed fairly. The rules make reference to the anonymity period, which runs from 1 month before the direct submission deadline (starting August 1, 2023) up to the date when your paper is accepted or rejected (October 7, 2023). For papers committed from ARR, the anonymity period starts August 15, 2023. Papers that are withdrawn during this period will no longer be subject to these rules. You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. Versions of the paper include papers having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length. If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the programme chairs that a non-anonymized version exists. You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period. You may make an anonymized version of your paper available (for example, on OpenReview), even during the anonymity period. For arXiv submissions, August 1, 2023 11:59pm UTC-12h (anywhere on earth) is the latest time the paper can be uploaded if you plan a direct submission to the workshop (or August 15, 2023 for papers from ARR committed to the workshops on September 15, 2023). BEST PAPER AWARDS In order to recognize significant advancements in argument mining science and technology, ArgMining 2023 will include best paper awards. All papers at the workshop are eligible for the best paper awards and a selection committee consisting of prominent researchers in the fields of interest will select the recipients of the awards. SHARED TASKS (Submission closed!) We will be hosting two shared tasks this year: - ImageArg-Shared-Task-2023: The First Shared Task in Multimodal Argument Mining - PragTag-2023: The First Shared Task on Pragmatic Tagging of Peer Reviews ArgMining 2023 ORGANIZING COMMITTEE Milad Alshomary, Leibniz University Hannover, Germany Chung-Chi Chen, National Institute of Advanced Industrial Science and Technology, Japan Smaranda Muresan, Columbia University, USA Joonsuk Park, University of Richmond, USA Julia Romberg, Heinrich Heine University of Duesseldorf, Germany

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FinCausal 2023: Training set released (English & Spanish)
by FinCausal 2023 11 Aug '23

11 Aug '23

*FinCausal 2023: Financial Document Causality Detection* We are glad to announce that the Training Dataset for both English and Spanish is released and ready on Codalab in this link: https://codalab.lisn.upsaclay.fr/competitions/14596 Please register on CodaLab and get to the FInCausal.2023 Competition. Under Participate, you will find the Training Datasets together with a Starting Kit to guide you through the Task. ###### *Task Description and Important Links *####### *FinCausal-2023 Shared Task: “Financial Document Causality Detection” *is organised within the *5th Financial Narrative Processing Workshop (FNP 2023)* taking place in the 2023 IEEE International Conference on Big Data (IEEE BigData 2023) <http://bigdataieee.org/BigData2023/>, Sorrento, Italy, 15-18 December 2023. It is a *one-day event*. Workshop URL: https://wp.lancs.ac.uk#####cfie/fincausal2023/ <https://wp.lancs.ac.uk/cfie/fincausal2023/> ###### *Additional Information *####### *Shared Task Description:* Financial analysis needs factual data and an explanation of the variability of these data. Data state facts but need more knowledge regarding how these facts materialised. Furthermore, understanding causality is crucial in studying decision-making processes. The *Financial Document Causality Detection Task* (FinCausal) aims at identifying elements of cause and effect in causal sentences extracted from financial documents. Its goal is to evaluate which events or chain of events can cause a financial object to be modified or an event to occur, regarding a given context. In the financial landscape, identifying cause and effect from external documents and sources is crucial to explain why a transformation occurs. Two subtasks are organised this year. *English FinCausal subtask *and* Spanish FinCausal subtask*. This is the first year where we introduce a subtask in Spanish. *Objective*: For both tasks, participants are asked to identify, given a causal sentence, which elements of the sentence relate to the cause, and which relate to the effect. Participants can use any method they see fit (regex, corpus linguistics, entity relationship models, deep learning methods) to identify the causes and effects. *English FinCausal subtask* - *Data Description: *The dataset has been sourced from various 2019 financial news articles provided by Qwam, along with additional SEC data from the Edgar Database. Additionally, we have augmented the dataset from FinCausal 2022, adding 500 new segments. Participants will be provided with a sample of text blocks extracted from financial news and already labelled. - *Scope: *The* English FinCausal subtask* focuses on detecting causes and effects when the effects are quantified. The aim is to identify, in a causal sentence or text block, the causal elements and the consequential ones. Only one causal element and one effect are expected in each segment. - *Length of Data fragments: *The* English FinCausal subtask* segments are made up of up to three sentences. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context regarding a previous situation. So, the task will emphasise the detection of causality associated with the transformation of financial objects embedded in quantified facts. *Spanish FinCausal subtask* - *Data Description: *The dataset has been sourced from a corpus of Spanish financial annual reports from 2014 to 2018. Participants will be provided with a sample of text blocks extracted from financial news, labelled through inter-annotator agreement. - *Scope: *The *Spanish FinCausal subtask* aims to detect all types of causes and effects, not necessarily limited to quantified effects. The aim is to identify, in a paragraph, the causal elements and the consequential ones. Only one causal element and one effect are expected in each paragraph. - *Length of Data fragments: *The *Spanish FinCausal subtask* involves complete paragraphs. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with both events or quantified facts. For this task, a cause can be the justification for a statement or the reason that explains a result. This task is also a relation detection task. Best regards, FinCausal 2023 Team

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[CfP] DBpedia Day @ SEMANTiCS on Sep 20
by DBpedia 11 Aug '23

11 Aug '23

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Postdoc position in Cambridge (deadline 15/9)
by A. Vlachos 10 Aug '23

10 Aug '23

Dear all, We are looking for a Research Assistant/Associate to work on the project Automated Verification of Textual Claims (AVeriTeC), an ERC project led by Prof. Andreas Vlachos at the University of Cambridge starting in January 2024 or as soon as possible thereafter. The position is for two years. The successful candidate will be based in the Natural Language and Information Processing group (http://www.cl.cam.ac.uk/research/nl/) at the Department of Computer Science and Technology. The project focuses on developing approaches enabling the verification of highly complex claims, which require multiple pieces of evidence. Special focus will be paid to accompanying the verdicts with suitable justifications. Candidates will have completed a Ph.D. (or be close to completing it) in a relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications. Essential skills include excellent programming (Python), NLP techniques, Machine Learning, and proven communication skills. Appointment at research associate level is dependent on having a PhD or having equivalent skills and experience through non-academic routes. Where a PhD has yet to be awarded appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded. Enquiries concerning this position should be directed to Prof. Andreas Vlachos (av308(a)cam.ac.uk), and applicants are encouraged to contact him regarding the position. Apply using this link: https://www.jobs.cam.ac.uk/job/42366/ Thanks, Andreas

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Free event: 22 September - Business and Professional Communication
by Brezina, Vaclav 10 Aug '23

10 Aug '23

Dear all, We are organising a free hybrid event (online and in person): Language Data Analysis for Business and Professional Communication. It will take place on 22 September 2023 10:00 - 15:30 UK time. More details and registration: https://cass.lancs.ac.uk/mycalendar-events/?event_id1=3470 The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers a practical training workshop focused on computational analysis of language data for businesses and professional organisations and anyone interested in communication in professional contexts. The data includes social media, newspapers, business reports, marketing materials and other data sources. The workshop will introduce a new software tool #LancsBox X<https://lancsbox.lancs.ac.uk/> developed at Lancaster University, which can analyse and visualise large amounts of language data (millions and billions of words). Practical examples of uses of #LancsBox X (case studies) will be provided. Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:02038f34-9006-4e55-866f-0bc6e77964ba]@vaclavbrezina [cid:30848364-59cf-4561-a71f-9c3e4ac4519c]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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[FinNLP@IJCNLP-AACL-2023] Call for Paper & ML-ESG-2 Shared Task
by CHUNG-CHI CHEN 10 Aug '23

10 Aug '23

Dear Colleagues, I'm delighted to share that The 6th Workshop on Financial Technology and Natural Language Processing (FinNLP) will be collocated with IJCNLP-AACL-2023 (http://www.ijcnlp-aacl2023.org/) in Bali, Indonesia (November 1–4). The submission due for the main track paper is *Sep. 8th, 2023*. For more details, please refer to the website: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/home We continue the *ML-ESG shared task* in FinNLP, and share new labels related to Impact Type Identification. You can also get more details about the shared task on the FinNLP website. The Registration Form is ready: https://forms.gle/j6gL5jy1upq5LrKY9 Participants in previous FinNLP share various insights into NLP in FinTech applications. Please refer to past years' proceedings for more details: https://aclanthology.org/venues/finnlp/ Feel free to let us know if you have any questions. Looking forward to seeing you at the 6th FinNLP. Best Regards, Chung-Chi --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org <cjchen(a)nlg.csie.ntu.edu.tw> Website: http://cjchen.nlpfin.com

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Arizona Linguistic Circle 17 -Collaborative work in Linguistics: Communities and Societies
by heather froehlich 09 Aug '23

09 Aug '23

Dear all, Forwarding on behalf of the Arizona Linguistics Circle 17 (ALC 17) <https://sites.google.com/view/arizonalinguisticscircle17/home?authuser=3> committee: We are happy to announce the 17th annual ALC conference which will take place Halloweekend🎃 (October 27 to 29, 2023) at the University of Arizona in Tucson, Arizona. The theme for the conference is "Collaborative work in Linguistics: Communities and Societies." We welcome graduate students, undergraduate students, and language workers in communities to submit a proposal. In the coming weeks we will announce our invited plenary speakers for ALC 17. Please see below for the Call for Papers which can also be found via this <https://easychair.org/cfp/ALC17>EasyChair <https://easychair.org/cfp/ALC17> link. Arizona Linguistics Circle 17 Collaborative work in Linguistics: Communities and Societies University of Arizona Tucson, Arizona October 27 to 29, 2023 Keynote Speakers: TBA Call for Papers Submissions We are pleased to invite talk proposals for Arizona Linguistics Circle 17 (ALC 17) <https://sites.google.com/view/arizonalinguisticscircle17/home?authuser=3>. ALC 17 is an annual graduate student-run conference held at the University of Arizona. Our goal is to foster a deeper appreciation for linguistics while providing a healthy environment for academic discussion, especially as it concerns graduate student research. The theme of this year’s conference is Collaborative work in Linguistics, that is the ways in which we have worked to adapt to the unique challenges of a pandemic, found new ways to conduct research remotely, and made ethical considerations in using different modalities. However, abstracts from all areas of linguistics are welcome and encouraged. This year, we plan to conduct a hybrid conference, with both in-person and remote aspects (see Covid contingency) Abstract Guidelines: - Abstract may not exceed 500 words (not including keywords, references, figures, and tableaux) - Presentations will consist of 20-minute talks with 10-minute Q&A - Authors are limited to one individual and one joint abstract (not including workshop submissions) - Only anonymized submissions will be accepted - Abstract submission deadline Friday, September 1, 2023 Abstract submission is via EasyChair <https://easychair.org/cfp/ALC17>. For questions regarding abstract submission, please contact the abstract review manager at azlingcircle17(a)gmail.com. Notification of acceptance will be sent in late August. Proceedings Presenters will be invited to submit their paper for publication in Coyote Papers <https://coyotepapers.sbs.arizona.edu/>, the conference proceedings for ALC. Call for Workshop Submissions We are also inviting proposals for one- to two-hour long workshops on the theme of Collaborative work in Linguistics within the realm of experimentation, fieldwork, and data collection. Example workshops include, but are not limited to, improving sound quality in remote fieldwork, getting the most from online crowdsourcing or experimentation platforms, setting up remote speech collection experiments, and more. Workshop submissions from students are especially welcome. Workshop abstracts may not exceed 500 words and must include a title, detailed description (topic, format, length, and content), technical prerequisites (hardware, software, or platforms), applicant's areas of expertise, and why the workshop would be of interest to ALC attendees. Workshop abstracts are submitted on EasyChair and do not count towards the limit on paper abstract submissions. Authors of accepted workshops will be offered modest honoraria. Covid contingency Our plan is to enjoy an in-person conference. However, we might consider a hybrid conference, such that presenters will have the option to present in-person or remotely. This way, both domestic and international presenters will have the opportunity to deliver their presentations regardless of the Covid situation or vaccine availability of their location. We will also have a contingency plan to move the conference to a virtual format if Arizona is undergoing a significant Covid outbreak at the time of the conference. Please let us know if you have any questions via email: azlingcircle17(a)gmail.com. We look forward to sharing more information with you over the coming months as we prepare for ALC 17. Attentively, Jesús E. González Franco (ALC 17 co-chair) -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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3rd Artificial Intelligence for Industry, Science, and Society: Geneva, 11 to 15 September 2023
by Douglas Teodoro 09 Aug '23

09 Aug '23

Hello, We are pleased to announce that the University of Geneva will be hosting the 3rd Symposium on Artificial Intelligence for Industry, Science, and Society (AI2S2) from 11 to 15 September 2023, at Campus Biotech, Geneva. *Both in-person and remote-only registration are free*; registration closes soon, thus we encourage you to register ASAP if you intend to participate. We will be welcoming several renowned experts from each of the event pillars (industry, science, and society), and have an exciting schedule covering a wide variety of topics of interest to the community, including keynote presentations from the following experts: - *Alistair Knott*, Professor of AI; Victoria University of Wellington - *Andrew Wyckoff*, Former Director for Science, Technology, and Innovation; OECD - *Ger Janssen*, Principal Scientist for AI & Data Science & Digital Twin; Philips - *I**nma Martinez*, Chair of the Multi-Stakeholder Committee; GPAI - *Juha Heikkilä*, International Advisor for AI; European Commission - *Laure Soulier*, Professor HDR-ISIR Lab; Sorbonne University - *Maria Girone*, Head of OpenLab; CERN - *Michael Bronstein*, DeepMind Professor of AI; Oxford University - *Philippe Limantour*, Chief Technology and Cybersecurity Officer; Microsoft France - *Stephen MacFeely*, Director of Data and Analytics; World Health Organisation You can find more information about the event at the following links: - Main event website: https://ai2s2.org/2023/ - Event timetable/agenda: https://ai2s2.org/2023/event/ - Registration (in person): link <https://indico.cern.ch/event/1288077/page/29800-general-registration> - Registration (remote only): link <https://indico.cern.ch/event/1288077/page/29802-remote-registration> We hope to see many of you next month! Best regards, The AI2S2 2023 organisers

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Call for Submission: ACM Multimedia 2023 Workshop On Generative AI And Multimodal LLM For Finance (GenAI4Finance)
by puneetm＠umd.edu 09 Aug '23

09 Aug '23

Hi all, Announcing the ACM Multimedia 2023 Workshop On Generative AI And Multimodal LLM For Finance (GenAI4Finance). Looking forward to receiving exciting submissions on the broad theme of algorithms and applications of Generative AI (Diffusion Models, GANS, LLMs, Transformers, ChatGPT, Opensource LLMs, etc) in Finance! Paper deadline: Aug 10 '23 Website: https://generativeai4finance-mm23.github.io/ Papers accepted at the conference will be published in ACM proceedings and presented at ACM MM in Ottawa, Canada. Remote as well as in-person presentations are allowed! Jointly organized by researchers from the University of Maryland Georgia Institute of Technology Adobe MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) and The Philipp University of Marburg. CALL FOR PAPERS: About The GenAI4Finance Workshop Trading and investments in financial markets are useful mechanisms for wealth creation and poverty alleviation. Financial forecasting is an essential task that helps investors make sound investment decisions. It can assist users in better predicting price changes in stocks and currencies along with managing risk to reduce chances of adverse losses and bankruptcies. The world of finance is characterized by millions of people trading numerous assets in complex transactions, giving rise to an overwhelming amount of data that can indicate the future direction of stocks, equities, bonds, currencies, crypto coins, and non-fungible tokens (NFTs). Traditional statistical techniques have been extensively studied for stock market trading in developed economies. However, these techniques hold less relevance with rising automation in trading, the interconnected nature of the economies, and the advent of high-risk, high-reward cryptocurrencies and decentralized financial products like NFTs. Today, the world of finance has been brought ever closer to technology as technological innovations become a core part of financial systems. Hence, there is a need to systematically analyze how advances in Generative Artificial Intelligence and Large Language Modeling can help citizen investors, professional investment companies and novice enthusiasts better understand the financial markets. Relevance Of Multimodal LLMs And Generative AI In Finance The biggest hurdle in processing unstructured data through LLMs like ChatGPT, GPT-3.5, Multimodal GPT-4, PaLM, and others is their opaque nature that they learn from large internet-sized corpora. Lack of understanding of what, when, and how these models can be utilized for financial applications remains an unsolved problem. While these models have shown tremendous success in NLP and document processing tasks, their study on financial knowledge has been very limited. The difficulty in automatically capturing real-time stock market information by these LLMs impedes their successful application for traders and finance practitioners. The learning abilities of LLMs on streaming news sentiment expressed through different multimedia has been barely touched upon by researchers in finance. Artificial Intelligence based methods can help bridge that gap between the two domains through inter-sectional studies. Even though there have been scattered studies in understanding these challenges, there is a lack of a unified forum to focus on the umbrella theme of generative AI + multimodal language modeling for financial forecasting. We expect this workshop to attract researchers from various perspectives to foster research on the intersection of multimodal AI and financial forecasting. We also plan to organize one shared task to encourage practitioners and researchers to gain a deeper understanding of the problems and come up with novel solutions. Topics: This workshop will hold a research track and a shared task. The research track aims to explore recent advances and challenges of Multimodal Generative LLMs for finance. Researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, optimization, and other fields are invited to submit papers on recent advances, resources, tools, and challenges on the broad theme of Multimodal AI for finance. The topics of the workshop include but are not limited to the following: Generative AI applications in finance LLM evaluation for finance Fine-tuning LLMs for finance Pre-training strategies for Financial LLMs Retrieval augmentations for interpretable finance Hallucinations in Financial LLMs and Generative AI Machine Learning for Time Series Data Audio-Video Processing for Financial Unstructured Data Processing text transcript with audio/video for audio-visual-textual alignment, information extraction, salient event detection, entity linking Conversational dialogue modeling using LLMs Natural Language Processing Applications in Finance Named-entity recognition, relationship extraction, ontology learning in financial documents Multimodal financial knowledge discovery Data construction, acquisition, augmentation, feature engineering, and analysis for investment and risk management Bias analysis and mitigation in financial LLMs and datasets Interpretability and explainability for financial Generative AI models and Multimodal LLMs Privacy-preserving AI for finance Video understanding of financial multimedia Vision + language and/or other modalities Time series modeling for financial applications Important Dates - June 1, 2023: ACM MM 2023 Workshop Website Open - August 10, 2023: Submission Deadline - August 15, 2023: Paper notification - August 18, 2023: Camera-Ready Deadline All deadlines are “anywhere on earth” (UTC-12) Submission: Authors are invited to submit their unpublished work that represents novel research. The papers should be written in English using the ACM Multimedia-23 author kit and follow the ACM Multimedia 2023 formatting guidelines. Authors can also submit supplementary materials, including technical appendices, source codes, datasets, and multimedia appendices. All submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to ACM Multimedia 2023 call for papers page. Reviewing: At least two reviewers with matching technical expertise will review each paper. Each paper should be accompanied by one workshop registration. Multiple submissions of the same paper to more ACM Multimedia-2023 workshops are forbidden. All papers will be double-blind peer-reviewed. The workshop accepts both long papers and short papers: Short Paper: Up to 4 pages of content, plus unlimited pages for references and appendix. Upon acceptance, the authors are provided with 1 more page to address the reviewer's comments. Long Paper: Up to 8 pages of content, plus unlimited pages for references and appendix. Upon acceptance, the authors are provided with 1 more page to address the reviewer's comments. Two reviewers with the same technical expertise will review each paper. Authors of the accepted papers will present their work in either the Oral or Poster session. All accepted papers will appear in the workshop proceedings to be published in ACM Multimedia 2023 proceedings. The authors will keep the copyright of their published papers. The paper must be submitted using EasyChair (https://easychair.org/my/conference?conf=genai4finance).

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[JOBS] PhD and permanent Postdoc positions in Argumentation
by Jacky Visser (Staff) 08 Aug '23

08 Aug '23

In addition to advertising a permanent postdoctoral research position (see arg.tech/2023PDRA01<http://arg.tech/2023PDRA01>, deadline 14 August 2023) the Centre for Argument Technology is now also opening a call for applications for fully-funded PhD studentships. Applications are invited across the full range of interdisciplinary research in the Centre, with more details available at arg.tech/2023PHD01<http://arg.tech/2023PHD01>. Closing date for the PhD studentships is 23 September 2023. The University of Dundee is a registered Scottish Charity, No: SC015096

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math and language/text data (continued from thread "Re: Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...")
by Ada Wan 08 Aug '23

08 Aug '23

[resending since it looked like my reply bounced due to size of thread] ---------- Forwarded message --------- From: Ada Wan <adawan919(a)gmail.com> Date: Mon, Aug 7, 2023 at 3:46 PM Subject: Re: [Corpora-List] Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ... To: Anil Singh <anil.phdcl(a)gmail.com> Cc: Hesham Haroon <heshamharoon19(a)gmail.com>, corpora < corpora(a)list.elra.info> Hi Anil Just a couple of quick points for now: 1. re encoding etc.: I know how involved and messy this "encoding" and "clean-up" issues are/were and could be for the non-ASCII world. I wish people who work on multilngual NLP and/or language technologies would give these issues more attention. [Iiuc, these intros cover the standardized bit from Unicode (also good for other viewers at home, I mean, readers of this thread :) ): https://www.unicode.org/notes/tn10/indic-overview.pdf https://www.unicode.org/faq/indic.html] Re "there is still no universally accepted way to actually use these input methods" and "Most Indians, for example, on social media and even in emails type in some pseudo-phonetic way using Roman letters with the QWERTY keyboard": actually this is true in many other parts of the non-ASCII world. Even in DE and FR, one has "gotten used to" circumventing the ASCII-conventions with alternate spellings, e.g. spelling out umlauts, dropping the accents.... Between i) getting people to just use script the "standardized way" and ii) weaning people from wordhood --- I wonder which would be harder. :) But I regard i) as a vivid showcase of human creativity, I don't think there is anything to "correct". As with ii), it could be interpreted as baggage accompanying "ASCII-centrism". Language is (re-)productive in nature anyway, there will always be novel elements or ways of expression that could be ahead of standardization. I don't think we should dictate how people write or express themselves digitally (by asking them to adhere to standards or grammar), but, instead, we (as technologists) should use good methods and technologies to deal with the data that we have. (N.B. one doesn't write in "words". One just writes. "Word count" is arbitrary, but character count is not --- unless one is in charge of the lower-level/technical design of such.) For text-based analyses with "non-standard varieties or input idiosyncrasies", I suppose one would just have to have good methods in order to extract information from these (if so wished). (Btw, iiuc, you are also of the opinion that there isn't much/anything else to work on as far as character encoding for scripts usually used in India or standardization on this front is concerned, correct? If not, please let it be known here. I bet/hope some Unicode folks might be on this thread?) 2. Re word and morphology: I suppose what I am advocating is that not only is there really no word (whatever that means etc.), there is also no morphology --- not as something intrinsic in language nor as a science. I understand that this can be hard to accept for those of us who have had a background in Linguistics or many language-related areas, because morphology has been part of an academic discipline for a while. But the point is that morphological analyses are really just some combination of post-hoc analyses based on traditional philological practices and preferences (i.e. ones with selection bias). It is not a universal decomposition method. 3. Re "but ... Sometimes it is wise to be silent": I'm afraid I'd have to disagree with you here. Before my experiences these past years, I had never wanted to be "famous"/"infamous". I had just wanted to work on my research. But in the course of these few difficult years, I realized part of the "complexity" lied in something that might have had made my whole life and my "(un-)career"/"atypical career path" difficult --- our language interpretation and our community's/communities' attitudes towards language (again, whatever "language" means!). 4. Re grammar: much of my "'no grammar' campaign" comes from my observation that many people seem to have lost it with language. The "word"/"grammar"-hacking phenomena, esp. in Linguistics/CL/NLP, exacerbate, otoh, our dependency on grammar, otoh, that on words --- when neither of these is real or necessary. And then the more I see these people advertising their work on social media, the more likely it is for them to misinform and influence others (may these be the general public or computer scientists who do not have much of a background in language or in the science of language), warping the their relationship with language. (The results of my resolving "morphological complexity" in "Fairness in Representation" could have been hard to experience for some.) Re "I don't say it is necessary, but I see it as one possible model to describe language": Ok, to this "grammar is useful" argument: esp. considering how grammar and linguistics (as a subject) both suffered from selection bias, and both have some intrinsic problems in their approach with "judgments", even if such models might work sometimes in describing some data, I don't think it'd be ethical to continue pursuing/developing grammatical methods. When dealing with texts, character n-grams (based on actual data!!)** and their probabilities should suffice as a good description --- insofar as one actually provides a description. There is no need to call it "grammar". It just invokes tons of unnecessary dependencies. **And when over time and across datasets, one is able to generalize truths (may these be for language/communication/information/computation/mathematics/...) from these statistical accounts that hold, then there is a potential for good theories. But as of now, even in Linguistics, there is still a tendency to cherry-pick, in e.g. discarding/disregarding whitespaces. And esp. considering how little data (as in, so few good/verified datasets) we have in general, there is still quite some work to do for all when it comes to good data scientific theories. Re "which can be useful for some -- like educational -- purposes if used in the right way": how grammar has been too heavily used in education is more of an ailment than a remedy or healthy direction. I think the only way for grammar to survive is to regard it as "style guides". Re "particularly with non-native speakers of English ... sometimes your patience is severely tested": to that: yes, I understand/empathize, but no --- in that we ought to change how writing/language is perceived. Depending on the venue/publication, I think sometimes we ought to relax a bit with other's stylistic performance. The "non-native speakers of X" has been a plague in Linguistics for a while now. We have almost paved our way to some next-gen eugenics with that. Most of us on this mailing list are not submitting to non-scientific literary publications, I'd prefer better science and content to better writing styles at any time. Re "magic": I think sometimes I do get some "magical" results with higher-dimensional models. So there is some "magic" (or ((math/truths)+data)? :) ) that is not so obvious. That, I am always glad to look further into. Best Ada On Sat, Aug 5, 2023 at 6:26 PM Anil Singh <anil.phdcl(a)gmail.com> wrote: > On Sat, Aug 5, 2023 at 6:56 PM Ada Wan <adawan919(a)gmail.com> wrote: > >> Hi Anil >> >> Thanks for your comments. (And thanks for reading my work.) >> >> Yeah, there is a lot that one has to pay attention to when it comes to >> what "textual computing" entails (and to which extent it "exists"). Beyond >> "grammar" definitely. But experienced CL folks should know that. (Is this >> you btw: https://scholar.google.com/citations?user=QKnpUbgAAAAJ? >> > > Yes, that's me, for the better or for the worse. > > >> If not, do you have a webpage for your work? Nice to e-meet you either >> way!) >> >> > Thank you. > > Re "I know first hand the problems in doing NLP for low resource languages >> which are related to text encodings": >> which specific languages/varieties are you referring to here? If the >> issue lies in the script not having been encoded, one can contact SEI about >> it (https://linguistics.berkeley.edu/sei/)? I'm always interested in >> knowing what hasn't been encoded. Are the scripts on this list ( >> https://linguistics.berkeley.edu/sei/scripts-not-encoded.html)? >> >> > Well, that's a long story. It is related to the history of adaptation of > computers by the public at large in India. The really difficult part is not > about scripts being encoded. Instead, it is about a script being > over-encoded or encoded in a non-standard way. And the lack of adoption of > standard encodings and input methods. Just to give one example, even though > a single encoding (called ISCII) for all Brahmi-origin scripts of India was > created officially, most people were unaware of it or didn't use it for so > many reasons. One major reason being that it was not supported on Operating > Systems, including Windows (which was anyway developed many years after > creation of ISCII). Input methods and rendering engines for it were not > available. You had to have a special terminal to use it, but that was text > only terminal, used mainly in research centers and perhaps for some very > limited official purposes. And computers, as far as the general public was > concerned, were most commonly used for DeskTop Publishing (which became > part of Indian languages as "DTP"). These non-standard encodings were > mainly font-encodings, just to enable proper rendering of text for > publishing. One of the most popular 'encodings' was based on the Remington > typewriter for Hindi. Another was based on mostly phonetic mapping from > Roman to Devanagari. Other languages which did not use Devanagari also had > their own non-standard encodings, often multiple encodings. The reason > these became popular was that they enabled people to type in Indian > languages and see the text rendered properly, since no other option was > available and they understandably didn't really care about it being > standard or not. It wasn't until recently that Indic scripts were properly > supported by any OS's. It is possible that even now, when Unicode is > supported on most OS's and input methods are available as part of OS's, > there are people still using non-standard encodings. Even now, you can come > across problems related to either input methods or rendering for Indic > scripts on OS's. And most importantly, there is still no universally > accepted way to actually use these input methods. Most Indians, for > example, on social media and even in emails type in some pseudo-phonetic > way using Roman letters with the QWERTY keyboard. Typing in Indian > languages using Indic scripts is still a specialized skill. > > The result of all this is that when you try to collect data for low > resource languages, including major languages of India, there may be a lot > of data -- or perhaps even all the data, depending on the language -- which > is in some non-standard ad-hoc encoding which has non-trivial mapping with > Unicode. This is difficult partly because non-standard encodings are often > based on glyphs, rather than actual units of the script. So, to be able to > use it you need a perfect encoding converter to get the text in Unicode > (UTF-8). Such converters have been there for a long time, but since they > were difficult to create, they were/are proprietary and not available even > to researchers in most cases. It seems a pretty good OCR system has been > developed for Indic scripts/languages, but I have not yet had the chance to > try it. > > For example, I am currently (for the last few years) working on Bhojpuri, > Magahi and Maithili. When we tried to collect data for these languages, > there was the same problem, which is actually not really a problem for the > general public because their purpose is served by these non-standard > encodings, but for NLP/CL you face difficulty in getting the data in a > usable form. > > This is just a brief overview and I also don't really know the full extent > of it, in the sense that I don't have a comprehensive list of such > non-standard encodings for all Indic scripts. > > >> Re the unpublished paper (on a computational typology of writing >> systems?): >> when and to where (as in, which venues/publications) did you submit it? >> I remember one of my first term papers from the 90s being on the >> phonological system of written Cantonese (or sth like that --- don't >> remember my wild days), the prof told me it wasn't "exactly linguistics"... >> >> I had submitted to the journal Written Language and Literacy in 2009. It > was actually mostly my mistake that I didn't submit a revised version of > the paper as I was going through a difficult period then. > > >> Re "on building an encoding converter that will work for all 'encodings' >> used for Indian languages": >> this sounds interesting! >> >> > Yes, I still sometimes wish I could build it. > > >> Re "I too wish there was a good comprehensive history text encodings, >> including non-standard ad-hoc encodings": >> what do you mean by that --- history of text encodings or historical text >> encodings? >> After my discoveries from recent years, when my "mental model" towards >> what's been practiced in the language space (esp. in CL/NLP) finally >> *completely *shifted, I had wanted to host (or co-host) a tutorial on >> character encoding for those who might be under-informed on the matter >> (including but not limited to the "grammaroholics" (esp. the CL/NLP >> practitioners who seem to be stuck doing grammar, even in the context of >> computing) --- there are so many of them! :) ) >> >> > I mostly meant the non-standard 'encodings' (really just ad-hoc mappings) > to serve someone's current purpose. To fully understand the situation, you > have to be familiar with social-political-economic-etc. aspects of the > language situation in India. > > >> Re "word level language identification": >> I don't do "words" anymore. In that 2016 TBLID paper of mine, I >> (regrettably) was still going with the flow in under-reporting on >> tokenization procedures (like what many "cool" ML papers did). But "words" >> do certainly shape the results! I'm really forward to everyone working with >> full-vocabulary, pure character or byte formats (depending on the task), >> while being 100% aware of statistics. Things can be much more transparent >> and easily replicable/reproducible that way anyway. >> >> > Well, I used the word 'word' as just a shorthand for space separated > segments. In my PhD thesis, I had also argued against word being the unit > of computational processing or whatever you call it. I had called the unit > Extra-Lexical Unit, consisting of a core morpheme and inflectional parts. I > realize now that even that may not necessarily work for languages with > highly fusional morphology. But, something like this is now the preferred > unit of morphological processing, as in the CoNLL shared tasks and > UniMorph. I also realize that I could not have been the first to come to > this conclusion. > > >> Re "We have to be tolerant of what you call bad research for various >> unavoidable reasons. Research is not what it used to be": >> No, I think one should just call out bad research and stop doing it. I >> wouldn't want students to burn their midnight oil working hard for nothing. >> Bad research warps also expectations and standards, in other sectors as >> well (education, healthcare, commerce... etc.). Science, as in the pursuit >> of truth and clarity, is and should be the number 1 priority of any decent >> research. (In my opinion, market research or research for marketing >> purposes should be all consolidated into one track/venue if they lack >> scientific quality.) I agree research is not what it used to be --- but in >> the sense that the quality is much worse in general, much hacking around >> with minor, incremental improvements. Like in the case of "textual >> computing", people are "grammar"-hacking. >> >> > I completely agree with you, but ... Sometimes it is wise to be silent. > > >> Re *better ... gender representation": >> hhmm... I'm not so sure about that. >> >> > You are a better judge of that. I just shared my opinion, which may not be > completely free from bias, although I do try. > > >> Re "About grammar, I have come to think of it as a kind of language model >> for describing some linguistic phenomenon": >> nah, grammar not necessary. >> >> > I don't say it is necessary, but I see it as one possible model to > describe language, which can be useful for some -- like educational -- > purposes if used in the right way. > > >> Re grammaroholic reviewers: >> yeah, there are tons of those in the CL/NLP space. I think many of them >> are only willing and/or able to critique on grammar. Explicit is that it >> shows that they don't want to check one's math and code --- besides, when >> most work on "words" anyway, there is a limit to how things are >> replicable/reproducible, esp. if on a different dataset. The implicit bit, >> however, is that I think there is some latent intent to introduce/reinforce >> the influence of "grammar" into the computing space. That, I do not agree >> with at all. >> >> > I should confess that I sometimes am guilty of that (pointing out > grammatical mistakes) myself. However, the situation is complicated in > countries like India due to historical and other reasons. I think the > papers should at least be in a condition that they can be understood > roughly as intended. This may not always be the case, particularly with > non-native speakers of English, or people who are not yet speakers/writers > of English at all. Now, perhaps no one knows better than myself that it is > not really their fault completely, but as a reviewer, sometimes your > patience is severely tested. > > >> Re "magic": >> yes, once one gets over the hype, it's just work. >> >> > True, but what I said is based on where I am coming from (as in, to this > position), which will take a really long time to explain. Of course, I > don't literally mean magic. > > Re "I have no experience of field work at all and that I regret, but it is >> partly because I am not a social creature": >> one can be doing implicit and unofficial "fieldwork" everyday if one pays >> attention to how language is used. >> >> > That indeed I do all the time. I meant official fieldwork. >

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Call For Participation: Machine Translation for Indian Languages (MTIL)
by Surupendu Gangopadhyay 08 Aug '23

08 Aug '23

Apologies for multiple posting *********************************** *------------------------------------------------------------------------------------------------Machine Translation for Indian Languages (MTIL) 2023------------------------------------------------------------------------------------------------* We invite all IR and NLP researchers and enthusiasts to participate in the MTIL track (https://mtilfire.github.io/mtil/2023/) held in conjunction with the Forum for Information Retrieval Evaluation (FIRE) 2023 ( http://fire.irsi.res.in/). Indian languages have many linguistic complexities. Though some Indian languages share syntactic similarities, some possess intricate morphological structures. At the same time, some Indian languages are low-resource. Therefore the machine translation models should address these unique challenges in translating between Indian languages. The MTIL track consists of two tasks: 1. *General Translation Task (Task 1):* Task participants should build a machine translation model to translate sentences of the following language pairs: 1. Hindi-Gujarati 2. Hindi-Kannada 3. Kannada-Hindi 4. Hindi-Odia 5. Odia-Hindi 6. Hindi-Punjabi 7. Punjabi-Hindi 8. Hindi-Sindhi 9. Urdu-Kashmiri 10. Telugu-Hindi 11. Hindi-Telugu 12. Urdu-Hindi 13. Hindi-Urdu 2. *Domain Specific Translation Task (Task 2)*: Task participants will build machine translation models for Governance and Healthcare domains. 1. Healthcare: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi 2. Governance: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi *Dataset:* The primary source of parallel language pairs is Bharat Parallel Corpus Collection (BPCC), released by AI4Bharat (https://ai4bharat.iitm.ac.in/bpcc ). Participants are encouraged to add datasets of their choice, including parallel corpora and monolingual datasets, to train their models. More information on registration and participation in the track can be found here: https://mtilfire.github.io/mtil/2023/ This track is being done in association with BHASHINI ( https://bhashini.gov.in/) *Organisers* - Prasenjit Majumder, DAIICT Gandhinagar,India and TCG CREST, Kolkata,India - Arafat Ahsan, IIIT-Hyderabad,India - Asif Ekbal, IIT-Patna,India - Saran Pandian, DAIICT Gandhinagar,India - Ramakrishna Appicharla, IIT-Patna ,India - Surupendu Gangopadhyay, DAIICT Gandhinagar,India - Ganesh Epili, DAIICT Gandhinagar,India - Dreamy Pujara, DAIICT Gandhinagar,India - Misha Patel, DAIICT Gandhinagar,India - Aayushi Patel, DAIICT Gandhinagar,India - Bhargav Dave, DAIICT Gandhinagar,India - Mukesh Jha, DAIICT Gandhinagar,India

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CfP: LREC-COLING 2024 (Torino)
by Enrico Santus 07 Aug '23

07 Aug '23

Call for Papers [https://lrec-coling-2024.org/2nd-call-for-papers/] Two international key players in the area of computational linguistics, the ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), are joining forces to organize the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on 20-25 May, 2024. IMPORTANT DATES (All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) - 22 September 2023: Paper anonymity period starts - 13 October 2023: Final submissions due (long, short and position papers) - 13 October 2023: Workshop/Tutorial proposal submissions due - 22–29 January 2024: Author rebuttal period - 5 February 2024: Final reviewing - 19 February 2024: Notification of acceptance - 25 March 2024: Camera-ready due - 20-25 May 2024: LREC-COLING2024 conference SUBMISSION TOPICS LREC-COLING 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of natural language and computation, language resources (LRs) and evaluation, including spoken and sign language and multimodal interaction. Submissions are invited in five broad categories: (i) theories, algorithms, and models, (ii) NLP applications, (iii) language resources, (iv) NLP evaluation and (v) topics of general interest. Submissions that span multiple categories are particularly welcome. (I) Theories, algorithms, and models - Discourse and Pragmatics - Explainability and Interpretability of Large Language Models - Language Modeling - CL/NLP and Linguistic Theories - CL/NLP for Cognitive Modeling and Psycholinguistics - Machine Learning for CL/NLP - Morphology and Word Segmentation - Semantics - Tagging, Chunking, Syntax and Parsing - Textual Inference (II) NLP applications - Applications (including BioNLP and eHealth, NLP for legal purposes, NLP for Social Media and Journalism, etc.) - Dialogue and Interactive Systems - Document Classification, Topic Modeling, Information Retrieval and Cross-Lingual Retrieval - Information Extraction, Text Mining, and Knowledge Graph Derivation from Texts - Machine Translation for Spoken/Written/Sign Languages, and Translation Aids - Sentiment Analysis, Opinion and Argument Mining - Speech Recognition/Synthesis and Spoken Language Understanding - Natural Language Generation, Summarization and Simplification - Question Answering - Offensive Speech Detection and Analysis - Vision, Robotics, Multimodal and Grounded Language Acquisition (III) Language resource design, creation, and use: text, speech, sign, gesture, image, in single or multimodal/multimedia data - Guidelines, standards, best practices and models for LRs, interoperability - Methodologies and tools for LRs construction, annotation, and acquisition - Ontologies, terminology and knowledge representation - LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.) - LRs and Crowdsourcing - Metadata for LRs and semantic/content mark-up - LRs in systems and applications such as information extraction, information retrieval, audio-visual and multimedia search, speech dictation, meeting transcription, Computer-Aided Language Learning, training and education, mobile communication, machine translation, speech translation, summarisation, semantic search, text mining, inferencing, reasoning, sentiment analysis/opinion mining, (speech-based) dialogue systems, natural language and multimodal/multisensory interactions, chatbots, voice-activated services, etc. - Use of (multilingual) LRs in various fields of application like e-government, e-participation, e-culture, e-health, mobile applications, digital humanities, social sciences, etc. - LRs in the age of deep neural networks - Open, linked and shared data and tools, open and collaborative architectures - Bias in language resources - User needs, LT for accessibility (IV) NLP evaluation methodologies - NLP evaluation methodologies, protocols and measures - Benchmarking of systems and products - Evaluation metrics in Machine Learning - Usability evaluation of HLT-based user interfaces and dialogue systems - User satisfaction evaluation (V) Topics of general interest - Multilingual issues, language coverage and diversity, less-resourced languages - Replicability and reproducibility issues - Organisational, economical, ethical and legal issues - Priorities, perspectives, strategies in national and international policies - International and national activities, projects and initiatives PAPER THEME TRACKS Those topics are organized into 26 main tracks: - LC01 Applications Involving LRs and Evaluation (including Applications in Specific Domains) - LC02 CL and Linguistic Theories, Cognitive Modeling and Psycholinguistics - LC03 Corpora and Annotation (including Tools, Systems, Treebanks) - LC04 Dialogue, Conversational Systems, Chatbots, Human-Robot Interaction - LC05 Digital Humanities and Cultural Heritage - LC06 Discourse and Pragmatics - LC07 Document Classification, Information Retrieval and Cross-lingual Retrieval - LC08 Evaluation and Validation Methodologies - LC09 Inference, Reasoning, Question Answering - LC10 Information Extraction, Knowledge Extraction, and Text Mining - LC11 Integrated Systems and Applications - LC12 Knowledge Discovery/Representation (including Knowledge Graphs, Linked Data, Terminology, Ontologies) - LC13 Language Modeling - LC14 Less-Resourced/Endangered/Less-studied Languages - LC15 Lexicon and Semantics - LC16 Machine Learning Models and Techniques for CL/NLP - LC17 Multilinguality, Machine Translation, and Translation Aids (including Speech-to-Speech Translation) - LC18 Multimodality, Cross-modality (including Sign Languages, Vision and Other Modalities), Multimodal Applications, Grounded Language Acquisition, and HRI - LC19 Natural Language Generation, Summarization and Simplification - LC20 Offensive and Non-inclusive Language Detection and Analysis - LC21 Opinion & Argument Mining, Sentiment Analysis, Emotion Recognition/Generation - LC22 Parsing, Tagging, Chunking, Grammar, Syntax, Morphosyntax, Morphology - LC23 Policy issues, Ethics, Legal Issues, Bias Analysis (including Language Resource Infrastructures, Standards for LRs, Metadata) - LC24 Social Media Processing - LC25 Speech Resources and Processing (including Phonetic Databases, Phonology, Prosody, Speech Recognition, Synthesis and Spoken Language Understanding) - LC26 Trustworthiness, Interpretability, and Explainability of Neural Models PAPER TYPES AND FORMATS LREC-COLING 2024 invites high-quality submissions written in English. Submissions of three forms of papers will be considered: 1. Regular long papers – up to eight (8) pages maximum*, presenting substantial, original, completed, and unpublished work. 2. Short papers – up to four (4) pages*, describing a small focused contribution, negative results, system demonstrations, etc. 3. Position papers – up to eight (8) pages*, discussing key hot topics, challenges and open issues, as well as cross-fertilization between computational linguistics and other disciplines. * Excluding any number of additional pages for references, ethical consideration, conflict-of-interest, as well as data, and code availability statements. Upon acceptance, final versions of long papers will be given one additional page – up to nine (9) pages of content plus unlimited pages for acknowledgments and references – so that reviewers’ comments can be taken into account. Final versions of short papers may have up to five (5) pages, plus unlimited pages for acknowledgments and references. For both long and short papers, all figures and tables that are part of the main text must fit within these page limits. Furthermore, appendices or supplementary material will also be allowed ONLY in the final, camera-ready version, but not during submission, as papers should be reviewed without the need to refer to any supplementary materials. Linguistic examples, if any, should be presented in the original language but also glossed into English to allow accessibility for a broader audience. Note that paper types are decisions made orthogonal to the eventual, final form of presentation (i.e., oral versus poster). PAPER SUBMISSIONS AND TEMPLATES Submission is electronic, using the Softconf START conference management system via the link: https://softconf.com/lrec-coling2024/papers/ Both long and short papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. AUTHOR RESPONSIBILITIES Papers must be of original, previously-unpublished work. Papers must be anonymized to support double-blind reviewing. Submissions thus must not include authors’ names and affiliations. The submissions should also avoid links to non-anonymized repositories: the code should be either submitted as supplementary material in the final version of the paper, or as a link to an anonymized repository (e.g., Anonymous GitHub <https://anonymous.4open.science/> or Anonym Share <https://anonymfile.com/>). Papers that do not conform to these requirements will be rejected without review. If the paper is available as a preprint, this must be indicated on the submission form but not in the paper itself. In addition, LREC-COLING 2024 will follow the same policy as ACL conferences establishing an anonymity period during which non-anonymous posting of preprints is not allowed. More specifically, direct submissions to LREC-COLING 2024 may not be made available online (e.g. via a preprint server) in a non-anonymized form after September 22, 11:59PM UTC-12:00 (for arXiv, note that this refers to submission time). Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. Papers that have been or will be under consideration for other venues at the same time must be declared at submission time. If a paper is accepted for publication at LREC-COLING 2024, it must be immediately withdrawn from other venues. If a paper under review at LREC-COLING 2024 is accepted elsewhere and authors intend to proceed there, the LREC-COLING 2024 committee must be notified immediately ETHICS STATEMENT We encourage all authors submitting to LREC-COLING 2024 to include an explicit ethics statement on the broader impact of their work, or other ethical considerations after the conclusion but before the references. The ethics statement will not count toward the page limit (8 pages for long, 4 pages for short papers). PRESENTATION REQUIREMENT All papers accepted to the main conference track must be presented at the conference to appear in the proceedings, and at least one author must register for LREC-COLING2024. Papers will be presented either orally or as posters. The specific presentation modality of a paper will be decided based on its content, with no difference in quality implied. Papers that include a demonstration component will be presented as posters. All papers accepted to the main conference will be required to submit a presentation video. The conference will be hybrid, with an emphasis on encouraging interaction between the online and in-person modalities, and thus presentations can be either on-site or virtual. -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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PhD position on efficient E2E models for Automatic Speech Recognition
by Daniele Falavigna 07 Aug '23

07 Aug '23

--- Apologies for multiple posting --- The Speech Technology group (SpeechTek) at Fondazione Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: *TITLE*: Efficient E2E models for automatic speech recognition in multi-speaker scenarios *DESCRIPTION*: In spite of the recent progress in speech technologies, processing and understanding conversational spontaneous speech is still an open issue, in particular in presence of challenging acoustic conditions as those posed by dinner party scenarios. Although enormous progresses have been made recently in a variety of speech processing tasks (such as speech enhancement, speech separation, speech recognition, spoken language understanding), targeting also multi-speaker speech recognition, a unified established solution is still far from being available. Moreover, the computational complexity of current approaches is extremely high, making an actual deployment in low-end or IoT devices not feasible in practice. The candidate will advance the current state-of-the-art in speech processing (in particular for separation, enhancement and recognition) towards developing a unified solution, possibly based on self-supervised or unsupervised approaches, for automatic speech recognition in dinner party scenarios, as those considered in the CHiME challenges ( https://arxiv.org/abs/2306.13734). *CONTACTS*: brutti(a)fbk.eu <guerini(a)fbk.eu> *COMPLETE DETAILS AVAILABLE AT*: https://iecs.unitn.it/education/admission/reserved-topic-scholarships#A9 ------------------------------------------------------------------------------------------------ Giuseppe Daniele Falavigna Fondazione Bruno Kessler Via Sommarive 18 - 38123 Povo - Trento, Italy mail:falavi@fbk.eu - tel:+39(0)461314562 - fax:+39(0)461314591 HomePage: https://speechtek.fbk.eu/people/profile/falavi ------------------------------------------------------------------------------------------------- -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Shared Task: Prompting Large Language Models as Explainable Metrics
by Juri Opitz 07 Aug '23

07 Aug '23

Dear colleagues, you are invited to participate in the Eval4NLP 2023 shared task on **Prompting Large Language Models as Explainable Metrics**. Please find more information below and on the shared task webpage: https://eval4nlp.github.io/2023/shared-task.html Important Dates - Shared task announcement: August 02, 2023 - Dev phase: August 07, 2023 - Test phase: September 18, 2023 - System Submission Deadline: September 23, 2023 - System paper submission deadline: October 5, 2023 - System paper camera ready submission deadline: October 12, 2023 All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). The timeframe of the test phase may change. Please regularly check the shared task webpage: https://eval4nlp.github.io/2023/shared-task.html. ** Overview ** With groundbreaking innovations in unsupervised learning and scalable architectures the opportunities (but also risks) of automatically generating audio, images, video and text, seem overwhelming. Human evaluations of this content are costly and are often infeasible to collect. Thus, the need for automatic metrics that reliably judge the quality of generation systems and their outputs, is stronger than ever. Current state-of-the-art metrics for natural language generation (NLG) still do not match the performance of human experts. They are mostly based on black-box language models and usually return a single quality score (sentence-level), making it difficult to explain their internal decision process and their outputs. The release of APIs to large language models (LLMs), like ChatGPT and the recent open-source availability of LLMs like LLaMA has led to a boost of research in NLP, including LLM-based metrics. Metrics like GEMBA [*] explore the prompting of ChatGPT and GPT4 to directly leverage them as metrics. Instructscore [*] goes in a different direction and finetunes a LLaMA model to predict a fine grained error diagnosis of machine translated content. We notice that current work (1) does not systematically evaluate the vast amount of possible prompts and prompting techniques for metric usage, including, for example, approaches that explain a task to a model or let the model explain a task itself, and (2) rarely evaluates the performance of recent open-source LLMs, while their usage is incredibly important to improve the reproducibility of metric research, compared to closed-source metrics. This year’s Eval4NLP shared task, combines these two aspects. We provide a selection of open-source, pre-trained LLMs. The task is to develop strategies to extract scores from these LLM’s that grade machine translations and summaries. We will specifically focus on prompting techniques, therefore, fine-tuning of the LLM’s is not allowed. Based on the submissions, we hope to explore and formalize prompting approaches for open-source LLM-based metrics and, with that, help to improve their correlation to human judgements. As many prompting techniques produce explanations as a side product we hope that this task will also lead to more explainable metrics. Also, we want to evaluate which of the selected open-source models provide the best capabilities as metrics, thus, as a base for fine-tuning. ** Goals ** The shared task has the following goals: Prompting strategies for LLM-based metrics: We want to explore which prompting strategies perform best for LLM-based metrics. E.g., few-shot prompting [*], where examples of other solutions are given in a prompt, chain-of-thought reasoning (CoT) [*], where the model is prompted to provide a multi-step explanation itself, or tree-of-thought prompting [*], where different explanation paths are considered, and the best is chosen. Also, automatic prompt generation might be considered [*]. Numerous other recent works explore further prompting strategies, some of which use multiple evaluation passes. Score aggregation for LLM-based metrics: We also want to explore which strategies best aggregate the model scores from LLM-based metrics. E.g., scores might be extracted as the probability of a paraphrase being created [*], or they could be extracted from LLM output directly [*]. Explainability for LLM-based metrics: We want to analyze whether the metrics that provide the best explanations (for example with CoT) will achieve the highest correlation to human judgements. We assume that this is the case, due to the human judgements being based on fine-grained evaluations themselves (e.g. MQM for machine translation) ** Task Description ** The task will consist of building a reference-free metric for machine translation and/or summarization that predicts sentence-level quality scores constructed from fine-grained scores or error labels. Reference-free means that the metric rates the provided machine translation solely based on the provided source sentence/paragraph, without any additional, human written references. Further, we note that many open-source LLMs have mostly been trained on English data, adding further challenges to the reference-free setup. To summarize, the task will be structured as follows: - We provide a list of allowed LLMs from Huggingface - Participants should use prompting to use these LLMs as metrics for MT and summarization - Fine-tuning of the selected model(s) is not allowed - We will release baselines, which participants might build upon - We will provide a CodaLab dashboard to compare participants' solutions to others We plan to release a CodaLab submission environment together with baselines and dev set evaluation code successively until August 7. We will allow specific models from Huggingface, please refer to the webpage for more details: https://eval4nlp.github.io/2023/shared-task.html Best wishes, The Eval4NLP organizers [*] References are listed on the shared task webpage: https://eval4nlp.github.io/2023/shared-task.html

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Third call for papers DHASA Conference 2023 Extended deadlines
by Menno Van Zaanen 07 Aug '23

07 Aug '23

Third call for papers DHASA Conference 2023 Extended deadlines https://dh2023.digitalhumanities.org.za/ Note extended deadlines Theme: "Digital Humanities for Inclusion" The Digital Humanities Association of Southern Africa (DHASA) is pleased to announce its fourth conference, focusing on the theme "Digital Humanities for Inclusion." In a region where the field of Digital Humanities is still relatively underdeveloped, this conference aims to address this gap and foster growth and collaboration in the field. The conference offers an opportunity for researchers interested in showcasing their work in the broad field of Digital Humanities to come together. By doing so, the conference provides a comprehensive overview of the current state-of-the-art in Digital Humanities, particularly within the Southern Africa region. As such, we welcome submissions related to Digital Humanities research conducted by individuals from Southern Africa or research focused on the geographical area of Southern Africa. Furthermore, the conference serves as a platform for information sharing and networking among researchers passionate about Digital Humanities. By bringing together experts working on Digital Humanities in Southern Africa or with a focus on Southern Africa, we aim to promote collaboration and facilitate further research in this dynamic field. In addition to the main conference, affiliated workshops and tutorials will be organized, providing researchers with valuable insights into novel technologies and tools. These supplementary events are designed for researchers interested in specific aspects of Digital Humanities or seeking practical information to enter or advance their knowledge in the field. The DHASA conference welcomes interdisciplinary contributions from researchers in various domains of Digital Humanities, including, but not limited to, language, literature, visual art, performance and theatre studies, media studies, music, history, sociology, psychology, language technologies, library studies, philosophy, methodologies, software and computation, and more. Our goal is to cultivate an inclusive scientific community of practice within Digital Humanities. Suggested topics include the following: * Digital archives and the preservation of marginalized voices; * Intersectionality and the digital humanities: exploring the intersections of race, gender, sexuality, and class in digital research and activism; * Activism and social change through digital media: how digital humanities tools and methodologies can be used to promote inclusion; * Engaging marginalized communities in the creation and use of digital tools and resources; * Exploring the role of digital humanities in decolonizing knowledge and promoting indigenous perspectives; * The ethics of data collection and analysis in digital humanities research related; * The role of digital humanities in promoting inclusive and equitable pedagogy; * Digital humanities and inclusion in the context of global perspectives and international collaborations; * Critical approaches to digital humanities and inclusion: examining the limitations and possibilities of digital tools and methodologies in promoting inclusion; and * Collaborative digital humanities projects with non-profit organizations, community groups, and cultural institutions; * Any other digital humanities-related topic that serves the Southern African community. Submission Guidelines The DHASA conference 2023 asks for three types of submissions: * Long papers: Authors may submit long papers consisting of a maximum of 8 content pages and unlimited pages for references and appendix. The final versions of accepted long papers will be granted an additional page (up to 9 pages) to incorporate reviewers' comments. * Short papers: Authors may submit short papers with a maximum of 5 content pages and unlimited pages for references and appendix. The final versions of accepted short papers will be allowed an extra page (up to 6 pages) to accommodate reviewers' comments. Short papers accepted for the conference will be presented as posters. * Abstracts: Authors can submit abstracts of 250-300 words. Note that before submitting your contribution, you are required to submit an abstract before the abstract submission deadline. This holds for *all* submissions. The actual submission will need to be submitted before the submission deadline. More information on the submission process can be found on the submission page: https://dh2023.digitalhumanities.org.za/submission/ We particularly encourage student submissions where the first author is a student. All accepted long and short paper submissions that are presented at the conference will be published in the Journal of Digital Humanities Association of Southern Africa, see https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts of the full papers and the lightning talks will be published in a book of abstracts before the conference. Important dates Abstract submission deadline: *22 August 2023* Submission deadline: *29 August 2023* Date of notification: 30 September 2023 Camera-ready copy deadline: 6 November 2023 Conference: 27 November 2023 - 1 December 2023 Conference format: Face-to-face Conference venue: Nelson Mandela University, Eastern Cape South Africa NOTE: Non-presenting delegates have the option to attend online. Co-located events Several co-located events are currently being prepared, including workshops and tutorials. These will be updated on the conference website. Organizing Committee * Johannes Sibeko, Nelson Mandela University * Aby Louw, Council for Scientific and Industrial Research * Alan Murdoch, Nelson Mandela University * Amanda du Preez, University of Pretoria * Andiswa Bukula, South African Centre for Digital Language Resources * Andiswa Mvanyashe, Nelson Mandela University * Avashna Govender, Council for Scientific and Industrial Research * Gabby Dlamini, Nelson Mandela University * Ilana Wilken, Council for Scientific and Industrial Research * Jonathan van der Walt, Nelson Mandela University * Laurette Marais, Council for Scientific and Industrial Research * Mukhtar Raban, Nelson Mandela University * Nomfundo Khumalo, Nelson Mandela University * Menno Van Zaanen, South African Centre for Digital Language Resources -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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Call for participation: SIGDIAL-INLG 2023, Sep 11-15, Prague Czechia
by Ondrej Dusek 07 Aug '23

07 Aug '23

*** Call for Participation *** SIGDIAL & INLG 2023 Conferences September 11-15, 2023 Prague, Czechia & online https://sigdialinlg2023.github.io/ Early Registration Deadline: **August 10** Late Registration Deadline: September 15 Non-presenters Free Registration: August 12 - September 15 Workshops: September 11-12 Main Conferences: September 13-15 The 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial 2023) and the 16th International Natural Language Generation Conference (INLG 2023) will be held jointly this year in Prague, Czechia. The event will be hybrid, but in-person participation is strongly encouraged! Virtual attendance will be free for non-presenters. The organizers of SIGDIAL & INLG 2023 invite all researchers and practitioners, SIGDial & SIGGEN members, and SIGDIAL & INLG 2023 industry partners and sponsors to join the conference. The registration is now open, with early rates available until August 10 (see https://sigdialinlg2023.github.io/registration.html). A limited number of hotel rooms at the conference venue is available for booking at special rates until August 10. **SIGDIAL** provides a regular forum for the presentation of cutting-edge research in discourse and dialogue to both academic and industry researchers. Continuing a series of 23 successful previous meetings, this conference spans the research interest areas of discourse and dialogue. The conference is sponsored by the SIGdial organization, which serves as the Special Interest Group on discourse and dialogue for both ACL and ISCA. **INLG** is a yearly venue for presentations related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. The event is organized under the auspices of SIGGEN, the Special Interest Group on Natural Language Generation of ACL. The joint conference on Sep 13-15 will feature 4 keynote speeches by Barbara Di Eugenio, Emmanuel Dupoux, Elena Simperl and Ryan Lowe, as well as a number of regular paper presentations and system demonstrations. - Keynotes: https://sigdialinlg2023.github.io/speakers.html - SIGDIAL accepted papers: https://2023.sigdial.org/accepted-papers/ - INLG accepted papers: https://inlg2023.github.io/accepted_papers.html The event includes several workshops on Sep 11-12 (see https://sigdialinlg2023.github.io/workshops.html): - YRRSDS: 19th Young Researchers' Roundtable on Spoken Dialogue Systems - The 1st Workshop on Counter Speech for Online Abuse - DSTC11: The 11th Dialog System Technology Challenge - PracticalD2T: 1st Workshop on Practical LLM-assisted Data-to-Text Generation - Taming Large Language Models: Controllability in the era of Interactive Assistants - Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge - Connecting multiple disciplines to AI techniques in interaction-centric autism research and diagnosis - Designing divergent agent tasks for SDS data collection We thank you for your support and look forward to welcoming you at the conference! Best regards, SIGDIAL & INLG 2023 Organizers (Apologies for cross-posting)

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LREC-COLING 2024 website is alive!
by sara goggi 07 Aug '23

07 Aug '23

Dear Corpora members, this is to announce that the LREC COLING 2024 website is now available at: https://lrec-coling-2024.org/ On the website you will find the 2nd Call for Papers for the main conference, the Workshops CfP and the Tutorials CfP, the Author's kit plus other information about Torino. All the best, LREC-COLING 2024 Organizers

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Fwd: looking for summarization datasets in italian and spanish langs
by Saeed Farzi 06 Aug '23

06 Aug '23

Hi guys, I am going to implement a summarization system in the medical domain in Italian and Spanish. So I am looking for free summarization datasets both in the public and medical domains in both languages. Any help would be appreciated. sincerely Ciao -- *Dr. Saeed Farzi,* Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran. Phone: +98-21-8462450-401 Fax: +98-21-88462066 P.O. Box: 16315-1355, Web: http://wp.kntu.ac.ir/saeedfarzi/ Lab: https://www.trlab.ir/ -- *Dr. Saeed Farzi,* Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran. Phone: +98-21-8462450-401 Fax: +98-21-88462066 P.O. Box: 16315-1355, Web: http://wp.kntu.ac.ir/saeedfarzi/ Lab: https://www.trlab.ir/

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Third CFP (ArabicNLP 2023): The 1st Arabic Natural Language Processing Conference
by Amr Keleg 06 Aug '23

06 Aug '23

*** Apologies for Cross-Posting *** The First Arabic Natural Language Processing Conference (ArabicNLP 2023) co-located with EMNLP 2023 in Singapore. What's in a name? To mark our move from a workshop to a conference, we changed our acronym from WANLP to ArabicNLP. Conference URL: <https://wanlp2023.sigarab.org/> https://arabicnlp2023.sigarab.org/ Submission URL: https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2023/Conference ArabicNLP 2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing. ArabicNLP 2023 builds on seven previous workshop editions, which have been extremely successful, drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. ArabicNLP 2023 will also feature shared tasks, allowing participants to work on specific NLP challenges related to Arabic language processing. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB), an Association for Computational Linguistics Special Interest Group on Arabic Natural Language Processing. Important Dates - May 7, 2023: submission of shared tasks proposals - May 14, 2023: notification of acceptance of shared tasks - September 5, 2023: conference papers due date - October 12, 2023: notification of acceptance - October 20, 2023: camera-ready papers due - December 7, 2023: conference day All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee. Submissions are invited on topics that include, but are not limited to, the following: - Enabling core technologies: language models and large language models, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. - Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. - Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, please contact us at: <https://groups.google.com/u/1/>arabicnlp-pc-chairs(a)sigarab.org The ArabicNLP 2023 Publicity Chairs, Amr Keleg and Salam Khalifa

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Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Albretch Mueller 05 Aug '23

05 Aug '23

On 8/3/23, Toms Bergmanis <toms.bergmanis(a)tilde.lv> wrote: ... I, for one, have benefited from Ada's, as well as other member's suggestions and comments as I hope they have somehow benefited from mine. lbrtchx

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1st CfP special issue in « Computational Linguistics »
by Abdellah Fourtassi 05 Aug '23

05 Aug '23

1st Call for Papers: Special Issue of the Computational Linguistics journal on Language Learning, Representation, and Processing in Humans and MachinesGuest Editors Marianna Apidianaki (University of Pennsylvania) Abdellah Fourtassi (Aix Marseille University) Sebastian Padó (University of Stuttgart) *Submission deadline: December, 10* Large language models (LLMs) acquire rich world knowledge from the data they are exposed to during training, in a way that appears to parallel how children learn from the language they hear around them. Indeed, since the introduction of these powerful models, there has been a general feeling among researchers in both NLP and cognitive science that a systematic understanding of how these models work and how they use the knowledge they encode, would shed light on the way humans acquire, represent, and process this same knowledge (and vice versa). Yet, despite the similarities, there are important differences between machines and humans that have prevented a direct translation of insights from the analysis of LLMs to a deeper understanding of human learning. Chief among these differences is that the size of data required to train LLMs far exceeds -- by several orders of magnitude -- the data children need to acquire sophisticated conceptual structures and meanings. Besides, the engineering-driven architectures of LLMs do not appear to have obvious equivalents in children's cognitive apparatus, at least as studied by standard methods in experimental psychology. Finally, children acquire world knowledge not only via exposure to language but also via sensory experience and social interaction. This edited volume aims to create a forum of exchange and debate between linguists, cognitive scientists and experts in deep learning, NLP and computational linguistics, on the broad topic of learning in humans and machines. Experts from these communities can contribute with empirical and theoretical papers that advance our understanding of this question. Submissions might address the acquisition of different types of linguistic and world knowledge. Additionally, we invite contributions that characterize and address challenges related to the mismatch between humans and LLMs in terms of the size and nature of input data, and the involved learning and processing mechanisms. Topics include, but are not limited to: - Grounded learning: comparison of unimodal (e.g., text) vs multimodal (e.g., images and video) learning. - Social learning: comparison of input-driven mechanisms vs. interaction-based learning. - Exploration of different knowledge types (e.g., procedural / declarative); knowledge integration and inference in LLMs. - Methods to characterize and quantify human-like language learning or processing in LLMs. - Interpretability/probing methods addressing the linguistic and world knowledge encoded in LLM representations. - Knowledge enrichment methods aimed at improving the quality and quantity of the knowledge encoded in LLMs. - Semantic representation and processing in humans and machines in terms of, e.g., abstractions made, structure of the lexicon, property inheritance and generalization, geometrical approaches to meaning representation, mental associations, and meaning retrieval. - Bilingualism in humans and machines; second language acquisition in children and adults; construction of multi-lingual spaces and cross-lingual correspondences. - Exploration of language models that incorporate cognitively plausible mechanisms and reasonably-sized training data. - Use of techniques from other disciplines (e.g., neuroscience or computer vision) for analyzing and evaluating LLMs. - Open-source tools for analysis, visualization, or explanation. Submission Instructions Papers should be formatted according to the Computational Linguistics style guidelines: https://cljournal.org/ We accept both long and short papers. Long papers are between 25 and 40 journal pages in length; short papers are between 15 and 25 pages in length. Papers for this special issue will be submitted through the CL electronic submission system, just like regular papers: https://cljournal.org/submissions.html Authors of special issue papers will need to select ‟Special Issue on LLRP‟ under the Journal Section heading in the CL submission system. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers. Timeline Deadline for submissions : December, 10 2023 Notification after 1st round of reviewing : February, 10 2024 Revised versions of the papers : April, 30 2024 Final decisions : June, 10 2024 Final version of the papers : July, 1 2024Guest Editors Marianna Apidianaki marapi(a)seas.upenn.edu Abdellah Fourtassi abdellah.fourtassi(a)gmail.com Sebastian Padó pado(a)ims.uni-stuttgart.de *Computational Linguistics* is the longest-running flagship journal of the Association for Computational Linguistics. The journal has a high impact factor: 9.3 in 2022 and 7.778 in 2021. Average time to first decision of regular papers and full survey papers (excluding desk rejects) is 34 days for the period January to May 2023, and 47 days for the period January to December 2022. -- This email was sent from my smartphone. Forgive the brevity, the typos, and the lack of nuance.

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[Last CFP] 3rd Workshop for NLP Open Source Software at EMNLP 2023
by liling tan 04 Aug '23

04 Aug '23

(apologies for cross-posting) *-----Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: *09 August, 2023 (23:59, GMT-11)* ----- You have tried to use the latest, bestest, fastest LLM models and bore grievances but found the solution after hours of coffee and computer staring. Share that at NLP-OSS and suggest how open source could change for the better (e.g. best practices, documentation, API design etc.) You came across an awesome SOTA system on NLP task X that no LLM has beaten its F1 score. But now the code is stale and it takes a dinosaur to understand the code. Share your experience at NLP-OSS and propose how to "replicate" these forgotten systems. You see this shiny GPT from a blog post, tried it to reproduce similar results on a different task and it just doesn't work on your dataset. You did some magic to the code and now it works. Show us how you did it! Though they're small tweaks, well-motivated and empirically tested are valid submissions to NLP-OSS. You have tried 101 NLP tools and there's none that really do what you want. So you wrote your own shiny new package and made it open source. Tell us why your package is better than the existing tools. How did you design the code? Is it going to be a one-time thing? Or would you like to see thousands of people using it? You have heard enough of open-source LLM and pseudo-open-source GPT but not enough about how it can be used for your use-case or your commercial product at scale. So you contacted your legal department and they explained to you about how data, model and code licenses work. Sharing the knowledge with the NLP-OSS community. You have a position/opinion to share about free vs open vs closed source LLMs and have valid arguments, references or survey/data to support your position. We would like to hear more about it. At last, you've found the avenue to air these issues in an academic platform at the NLP-OSS workshop!!! Sharing your experiences, suggestions and analysis from/of NLP-OSS ---- P/S: 2nd Call for Paper *Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: 09 August, 2023 (23:59, GMT-11) ------------------------------ The Third Workshop for NLP Open Source Software (NLP-OSS) will be co-located with EMNLP 2023 on 06 Dec 2023. Focusing more on the social and engineering aspect of NLP software and less on scientific novelty or state-of-art models, the Workshop for NLP-OSS is an academic forum to advance open source developments for NLP research, teaching and application. NLP-OSS also provides an academic workshop to announce new software/features, promote the collaborative culture and best practices that go beyond the conferences. We invite full papers (8 pages) or short papers (4 pages) on topics related to NLP-OSS broadly categorized into (i) software development, (ii) scientific contribution and (iii) NLP-OSS case studies. - *Software Development* - Designing and developing NLP-OSS - Licensing issues in NLP-OSS - Backwards compatibility and stale code in NLP-OSS - Growing, maintaining and motivating an NLP-OSS community - Best practices for NLP-OSS documentation and testing - Contribution to NLP-OSS without coding - Incentivizing OSS contributions in NLP - Commercialization and Intellectual Property of NLP-OSS - Defining and managing NLP-OSS project scope - Issues in API design for NLP - NLP-OSS software interoperability - Analysis of the NLP-OSS community - *Scientific Contribution* - Surveying OSS for specific NLP task(s) - Demonstration, introductions and/or tutorial of NLP-OSS - Small but useful NLP-OSS - NLP components in ML OSS - Citations and references for NLP-OSS - OSS and experiment replicability - Gaps between existing NLP-OSS - Task-generic vs task-specific software - *Case studies* - Case studies of how a specific bug is fixed or feature is added - Writing wrappers for other NLP-OSS - Writing open-source APIs for open data - Teaching NLP with OSS - NLP-OSS in the industry Submission should be formatted according to the EMNLP 2023 templates <https://2023.emnlp.org/call-for-papers> and submitted to OpenReview <https://openreview.net/group?id=EMNLP/2023/Workshop/NLP-OSS> ORGANIZERS Geeticka Chauhan, Massachusetts Institute of Technology Dmitrijs Milajevs, Grayscale AI Elijah Rippeth, University of Maryland Jeremy Gwinnup, Air Force Research Laboratory Liling Tan, Amazon

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Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Ada Wan 04 Aug '23

04 Aug '23

Toms No, not my arrogance, but my expertise is outstanding. To my background: before my graduate-level theoretical linguistics curriculum (Chomskyan lineage) in the 1990s [1], I'd spent about 1-2 decades in multilingual, international environments, making keen observations and reflections on various language, cultural/social phenomena. After graduation, I have traveled to all 7 continents to continue with my linguistic and philosophical observations and learning (aka fieldwork). I have studied in 3 continents and had about 5 rounds of graduate training [2]. I have learned about 10+(?) languages/varieties (EN,ZH,FR,ES,RU,DE,LA,NL,IT,JA,ASL) and dabbled on a few other more (Sanskrit, Ancient Greek, AR...) and did fieldwork on/with a couple more (Zapotec, various varieties of PNG, Tok Pisin...) --- I mean, I don't remember much/any of these, it's been quite a while... now that I am/was (?) [3] about to retire. In the 2000s, I revisited "Linguistics proper" from another perspective, including but not limited to what you may know as "NLP" nowadays. I did not start publishing until the 2010s, so I assume that's when one might have become familiar with my work (assuming that they have read it). [1] doing original research, including but not limited to something similar to G2P work, and on what one could consider as writing pseudo code for computational systems (so, Computational Linguistics) [2] So to have finally come up with the experimental results I did and to have figured out what "language complexity" (in both the context of computing and not) as well as various other DL/NN phenomena were all about, I surely think it deserves a celebration! [3] Recent happenings seem to suggest that I should stay in the arena to keep an eye out on things. Indeed, as you might have liked to suggest, there are plenty of "NLP practitioners" out there nowadays who think they are qualified to work on "language" just because they can speak one. But if you need to pick a battle about that with me, I'm afraid you might have picked the wrong person. So I hope you could consider me as "not-a-noob". Being a woman in STEM/tech can be hard, but I didn't realize how little of a benefit of a doubt some choose to afford. I write this because not only of the tone of your inquiry, but also because of it is hard to not take offense with what you actually wrote, including this "yet that did not put you off from writing bogus papers on machine translation". Which part of my work do you regard as "bogus papers on MT"? *** Re ""The priority of my communications here is to clarify the part on the scientific front, to make sure that if one happens to have gotten oneself involved in this space, how one can come to more clarity on the status quo, esp. given my results." Is this about your "results" in that one paper...": No, it is not only about: i. my results in "Fairness in representation for multilingual NLP" ( https://openreview.net/forum?id=-llS6TiOew or https://drive.google.com/file/d/1eKbhdZkPJ0HgU1RsGXGFBPGameWIVdt9/view?pli=1), or ii. those in "Representation and Bias in Multilingual NLP" ( https://openreview.net/forum?id=dKwmCtp6YI), or iii. some of the remarks on language matters and current practices in the "language space" I've tweeted --- some of which further explain my solution to language complexity, some advance arguments from traditional academic debates, some on meta-theoretical and transdisciplinary development, some on possible future directions... etc., but also iv. some of the dependencies or potential impact of my results, if one were to take their work with responsibility and integrity. To better understand the *impact* of my results (as in, why they are important), it'd be helpful for one to have knowledge/experience of the language space (or the "language enterprise" as Noam sometimes refers/referred to it) --- to understand the development and the dependencies (and the lack thereof) between Linguistics, Computational Linguistics, Natural Language Processing, Computing or Computer Science and/or Computational Sciences, Statistics/Mathematics, Social Sciences, Information Theory, Philosophy... etc. [4] (both as academic disciplines as well as as sciences on their own). [4] because *language*! (But if I had to opine on which areas are to be impacted most directly with my findings, as in paradigm-shifting type of impact, I'd probably say/write the first 3 or 4, i.e. Lx, CL, NLP, CS/CS-related.) Re "For anyone wanting to continue this discussion, I strongly recommend reading Ada's work, so you have an informed opinion about what evidence she is referring to.": Thanks for your help in promoting my work. Yes, I think it'd be helpful for everyone to read my work, whether they'd like to partake in a conversation on it or not. Please feel free to send me any questions you may have --- it's been a few really intense years for me. I don't always know if/how my writing has been understood. I'd be grateful for your feedback. Best Ada On Thu, Aug 3, 2023 at 5:42 PM Toms Bergmanis <toms.bergmanis(a)tilde.lv> wrote: > Ada, > > > > "it is not the right time right now to be "campy" about (as in, to be > arguing/protesting for) "grammar", at the moment, esp. if you do not have a > background in Linguistics." > > Your arrogance is outstanding. I will ask again, as I have asked before - > what background do you have? Last time I checked, I could not find any > evidence of your background in NLP, yet that did not put you off from > writing bogus papers on machine translation. > > > > "The priority of my communications here is to clarify the part on the > scientific front, to make sure that if one happens to have gotten oneself > involved in this space, how one can come to more clarity on the status quo, > esp. given my results." > > Is this about your "results" in that one paper evaluating which data > representation is better in machine translation without actually > considering machine translation quality? It sounds like something that > everyone should read before engaging in a debate with you. > > > > For anyone wanting to continue this discussion, I strongly recommend > reading Ada's work, so you have an informed opinion about what evidence she > is referring to. > > Sincerely, > > Toms Bergmanis > ------------------------------ > > *From:* Ada Wan via Corpora <corpora(a)list.elra.info> > *Sent:* Wednesday, August 2, 2023 7:17:42 PM > *To:* Albretch Mueller <lbrtchx(a)gmail.com> > *Cc:* corpora <corpora(a)list.elra.info> > *Subject:* [Corpora-List] Re: Any literature about tensors-based corpora > NLP research with actual examples (and homework ;-)) you would suggest? ... > > > > Re RML or any "text technologies" leveraging "grammar" (misnomer or not): > > it is not the right time right now to be "campy" about (as in, to be > arguing/protesting for) "grammar", at the moment, esp. if you do not have a > background in Linguistics. > > There has been quite some abuse/misconduct with concepts/units/assumptions > such as "words", "sentences", and "grammar" in the language space (with or > without computational implementation). > > > > The priority of my communications here is to clarify the part on the > scientific front, to make sure that if one happens to have gotten oneself > involved in this space, how one can come to more clarity on the status quo, > esp. given my results. There is a lot that needs to be re-evaluated and > re-interpreted. Simply stating that something might have been useful in the > past is not going to be helpful with going forward. > > > > If one is working in technologies with language/text data (e.g., in a > user-based format/framework, and not working on "grammar" as a > "linguistic"/philological pursuit), it is recommended that the name(s) of > such technologies get updated --- if "grammar" [1] does not have to be > mentioned or be involved, don't. > > [1] or, including but not limited to any of the following: "word", > "sentence", "linguistic structure(s)", "meaning", "morphology", "syntax", > "parsing", various terms related to parts of speech (e.g. "nouns", > "verbs").... > > > > Re "BTW, regarding that "parsing" aspect, what is the term used to > describe the gradual process of "terminological inception"?": > > conceptualization? Coining of terms? > > According to me, "lexical priming" is different from "terminological > inception". > > > > Re "How could you clarified intersubjectivity?": > > https://en.wikipedia.org/wiki/Intersubjectivity :) > > Your question is way too broad, or requires an answer that is such, which > I cannot entertain at the moment. > > > > Thanks for sharing your perspectives. I must admit I have not had time to > digest all of your points. But this impression recurred in me as I was > reading them: > > sometimes, I sense that when one claims some concepts are not universal > (e.g. the ones mentioned in [1] above), others take it as that all concepts > are categorically invalid. That is not what I intended to communicate (with > all my papers, scientific work, and my comments here). It is an expert > opinion/finding that I shared, upon some careful evaluation. > > > > > > On Tue, Aug 1, 2023 at 10:26 PM Albretch Mueller via Corpora < > corpora(a)list.elra.info> wrote: > > On 7/31/23, Ada Wan <adawan919(a)gmail.com> wrote: > > That having been expressed, here are a couple of points re RML that one > should pay heed: > > i. to what extent and in what context is this a technology relevant? > > If you were able to device an algorithm which taking as input only NL > texts (composed of: 1) a start (semantic end); b) a sequence of > characters from a relatively large and representative text bank; c) an > end (a semantic start)) is able to exhaustively "deduce" the grammar > of such texts, in addition to being able to use it with any language, > you would then: > > 1) have defined a "space"/"coordinate system" for those texts, to > frame (pretty much) all possible "meaningful 'points'"/"phrases" in > terms of such grammar, which would also; > 2) be a 0-search structure describing the text bank/corpus (every > text segment would also become a pointer to every single actualization > of that very segment in all texts, no more "n-grams" necessary!), > which could; > 3) be used with minimal turking/supervision to: > 3.1) cleanse up all automatic translations from youtube; > 3.2) keep multilingual corpora; > 3.3) use it for automatic translations (demonstrably, in an almost > foolproof, perfect way, since you always have the words/phrases with > their context); > 3.4) "cosmic/tree reading": instead reading books/sequences of > characters, you would read that text as it relates to all other texts > from the same topic; > 3.5) parsing: you would keep a corpus of what you know so you wont > have to reread about certain topics and aspects you already know > (great Lord! how I hate reading a whole book to only find a few, at > times marginal, sentences worth reading! or that "youthful" thing of > thinking that they just discovered/created an idea because they are > just verbalizing it or made a movie about it!) BTW, regarding that > "parsing" aspect, what is the term used to describe the gradual > process of "terminological inception"? I have heard the term > "Adamization", but, even though that word doesn't really rub me the > wrong way, I could imagine it is "too sexist" to some people. I > wouldn't really care calling it Eveization or "pussyfication" or > whatever. I just don't want to use the term that the government uses: > "lexical priming" and "terminological inception" sounds too cumbersome > as a verb: "terminologically incept"? doesn't sound OK in English; > 3.6) of course, an easy application of that contextual parsing would > be removing all that js crap and ads before they reach your awareness; > ... > 3.n) not last and definitely not least I am thinking hard about how > to make sure police and politicians at least have a hard time while > using what I have described to "freedom love" people (I know, I know, > ... "3.n" doesn't "technically" pertain to quality of implementation > issues ..., but I, for one, disagree. Giving the "all tangible things" > (tm) panopticon in which we are all living these days, each of us in > one's own "virtual prison cell" to call it somehow, we should also > think about, be openly honest about such matters) > > I am working right now on such Leibnizian "characteristica > universalis" kind of thing. First cleansing approx. 1.2 million texts > mostly from archive.org, *.pub and the NYS Regents exams > (nysedregents.org + nysl.ptfs.com) which they have, at least > partially, translated to more than 10 languages. Is that relevant > enough to you? ;-) I am also being quite selfish about it because I > have always dreamed of being able to "read"/mind all texts which have > ever been written in the same way that teens think they have to have > sex with everybody in town to make sense of things. > > > ii. one can certainly dissect/decompose texts ... > > Computing power has become insanely cheap, but it has also enabled > too much "cleverhansing" out there. The Delphic phrase: "you can make > sense or money" these times translates as some sort of corollary to: > "using computers and then thinking about it makes you smart"; but, > does it really? > > It amazes me how easily you can "dissect"/"decompose texts", talk > about "tensors", "vectors", ... (I am not trying to police language > usage, it just amazes me); let alone all the insufferable bsing claims > by the "Artificial Intelligentsia". > > I would go with one character after the other and an open attempt to > use the minimal amount of principles to then see what I get. IMO, when > you start getting too smart about what you do, of course, you will > "see" how smart you are. The poet in me likes Borges' stanzas: "... el > nombre es arquetipo de la cosa, en las letras de 'rosa' está la rosa y > todo el Nilo en la palabra 'Nilo'" ("its name is a thing's archetype, > in the letters of 'rose' is the rose and the whole of the Nile (river) > in the word 'Nile'") > > > II. Re ""magical" in the sense that when we go about our intersubjective > business": some intersubjectivity can be further clarified. I don't see > much of your examples as being "magical". > > I actually do! How could you clarified intersubjectivity? I am trying > to do so (somewhat) Mathematically (to the extent you could). Could > you share any papers, "prior art" on such matters? > > > ii. "other people may read, mind, as well ...;": so? > > which is a good thing it is alright, fine and dandy in the hippie way, I > meant. > > > iii. "Alice bought some veggies from Bob, ...)": this I don't understand. > > iv. "We see more in money ("words", ...) than just a piece of paper" > > iii. and iv. overlap to some extent so I will try to explain them > both quickly (which is impossible since you can write philosophies > about each line, but there I'll go). To understand what Marx (may > have) meant by „gesellschaftlich notwendige Arbeit” ("socially > necessary labour time", wording which has made quite a few go berserk > ever since): > > https://en.wikipedia.org/wiki/Socially_necessary_labour_time > > https://en.wikipedia.org/wiki/Transformation_problem > > you have to understand the basic mathematical concepts of: > > a) combined rates, and > b) intratextual systems of linear equations > > Based on my teaching experience §b is easier to understand. Sorry I > couldn't find an "easier" explanation on youtube of that type of SLEs > than the one I used with my students preparing for the Regents: > > https://ergosumus.files.wordpress.com/2018/10/sle04-en.pdf > > the intratextuality of those problems matter to corpora research > because different strata of "like terms" ("verbs", "adjectives", ...) > is what creates grammar. "Crazy me" thinks you could to some extent > describe the "likeness of terms" underlying grammar! > ~ > I also have a guideline about combined rates which I successfully > used with my students: > > https://ergosumus.files.wordpress.com/2018/06/word_problems12-en00.pdf > ~ > What the eff do combined rates and SLEs have to do with Marx' > transformation problem? ;-) > > Well, notice that the -equitable aspect- used to solve combined rates > problems is the time (regardless of how differently fast one "works" > in comparison with others). There is also another type of combine rate > problems: you drive to some place with a friend who doesn't care about > driving fast, but you need to rest so she drives for a while ... that > problem is different from two people meeting at a place each driving > "on their own cars" (at their own average speed). > > Serge Heiden shared a paper about presidential debates which could be > also Mathematically studied as a CR kind of problem (even if > politicians as the crowd management clowns they all are don't have to > make sense, anyway), but as it happens with any dialogue there are > parts of the conversations in which both the cars and the time is > shared and other times when only (or more of) the time. I don't know > of a general Mathematical formulation to CRs kinds of problems, which > could be used for corpora research. On my "to do" list I have writing > papers studying Euclid's Elements and Plato's Dialogues in that way. > > Karl Marx's as part of his „Wertgesetz der Waren” (reChristened in > English as "labor theory of value") somewhat metaphorically stated > that the exchange value of a commodity is a function of "society's > labour-time". He also rendered his ideas as equations (in more of a > verbally descriptive, metaphorical way), but that phrase: "society's > labour-time", was and is still found from questionable to > unfalsifiably wild. I don't claim to have mind reading powers, but I > think in his letter to his friend Ludwig Kugelmann, the thoroughgoing > Hegelian Marx was, he clearly explained what he meant (page: 222 in > file, 208 in book): > > > https://archive.org/download/marxengelsselectedcorrespondence/Marx%20%26%20… > > Marx To Ludwig Kugelmann In Hanover London, July 11, 1868: > All that palaver about the necessity of proving the concept of value > comes from complete ignorance both of the subject dealt with and of > scientific method. Every child knows that a nation which ceased to > work, I will not say for a year, but even for a few weeks, would > perish. Every child knows, too, that the masses of products > corresponding to the different needs require different and > quantitatively determined masses of the total labour of society. That > this necessity of the distribution of social labour in definite > proportions cannot possibly be done away with by a particular form of > social production but can only change the mode of its appearance, is > self-evident. No natural laws can be done away with. What can change > in historically different circumstances is only the form in which > these laws assert themselves. And the form in which this proportional > distribution of labour asserts itself, in a state of society where the > interconnection of social labour is manifested in the private exchange > of the individual products of labour, is precisely the exchange value > of these products. > ~ > So, as I see it, in a Hegelian way, Marx was seeing the whole of > society as a corpus (in which we all live through our own > texts/narratives) talking about "socially necessary labour time" in > the way that "time" becomes the equitable aspect shared when > people/(-society as a whole-) work together as described by combined > rates kinds of problems. > > When "Alice buys some veggies from Bob, ..." she used money as > "equitable aspect" to get Bob's veggies (in the Marxian way they were > both part of a combine rates problem) and you tell me this is not > magical! > > > v. "some transactional electronic ("air"...) excitations": I don't get > this. > > you may pay with cash using coins or bills or using your debit card > which at the end of the day become transactional electronic > excitations on some hard drives. When you speak there is more to it > than vibrations/fluctuations of air. (I am referring to the medium > which Saussurean signifiers use) > > > vi. "your 'magic' and mine are different we are still able to > 'communicate'. How on earth do such things happen?": a disclaimer: I am not > using any magic in my attempts to communicate with you here. I try my best > to place myself in your shoes to guesstimate the points that you are trying > to get across. But many (as you can see above) didn't quite reach me. > > "I try my best to place myself in your shoes" ... ;-) Ha, ha, ha! > that is just a functional illusion. What do you know about "my shoes"? > I work as a gardener (which I love to do) so they are dirty and > smelly, ... I also love to eat garlic ... As I see things standing on > "my dirty and smelly shoes and voicing it from my garlicky mouth" > being honest and true to matters is good enough. > > lbrtchx > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to corpora-leave(a)list.elra.info > > >

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CFP - SIMBig 2023 in Mexico - Extended Deadline
by Juan Antonio Lossio-Ventura 04 Aug '23

04 Aug '23

> [Apologies for cross-posting] > ====================================================================== > FINAL DEADLINE OF PAPER SUBMISSION - **AUGUST 10** > ====================================================================== > > SIMBig 2023 - 10th International Conference on Information Management and Big Data > Where: Instituto Politécnico Nacional, Mexico DF, MEXICO > When: October 18 - 20, 2023 > Website: https://simbig.org/SIMBig2023/ > > ====================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS (to be confirmed) > ---------------------------------- > Mona Diab, Meta AI, USA Huan Liu, Arizona State University, USA > > and more to be announced soon... > > IMPORTANT DATES > ---------------------------------- > > July 24, 2023 August 10, 2023 --> Full papers and short papers due > August 28, 2023 --> Notification of acceptance > September 10, 2023 --> Camera-ready versions > October 18 - 20, 2023 --> Conference held in Mexico DF, Mexico > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899> (to be confirmed). > > Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979> > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Big/Masive Data > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Semantic Web > Data-driven Software Engineering > Data-driven software adaptation > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Crowdsourcing > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2023 proposes six special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2023/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2023/en/dise.html> - Data-Driven Software Engineering > EE-AI-HPC <https://simbig.org/SIMBig2023/en/eeaihpc.html> - Efficiency Enhancement for AI and High-Performance Computing > SNMAM <https://simbig.org/SIMBig2023/en/snmam.html> - Social Network and Media Analysis and Mining > > CONTACT > ---------------------------------- > > SIMBig 2023 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>)

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Postdoc in computational linguistics at Saarland University
by Alexander Koller 04 Aug '23

04 Aug '23

Research and teaching position in Computational Linguistics Department of Language Science and Technology Saarland University, Saarbrücken, Germany Start date: late 2023/early 2024 Contract duration: 3 years (can be extended) Payscale: E13 100% (postdoc) / E13 75% (PhD student) https://www.coli.uni-saarland.de/~koller/page.php?id=jobs We are looking to fill a research and teaching position in computational linguistics at the Department of Language Science and Technology at Saarland University. The position is part of the research group of Prof. Alexander Koller. It offers great flexibility in developing your own research and teaching agenda, and collaborations with other research groups are encouraged. The position is flexible with respect to topic, but it should connect thematically with current topics of interest to the research group. These include semantic parsing, reasoning with LLMs (e.g. planning, chain-of-thought), personalized dialogue and language generation, and the use of neurosymbolic models in NLP. You should have expertise in neural and/or linguistically principled methods in computational linguistics and be willing to take an active role in shaping the research and teaching environment of the department. The position includes a teaching load of up to four hours per week in the BSc Computational Linguistics (in German) and/or the MSc Language Science and Technology (in English). Both programs attract excellent and highly motivated students; it is not unusual for our students to publish papers at peer-reviewed conferences before graduation. The MSc students in particular are a very international crowd, with two thirds joining us from abroad. You will typically teach two seminars per semester on topics of your choice, which will allow you to motivate students to do BSc and MSc theses under your supervision. This is a position on the German TV-L E13 scale (100% position at the postdoc level; 75% position at the PhD student level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date could be late 2023 or early 2024; we would be willing to adapt to the time requirements of an ideal candidate. Requirements We are looking for candidates who have finished, or are about to complete, an excellent PhD degree (at the postdoc level) or MSc degree (at the PhD student level) in computational linguistics, computer science, or a related discipline. You must be proficient in English (spoken and written); the ability to teach in German is a plus. The position is primarily intended for applicants at the postdoc level, who should have demonstrated their research expertise through high-quality publications. We will consider applicants at the PhD level in exceptional cases. About the department Saarland University is one of the leading centers for computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. The department is a core member of the new Research Training Group "Neuroexplicit Models of Language, Vision, and Action", which is on track to grow into one of the largest centers for research on neurosymbolic models in NLP and other fields of AI in the world. It is also the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" and part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply Please submit your application at http://apply.coli.uni-saarland.de/ak23. Preference will be given to applications received by 31 August 2023. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Alexander Koller <koller(a)coli.uni-saarland.de>. Applications should _not_ be emailed to this address, but submitted through the online form.

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Postdoc (full-time) in LLM Robustness and Safety at the University of Bonn, Germany
by Prof. Dr. Lucie Flek 03 Aug '23

03 Aug '23

We are expanding our core research team at the University of Bonn, looking for a Postdoctoral Researcher in Natural Language Processing and Machine Learning. (The position is offered at a full-time TV-L E13 level, corresponding to the gross salary of cca 57,000 Eur/year, covering health and social insurance and 30 vacation days. The duration of the contract is two years, with career growth opportunities afterwards.) This exciting opportunity is a chance to work on adversarial robustness, safety and explainability in machine learning, applied to modern LLMs. This position will involve close collaboration with the Lamarr Institute for Machine Learning and Artificial Intelligence (https://lamarr-institute.org/), the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and the OpenGPT-X initiative (https://opengpt-x.de/). The candidate will have a central role in a project aiming to advance the state-of-the-art in the robustness and generalization capabilities of LLMs. Sounds like fun? Apply here: https://caisa-lab.github.io/resources/13-08-2023-postdoc-position.pdf You shall have a strong background in Computer Science with a specialization in Machine Learning or Natural Language Processing, and a corresponding publication record in global AI/ML/NLP venues. Demonstrable excellent python programming skills, e.g. through previous projects, and knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch) are expected. Our team consists of top researchers of varied backgrounds and cultures and we welcome applications from all appropriately qualified candidates worldwide! ____________________ Prof. Dr. Lucie Flek Data Science and Language Technologies Institut für Informatik / b-it Rheinische Friedrich-Wilhelms-Universität Bonn Friedrich-Hirzebruch-Allee 6 / 8, Raum 2.123 53115 Bonn, Germany Tel.: 0228-73-69200 flek(a)bit.uni-bonn.de

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Re: Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Albretch Mueller 03 Aug '23

03 Aug '23

On 7/31/23, Ada Wan <adawan919(a)gmail.com> wrote: > That having been expressed, here are a couple of points re RML that one should pay heed: > i. to what extent and in what context is this a technology relevant? If you were able to device an algorithm which taking as input only NL texts (composed of: 1) a start (semantic end); b) a sequence of characters from a relatively large and representative text bank; c) an end (a semantic start)) is able to exhaustively "deduce" the grammar of such texts, in addition to being able to use it with any language, you would then: 1) have defined a "space"/"coordinate system" for those texts, to frame (pretty much) all possible "meaningful 'points'"/"phrases" in terms of such grammar, which would also; 2) be a 0-search structure describing the text bank/corpus (every text segment would also become a pointer to every single actualization of that very segment in all texts, no more "n-grams" necessary!), which could; 3) be used with minimal turking/supervision to: 3.1) cleanse up all automatic translations from youtube; 3.2) keep multilingual corpora; 3.3) use it for automatic translations (demonstrably, in an almost foolproof, perfect way, since you always have the words/phrases with their context); 3.4) "cosmic/tree reading": instead reading books/sequences of characters, you would read that text as it relates to all other texts from the same topic; 3.5) parsing: you would keep a corpus of what you know so you wont have to reread about certain topics and aspects you already know (great Lord! how I hate reading a whole book to only find a few, at times marginal, sentences worth reading! or that "youthful" thing of thinking that they just discovered/created an idea because they are just verbalizing it or made a movie about it!) BTW, regarding that "parsing" aspect, what is the term used to describe the gradual process of "terminological inception"? I have heard the term "Adamization", but, even though that word doesn't really rub me the wrong way, I could imagine it is "too sexist" to some people. I wouldn't really care calling it Eveization or "pussyfication" or whatever. I just don't want to use the term that the government uses: "lexical priming" and "terminological inception" sounds too cumbersome as a verb: "terminologically incept"? doesn't sound OK in English; 3.6) of course, an easy application of that contextual parsing would be removing all that js crap and ads before they reach your awareness; ... 3.n) not last and definitely not least I am thinking hard about how to make sure police and politicians at least have a hard time while using what I have described to "freedom love" people (I know, I know, ... "3.n" doesn't "technically" pertain to quality of implementation issues ..., but I, for one, disagree. Giving the "all tangible things" (tm) panopticon in which we are all living these days, each of us in one's own "virtual prison cell" to call it somehow, we should also think about, be openly honest about such matters) I am working right now on such Leibnizian "characteristica universalis" kind of thing. First cleansing approx. 1.2 million texts mostly from archive.org, *.pub and the NYS Regents exams (nysedregents.org + nysl.ptfs.com) which they have, at least partially, translated to more than 10 languages. Is that relevant enough to you? ;-) I am also being quite selfish about it because I have always dreamed of being able to "read"/mind all texts which have ever been written in the same way that teens think they have to have sex with everybody in town to make sense of things. > ii. one can certainly dissect/decompose texts ... Computing power has become insanely cheap, but it has also enabled too much "cleverhansing" out there. The Delphic phrase: "you can make sense or money" these times translates as some sort of corollary to: "using computers and then thinking about it makes you smart"; but, does it really? It amazes me how easily you can "dissect"/"decompose texts", talk about "tensors", "vectors", ... (I am not trying to police language usage, it just amazes me); let alone all the insufferable bsing claims by the "Artificial Intelligentsia". I would go with one character after the other and an open attempt to use the minimal amount of principles to then see what I get. IMO, when you start getting too smart about what you do, of course, you will "see" how smart you are. The poet in me likes Borges' stanzas: "... el nombre es arquetipo de la cosa, en las letras de 'rosa' está la rosa y todo el Nilo en la palabra 'Nilo'" ("its name is a thing's archetype, in the letters of 'rose' is the rose and the whole of the Nile (river) in the word 'Nile'") > II. Re ""magical" in the sense that when we go about our intersubjective business": some intersubjectivity can be further clarified. I don't see much of your examples as being "magical". I actually do! How could you clarified intersubjectivity? I am trying to do so (somewhat) Mathematically (to the extent you could). Could you share any papers, "prior art" on such matters? > ii. "other people may read, mind, as well ...;": so? which is a good thing it is alright, fine and dandy in the hippie way, I meant. > iii. "Alice bought some veggies from Bob, ...)": this I don't understand. > iv. "We see more in money ("words", ...) than just a piece of paper" iii. and iv. overlap to some extent so I will try to explain them both quickly (which is impossible since you can write philosophies about each line, but there I'll go). To understand what Marx (may have) meant by „gesellschaftlich notwendige Arbeit” ("socially necessary labour time", wording which has made quite a few go berserk ever since): https://en.wikipedia.org/wiki/Socially_necessary_labour_time https://en.wikipedia.org/wiki/Transformation_problem you have to understand the basic mathematical concepts of: a) combined rates, and b) intratextual systems of linear equations Based on my teaching experience §b is easier to understand. Sorry I couldn't find an "easier" explanation on youtube of that type of SLEs than the one I used with my students preparing for the Regents: https://ergosumus.files.wordpress.com/2018/10/sle04-en.pdf the intratextuality of those problems matter to corpora research because different strata of "like terms" ("verbs", "adjectives", ...) is what creates grammar. "Crazy me" thinks you could to some extent describe the "likeness of terms" underlying grammar! ~ I also have a guideline about combined rates which I successfully used with my students: https://ergosumus.files.wordpress.com/2018/06/word_problems12-en00.pdf ~ What the eff do combined rates and SLEs have to do with Marx' transformation problem? ;-) Well, notice that the -equitable aspect- used to solve combined rates problems is the time (regardless of how differently fast one "works" in comparison with others). There is also another type of combine rate problems: you drive to some place with a friend who doesn't care about driving fast, but you need to rest so she drives for a while ... that problem is different from two people meeting at a place each driving "on their own cars" (at their own average speed). Serge Heiden shared a paper about presidential debates which could be also Mathematically studied as a CR kind of problem (even if politicians as the crowd management clowns they all are don't have to make sense, anyway), but as it happens with any dialogue there are parts of the conversations in which both the cars and the time is shared and other times when only (or more of) the time. I don't know of a general Mathematical formulation to CRs kinds of problems, which could be used for corpora research. On my "to do" list I have writing papers studying Euclid's Elements and Plato's Dialogues in that way. Karl Marx's as part of his „Wertgesetz der Waren” (reChristened in English as "labor theory of value") somewhat metaphorically stated that the exchange value of a commodity is a function of "society's labour-time". He also rendered his ideas as equations (in more of a verbally descriptive, metaphorical way), but that phrase: "society's labour-time", was and is still found from questionable to unfalsifiably wild. I don't claim to have mind reading powers, but I think in his letter to his friend Ludwig Kugelmann, the thoroughgoing Hegelian Marx was, he clearly explained what he meant (page: 222 in file, 208 in book): https://archive.org/download/marxengelsselectedcorrespondence/Marx%20%26%20… Marx To Ludwig Kugelmann In Hanover London, July 11, 1868: All that palaver about the necessity of proving the concept of value comes from complete ignorance both of the subject dealt with and of scientific method. Every child knows that a nation which ceased to work, I will not say for a year, but even for a few weeks, would perish. Every child knows, too, that the masses of products corresponding to the different needs require different and quantitatively determined masses of the total labour of society. That this necessity of the distribution of social labour in definite proportions cannot possibly be done away with by a particular form of social production but can only change the mode of its appearance, is self-evident. No natural laws can be done away with. What can change in historically different circumstances is only the form in which these laws assert themselves. And the form in which this proportional distribution of labour asserts itself, in a state of society where the interconnection of social labour is manifested in the private exchange of the individual products of labour, is precisely the exchange value of these products. ~ So, as I see it, in a Hegelian way, Marx was seeing the whole of society as a corpus (in which we all live through our own texts/narratives) talking about "socially necessary labour time" in the way that "time" becomes the equitable aspect shared when people/(-society as a whole-) work together as described by combined rates kinds of problems. When "Alice buys some veggies from Bob, ..." she used money as "equitable aspect" to get Bob's veggies (in the Marxian way they were both part of a combine rates problem) and you tell me this is not magical! > v. "some transactional electronic ("air"...) excitations": I don't get this. you may pay with cash using coins or bills or using your debit card which at the end of the day become transactional electronic excitations on some hard drives. When you speak there is more to it than vibrations/fluctuations of air. (I am referring to the medium which Saussurean signifiers use) > vi. "your 'magic' and mine are different we are still able to 'communicate'. How on earth do such things happen?": a disclaimer: I am not using any magic in my attempts to communicate with you here. I try my best to place myself in your shoes to guesstimate the points that you are trying to get across. But many (as you can see above) didn't quite reach me. "I try my best to place myself in your shoes" ... ;-) Ha, ha, ha! that is just a functional illusion. What do you know about "my shoes"? I work as a gardener (which I love to do) so they are dirty and smelly, ... I also love to eat garlic ... As I see things standing on "my dirty and smelly shoes and voicing it from my garlicky mouth" being honest and true to matters is good enough. lbrtchx

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PhD position on SocialNLP at University of Tartu
by Somnath Banerjee 02 Aug '23

02 Aug '23

Dear all, I am looking for motivated students for PhD (Fully Funded 4-year) on SocialNLP. SocialNLP is a new interdisciplinary area of natural language processing (NLP) and social computing. The position is at the University of Tartu. UNIVERSITY: - The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. - As of 2023, the University of Tartu belongs to the top 1% of the world's universities. SCOPE: - Content analysis on Social Media - Information Disorder on Social Media - Disaster Management Using Social Media - Explainable AI in SocialNLP BENIFITS: - Scholarship approximately 2000 Euro/month gross amount. - Health insurance cover. - Travel grant for attending conferences and workshops, etc. HOW TO APPLY: Interested applicants send their CV to me (somnath.banerjee(a)ut.ee) with subject line "SocialNLP: PhD position" Your CV must include: - final year undergraduate/graduate project (brief description: max 150 words) - pursued relevant subjects at undergraduate and/or Master level (if any) - relevant work experience (if any) - publications (if any) - The name and email contacts of academic referees(optional) Note: - Master-level students, who are in their final semester, also can apply. -**Do not send academic certificates, motivation letter, letter of recommendations with your application. - Upon initial selection based on CV, additional documents will be asked for further processing, such as motivation letter, etc. - Applications will be considered until the position is filled. - Feel free to contact me for additional details with the subject line "SocialNLP: PhD position queries". Kind regards, Somnath Banerjee Institute of Computer Science University of Tartu webpage: http://www.ut.ee/~somnath/

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SemDial 2023 - MariLogue: Virtual attendance
by Andy Lücking 02 Aug '23

02 Aug '23

Tthe 27th edition of the SemDial workshop series, which aims to bring together researchers working on the semantics and pragmatics of dialogue, is around the corner. If you want to attend the conference remotely, please register for the virtual attendance option. The payment deadline is August 8th. All talks will be streamed online via MSTeams. All information and links can be found here: https://mezzanine.um.si/en/conference/semdial-2023-marilogue/

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Two PhD positions in multilingual NLP at KU Leuven
by Miryam de Lhoneux 02 Aug '23

02 Aug '23

Dear colleagues, The NLP group within the HCI unit of the department of Computer Science at KU Leuven (Belgium) has two open positions in multilingual NLP. The PhDs will be supervised by me with some collaboration expected with Desmond Elliott from the University of Copenhagen. All applications received before the 8th of September will receive full consideration and the positions will remain open until filled after that. More information and application link here: https://www.kuleuven.be/personeel/jobsite/jobs/60242780?hl=en&lang=en Please do not hesitate to contact me if you have any question, although note that I am on parental leave until the deadline and may not answer fast. Best, Miryam --- Miryam de Lhoneux (she/her) Assistant Professor in Natural Language Processing Department of Computer Science KU Leuven https://people.cs.kuleuven.be/~miryam.delhoneux/ <https://people.cs.kuleuven.be/~miryam.delhoneux/>

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Inquiry about Computer Vision or Deep Learning List
by awaisrwp＠yahoo.com 02 Aug '23

02 Aug '23

Dear All, I hope this message finds you well. I am currently working on a computer vision and deep learning project, and I am interested to know if there is a curated list like this one but specifically tailored for computer vision or deep learning tasks. If such a list exists, I would greatly appreciate it if you could provide me with the link to subscribe or access it. You can contact me via email if you have some suggestions ⇾ awaisrwp(a)yahoo.com. Thank you in advance for your assistance. Best regards, Regards, Ch Muhammad Awais

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Re: You have been unsubscribed from the Corpora mailing list
by Eric Atwell 02 Aug '23

02 Aug '23

I received your email, "You have been unsubscribed from the Corpora mailing list" How do I re-subscribe?? Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" (2 days/week) Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 OCOM5300 LISS1031 Online MSc AI programme leader School of Computing, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric https://www.edubots.eu<https://www.edubots.eu/> ________________________________ From: corpora-bounces(a)list.elra.info <corpora-bounces(a)list.elra.info> Sent: 02 August 2023 04:00 To: Eric Atwell <E.S.Atwell(a)leeds.ac.uk> Subject: You have been unsubscribed from the Corpora mailing list

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AI and CS Faculty Positions at Open University of Cyprus
by Loizos Michael 02 Aug '23

02 Aug '23

Dear colleagues, The Open University of Cyprus invites applications for the following positions in the Faculty of Pure and Applied Sciences: • One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Human AI Interaction". • One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Information Technologies in Education and Learning". More information here: https://www.ouc.ac.cy/images/files/hr/2022/%CE%A0%CF%81%CE%BF%CE%BA%CE%AE%C… Regards, Loizos

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Job vacancy: Lecturer in Spanish and Linguistics
by Charlotte Taylor 01 Aug '23

01 Aug '23

We are recruiting a Lecturer in Spanish and Linguistics at the University of Sussex. Full details: https://www.sussex.ac.uk/about/jobs/lec-span-20345 Short summary: We are seeking to appoint a Lecturer in Spanish and Linguistics (Education and Research) to contribute to teaching, research and administration in the Department of Language Studies (Modern Languages) and the Department of English Language and Linguistics. General teaching expectations include: * Contributing to teaching and module convening on the new MA in Translation Studies. * Contributing to teaching and module convening on undergraduate and postgraduate modules in English Language and Linguistics. * Contributing to teaching and module convening on Spanish language modules on the Modern Language electives and pathways. Additional responsibilities include: * Post-graduate supervision. * Contributing to the research profile of Language Studies and Linguistics. * Undertaking administrative responsibilities --- Dr Charlotte Taylor<https://profiles.sussex.ac.uk/p329327-charlotte-taylor> Senior Lecturer in English Language & Linguistics School of Media, Arts & Humanities, University of Sussex Latest article: Taylor, C. 2022. The affordances of metaphor for diachronic corpora & discourse analysis: WATER metaphors and migration. International Journal of Corpus Linguistics. [online first]<https://www.jbe-platform.com/content/journals/10.1075/ijcl.22004.tay> Books: Corpus Approaches to Discourse<https://www.routledge.com/Corpus-Approaches-to-Discourse-A-Critical-Review/…> | Absence and Silence in Discourse<https://www.palgrave.com/gp/book/9783319645797> | Patterns and Meanings in Discourse<https://benjamins.com/catalog/scl.55> | Mock Politeness in English and Italian<https://benjamins.com/catalog/pbns.267> | The Language of Persuasion in Politics<https://www.routledge.com/The-Language-of-Persuasion-in-Politics-An-Introdu…> Bibliography: Nostalgia in Discourse<https://nostalgiadiscourse.wordpress.com/home/>

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Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Albretch Mueller 31 Jul '23

31 Jul '23

At times google showers you with senseless links. lbrtchx

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Two Open Positions at JMU (CAIDAS), Data Science Chair
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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Two Open Positions
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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10th International Conference on Behavioural and Social Computing (BESC 2023): Call for Late Breaking Results
by georgeangelos60＠gmail.com 30 Jul '23

30 Jul '23

*** Call for Late Breaking Results *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ (*** Submission Deadline: 31 August, 2023 AoE ***) The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites now submissions for Late Breaking Results. The submitted papers should be of original, high-quality research addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications • Computational models of social phenomena • Social behaviour • Social network analysis • Semantic web • Collective intelligence • Security, privacy, trust in social contexts • Social recommendation • Social influence and social contagions • Quantifying offline phenomena through online data • Forecasting of social phenomena • Science and technology studies approaches to computational social science • Social media and health behaviours • Social psychology and personality • New theories, methods, and objectives in computational social science Digital Humanities • Digital media • Digital humanities • Digital games and learning • Digital footprints and privacy • Crowd dynamics • Digital arts • Digital healthcare • Activity streams and experience design • Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) • Decision analytics • E-Business • Decision analytics • Computational finance • Societal impacts of IS • Human behaviour and IS • IS in healthcare • IS security and privacy • IS strategy, structure and organizational impacts • Service science and IS Natural Language Processing • Web mining and its social interpretations • Sentiment Analysis, Stylistic Analysis, and Argument Mining • Opinion mining and social media analytics • Credibility of online content • Computational Linguistics • Mining big social data • Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics • Behaviour change • Positive technology • Personalization for individuals, groups and populations • Large scale personalization, adaptation and recommendation • Web dynamics and personalization • Privacy, perceived security and trust • Technology and Wellbeing • Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) • E-Learning and M-Learning • Open and Distance Learning • User modeling and personalization in TEL • TEL in secondary and in higher education • New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ● Computational Social Psychology in Post Covid-19 Period ● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ● Intelligent E-Learning at Post Covid-19 Era ● Big Data and AI-Powered Decision Support Systems in Business ● Understanding the Citizen's Behavior in Cognitive Cities ● Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: • All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). • The page count above excludes the references (but includes any appendices). • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. • The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. • All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES • Submission of all papers in the LBR category: 31 August 2023 AoE • Notification of acceptance for submitted papers: 15 September 2023 • Camera-Ready Submission: 1 October 2023 • Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair • Guandong Xu, University of Technology Sydney, Australia General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • Ji Zhang, University of Southern Queensland, Australia Special Session Chairs • Taotao Cai, University of Southern Queensland, Australia • Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair • Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair • Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair • Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs • Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore • Thanveer Shaik, University of Southern Queensland, Australia • Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster • Shiqing Wu, University of Technology Sydney, Australia

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16th BUCC Workshop at RANLP 2023: New submission deadline July 31, 2023
by Reinhard Rapp 29 Jul '23

29 Jul '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology Invited speaker: Sida I. Wang, Meta AI (FAIR) ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc.? The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 31, 2023: Paper submission deadline (extended) August 12, 2023: Notification of acceptance August 25, 2023: Camera ready final papers September 7, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr PROGRAMME COMMITTEE * Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran) * Thierry Etchegoyhen (Vicomtech, Spain) * Philippe Langlais (Université de Montréal, Canada) * Yves Lepage (Waseda University, Japan) * Shervin Malmasi (Amazon, USA) * Emmanuel Morin (Université de Nantes, France) * Dragos Stefan Munteanu (RWS, USA) * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Nasredine Semmar (CEA LIST, Paris, France) * Serge Sharoff (University of Leeds, UK) * Richard Sproat (OGI School of Science & Technology, USA) * Tim Van de Cruys (KU Leuven, Belgium) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) _______________________________________________ GSCL-Mitglieder mailing list GSCL-Mitglieder(a)lists.ids-mannheim.de https://lists.ids-mannheim.de/mailman/listinfo/gscl-mitglieder

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BioREd Track @ BioCreative VIII Challenge and Workshop (Call for Participation)
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 28 Jul '23

28 Jul '23

[apologies for cross-posting] BioRED track @ BioCreative VIII Challenge and Workshop Where, When: The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. BioCreative VIII Track 1: BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu) This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor. Participation: Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks. To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com> Key dates: * Test data (only title/abstract) available: September 1, 2023 * Results Submission (sub-task 2, end-to-end system): September 7, 2023 * Test data (title/abstract and entity annotation) available: September 8, 2023 * Results Submission (sub-task 1, relation extraction): September 12, 2023 * Short technical systems description paper due: September 30, 2023 * Invites for presentation at the workshop: October 10, 2023 Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. More Information: Webpage<https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-1/> Organizing Committee * Rezarta Islamaj, National Library of Medicine * Po-Ting Lai, National Library of Medicine * Chih-Hsuan Wei, National Library of Medicine * Ling Luo, Dalian University of Technology * Zhiyong Lu, National Library of Medicine

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PhD and Postdoc in CSS, University of Tartu, Estonia
by Rajesh Sharma 28 Jul '23

28 Jul '23

Hello All, Computational Social Science Group (https://css.cs.ut.ee/) is looking for PhD and Postdoctoral applicants which starts this autumn or ASAP ! What is the topic about? ==================== We are interested in topics related to misinformation, media biasness (fairness and explainability) on online social media. We are also open to other topics if they overlap with the interests of our group. Please do contact if you are interested at contact(a)css.cs.ut.ee Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre ( https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary: For PhD applicants, the gross salary is 2000 Euros per month for four years, and for postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: For PhD applicants, master's degree is required and for postdoc, PhD degree should be in hand. We are open to discuss positions with non-computer science students (who have good programming knowledge). Kind Regards Rajesh Sharma Associate Prof, and Erasmus+ Coordinator, Institute of Computer Science, Head, Computational Social Science Group, University of Tartu, Estonia. Email: rajesh.sharma(a)ut.ee https://cs.ut.ee/en

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 27 Jul '23

27 Jul '23

[Apologies for multiple postings]* * We are happy to announce that 66 new monolingual lexicons and 1 speech resource are now available in our catalogue. Moreover, 4 speech resources are now available at reduced fees. *1) New Language Resources:* *Bitext Lexical Datasets* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Lexical+Dataset> The series of *Bitext Lexical Datasets* for the generic vocabulary includes Lemmas, POS tagging, Frequency, Named Entities and Offensive features. Depending on the dataset and language, other syntactic and morphological features are also provided. The following 15 languages are available: As a complement to the datasets mentioned above, 11 datasets of *Language Variants* can also be obtained: 1. Arabic (MSA) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0136/>dataset and Arabic Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0151/>dataset consisting of Arabic Gulf, Arabic Najdi, Arabic Egypt and Arabic MSA variants, 2. Chinese (Simplified) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0137/>dataset, Chinese (Traditional) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0138/>dataset, and Chinese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0152/>dataset (Simplified + Traditional), 3. Dutch <http://catalog.elra.info/en-us/repository/browse/ELRA-L0139/>dataset and Dutch Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0153/>dataset consisting of Netherlands and Belgium variants, 4. English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0140/>dataset and English Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0154/>dataset consisting of United States, United Kingdom and India variants, 5. Finnish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0141/>dataset and Finnish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0155/>dataset consisting of Standard and Colloquial Finnish variants, 6. French <http://catalog.elra.info/en-us/repository/browse/ELRA-L0142/>dataset and French Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0156/>dataset consisting of France, Canada and Switzerland variants, 7. German <http://catalog.elra.info/en-us/repository/browse/ELRA-L0143/>dataset and German Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0157/>dataset consisting of Germany and Switzerland variants, 8. Indonesian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0144/>dataset, 9. Italian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0145/>dataset and Italian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0158/>dataset consisting of Italy and Switzerland variants, 10. Malay <http://catalog.elra.info/en-us/repository/browse/ELRA-L0146/>dataset, 11. Norwegian (Bokmal) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0147/>dataset and Norwegian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0159/>dataset consisting of Bokmal and Nynorsk variants, 12. Portuguese <http://catalog.elra.info/en-us/repository/browse/ELRA-L0148/>dataset and Portuguese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0160/>dataset consisting of Portugal and Brazil variants, 13. Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0149/>dataset and Spanish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0161/>dataset consisting of Spain, North America, Central America, Andes and Southern Cone variants, *Bitext Synthetic Data* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Synthetic+Data> The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English and Spanish languages. They cover the most common intents for each vertical and include a large number of example utterances for each intent, with optional entity/slot annotations for each utterance. Data is distributed as models or open text files. For each language, the following verticals are available: 1. Automotive: 52 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0162/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0182/>) 2. Retail banking: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0163/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0183/>) 3. Education: 37 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0164/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0184/>) 4. Event and ticketing: 25 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0165/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0185/>) 5. Field Service: 27 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0166/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0186/>) 6. Healthcare: 40 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0167/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0187/>) 7. Hospitality: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0168/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0188/>) 8. Insurance: 38 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0169/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0189/>) 9. Legal : 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0170/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0190/>) 10. Manufacturing: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0171/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0191/>) 11. Media Streaming: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0172/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0192/>) 12. Mortgage and loans: 39 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0173/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0193/>) 13. Moving and storage: 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0174/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0194/>) 14. Real estate and construction: 28 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0175/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0195/>) 15. Restaurant/ bar chains: 30 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0176/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0196/>) 16. Retail Ecomm: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0177/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0197/>) 17. Telecommunication: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0178/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0198/>) 18. Travel: 33 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0179/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0199/>) 19. Utilities: 21 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0180/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0200/>) 20. Wealth management: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0181/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0201/>) *Persian Kids’ Speech Corpus* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0487/> The Persian Kids’ Speech Corpus consists of speech signals recorded by 286 children (141 girls, 145 boys), from 6 to 9 years old, through an Andreas Mic Anti-Noise microphone and a Premium Speechmike headphone. This recorded data was manually checked and labeled. Finally, a corpus containing 162,395 samples with a duration of 33 hours and 44 minutes was created. The samples are distributed as follows: 1. 29,057 Words (478 minutes), 2. 17,429 SubWords (260 minutes), 3. 43,838 Syllables (485 minutes), 4. 70,078 Phonemes (765 minutes), 5. 1,993 Extra Vocabulary (36 minutes). The prepared speech corpus comprehensively contains all the 29 Persian phonemes, 118 syllables, 56 sub-words, and 711 words and is particularly applicable to speech recognition and linguistics studies. *2) Reduced fees for the following speech resources:* * *Chinese Mandarin (South) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0397/> * *Chinese Mandarin (North) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0398/> * *Japanese Kids Speech database (Lower Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0411/> * *Japanese Kids Speech database (Upper Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0412/>** For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please *contact us* <mailto:contact@elda.org>. _________________________________________ Visit the *ELRA Catalogue of Language Resources* <http://catalog.elra.info> Visit the *Universal Catalogue* <http://universal.elra.info>** *Archives * <http://www.elra.info/en/catalogues/language-resources-announcements>of ELRA Language Resources Catalogue Updates /Our apologies if you have received multiple copies of this announcement./

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CMC-Corpora Conference 2023 14-15th September 2023, Mannheim: Last Chance for Early Bird Tickets
by cotgrove＠ids-mannheim.de 27 Jul '23

27 Jul '23

Dear List Members, You still have until 31st July (inclusive) to benefit from the Early Bird Discount when registering for the CMC-Corpora Conference 2023 in Mannheim, Germany on 14-15th September 2023. Registration is via EasyChair using the link: https://www.uni-mannheim.de/cmc-corpora2023/registration Keynote Speakers: Unn Røyneland (University of Oslo) Tatjana Scheffler (Ruhr University of Bochum) The conference programme and list of talks are available here: https://www.uni-mannheim.de/cmc-corpora2023/programme We look forward to seeing you in Mannheim in September! The CMC-Corpora Conference 2023 organising committee Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt

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Third call for papers DHASA Conference 2023
by Menno Van Zaanen 27 Jul '23

27 Jul '23

Third call for papers DHASA Conference 2023 https://dh2023.digitalhumanities.org.za/ Theme: "Digital Humanities for Inclusion" The Digital Humanities Association of Southern Africa (DHASA) is pleased to announce its fourth conference, focusing on the theme "Digital Humanities for Inclusion." In a region where the field of Digital Humanities is still relatively underdeveloped, this conference aims to address this gap and foster growth and collaboration in the field. The conference offers an opportunity for researchers interested in showcasing their work in the broad field of Digital Humanities to come together. By doing so, the conference provides a comprehensive overview of the current state-of-the-art in Digital Humanities, particularly within the Southern Africa region. As such, we welcome submissions related to Digital Humanities research conducted by individuals from Southern Africa or research focused on the geographical area of Southern Africa. Furthermore, the conference serves as a platform for information sharing and networking among researchers passionate about Digital Humanities. By bringing together experts working on Digital Humanities in Southern Africa or with a focus on Southern Africa, we aim to promote collaboration and facilitate further research in this dynamic field. In addition to the main conference, affiliated workshops and tutorials will be organized, providing researchers with valuable insights into novel technologies and tools. These supplementary events are designed for researchers interested in specific aspects of Digital Humanities or seeking practical information to enter or advance their knowledge in the field. The DHASA conference welcomes interdisciplinary contributions from researchers in various domains of Digital Humanities, including, but not limited to, language, literature, visual art, performance and theatre studies, media studies, music, history, sociology, psychology, language technologies, library studies, philosophy, methodologies, software and computation, and more. Our goal is to cultivate an inclusive scientific community of practice within Digital Humanities. Suggested topics include the following: * Digital archives and the preservation of marginalized voices; * Intersectionality and the digital humanities: exploring the intersections of race, gender, sexuality, and class in digital research and activism; * Activism and social change through digital media: how digital humanities tools and methodologies can be used to promote inclusion; * Engaging marginalized communities in the creation and use of digital tools and resources; * Exploring the role of digital humanities in decolonizing knowledge and promoting indigenous perspectives; * The ethics of data collection and analysis in digital humanities research related; * The role of digital humanities in promoting inclusive and equitable pedagogy; * Digital humanities and inclusion in the context of global perspectives and international collaborations; * Critical approaches to digital humanities and inclusion: examining the limitations and possibilities of digital tools and methodologies in promoting inclusion; and * Collaborative digital humanities projects with non-profit organizations, community groups, and cultural institutions; * Any other digital humanities-related topic that serves the Southern African community. Submission Guidelines The DHASA conference 2023 asks for three types of submissions: * Long papers: Authors may submit long papers consisting of a maximum of 8 content pages and unlimited pages for references and appendix. The final versions of accepted long papers will be granted an additional page (up to 9 pages) to incorporate reviewers' comments. * Short papers: Authors may submit short papers with a maximum of 5 content pages and unlimited pages for references and appendix. The final versions of accepted short papers will be allowed an extra page (up to 6 pages) to accommodate reviewers' comments. Short papers accepted for the conference will be presented as posters. * Abstracts: Authors can submit abstracts of 250-300 words. Note that before submitting your contribution, you are required to submit an abstract before the abstract submission deadline. This holds for *all* submissions. The actual submission will need to be submitted before the submission deadline. More information on the submission process can be found on the submission page: https://dh2023.digitalhumanities.org.za/submission/ We particularly encourage student submissions where the first author is a student. All accepted long and short paper submissions that are presented at the conference will be published in the Journal of Digital Humanities Association of Southern Africa, see https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts of the full papers and the lightning talks will be published in a book of abstracts before the conference. Important dates Abstract submission deadline: 8 August 2023 Ful paper submission deadline: 15 August 2023 Date of notification: 30 September 2023 Camera-ready copy deadline: 6 November 2023 Conference: 27 November 2023 - 1 December 2023 Conference format: Face-to-face Conference venue: Nelson Mandela University, Eastern Cape South Africa NOTE: Non-presenting delegates have the option to attend online. Co-located events Several co-located events are currently being prepared. These will be updated on the conference website. Organizing Committee * Johannes Sibeko, Nelson Mandela University * Aby Louw, Council for Scientific and Industrial Research * Alan Murdoch, Nelson Mandela University * Amanda du Preez, University of Pretoria * Andiswa Bukula, South African Centre for Digital Language Resources * Andiswa Mvanyashe, Nelson Mandela University * Avashna Govender, Council for Scientific and Industrial Research * Gabby Dlamini, Nelson Mandela University * Ilana Wilken, Council for Scientific and Industrial Research * Jonathan van der Walt, Nelson Mandela University * Laurette Marais, Council for Scientific and Industrial Research * Mukhtar Raban, Nelson Mandela University * Nomfundo Khumalo, Nelson Mandela University * Menno Van Zaanen, South African Centre for Digital Language Resources -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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Research Associate for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse”
by Robert Fuchs 26 Jul '23

26 Jul '23

Research Associate (English linguistics) for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse” https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=7d287ef… Start date 01.10.2023 Application deadline 20.08.2023 The Department of English at the University of Hamburg is seeking a Research Associate to join a team of researchers working on an interdisciplinary project, funded through the Cross-Disciplinary Labs initiative, titled "Predicting COVID-19 Vaccination Uptake from Public Discourse: A Machine Learning Approach". In this project, we will explore the relationship between public discourse and COVID-19 vaccination uptake and how to use real world data from Germany and England to track public opinion on COVID-19 vaccination, with the ultimate aim of identifying strategies to increase the uptake of COVID-19 vaccinations. The analysis will apply big data and machine learning techniques to Twitter data and will link these to information on local vaccination rates. From a policy perspective, the output of this project will inform public health responses in real time in future pandemics. At the heart of the project is an interdisciplinary approach, combining health economics and linguistics with new methods from data science. The successful candidate will work under the supervision of Professor Robert Fuchs (English Linguistics) and will join a vibrant working group focused on research in the fields of data-intensive discourse analysis, varieties of English and Learner Corpus Research (see https://sites.google.com/view/rflinguistics/home). We offer flexible working arrangements, a supportive research environment and the opportunity for professional growth through skills development in cutting edge research methods in linguistics and data science. Specific duties of the Research Associate include the collection and analysis of Twitter data, the preparation and co-authorship of research publications and conference presentations, participation in international conferences as well as contributing to the strengthening of data science at the University of Hamburg through the Cross-Disciplinary Labs network. The position does not involve any teaching duties. The Research Associate is also encouraged to work towards a PhD, the topic of which should be broadly aligned with the Principal Investigator’s research interests, and may be, but does not need to be, connected to the project. Applicants need to be in possession of a Master’s degree (or equivalent) by the starting date of the position. Applications should include a cover letter explaining the candidate’s qualifications and interest in the position, a CV, copies of Bachelor’s and Master’s degree certificates (where applicable), a representative piece of writing (e.g. MA thesis, term paper) demonstrating the candidate’s skills in academic writing, data analysis and/or English linguistics , as well as a PhD proposal (optional, no more than five pages). Requirements A university degree in a relevant field. excellent proficiency in English excellent skills in academic writing experience with the statistical analysis of linguistic data (esp. with R and/or Python), the analysis of metaphorical language, corpus linguistics and/or discourse analysis are of advantage -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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Call4Papers: GEM (Generation, Evaluation & Metrics Workshop) @ EMNLP 2023
by Kaustubh Dhole 26 Jul '23

26 Jul '23

Hello All, The Third Version of the Generation, Evaluation & Metrics (GEM) Workshop<https://gem-benchmark.com/> will be held as part of EMNLP<https://2023.emnlp.org/>, December 6-10, 2023, Singapore. The GEM workshop aims to encourage the development of model auditing & human evaluation strategies, and to popularize model evaluations in languages beyond English. We welcome submissions related, but not limited to, the following topics: * 💎 Automatic evaluation of generation systems (example<https://aclanthology.org/2021.gem-1.8/>, example<https://aclanthology.org/2021.gem-1.1/>, example<https://aclanthology.org/2022.gem-1.26/>) * 💎 Creating NLG corpora and challenge sets (example<https://aclanthology.org/2022.tacl-1.4/>, example<https://openreview.net/forum?id=CSi1eu_2q96>, example<https://aclanthology.org/2022.gem-1.6/>) * 💎 Critiques of benchmarking efforts and responsibly measuring progress in NLG (example<https://aclanthology.org/2020.emnlp-main.393/>, example<https://openreview.net/forum?id=j6NxpQbREA1>) * 💎 Effective and/or efficient NLG methods that can be applied to a wide range of languages and/or scenarios (example<https://aclanthology.org/2020.tacl-1.47/>, example<https://aclanthology.org/2021.gem-1.16/>, example<https://aclanthology.org/2022.gem-1.1/>) * 💎 Application and evaluation of generation models interacting with external data and tools (example<https://arxiv.org/abs/2302.04761>, example<https://arxiv.org/abs/2304.09842>, example<https://arxiv.org/abs/2302.07842>) * 💎 Sociotechnical perspectives of employing large language models (example<https://dl.acm.org/doi/abs/10.1145/3531146.3533088>) * 💎 Standardizing human evaluation and making it more robust (example<https://aclanthology.org/2021.tacl-1.87/>, example<https://aclanthology.org/2022.humeval-1.7/>, example<https://aclanthology.org/2022.gem-1.12/>) If you are interested, you can check out last year's workshop websites from ACL 2021<https://gem-benchmark.com/workshop/2021> and EMNLP 2022<https://gem-benchmark.com/workshop/2022>. Industrial Track - Unleashing the Power of NLP: Bridging the Gap between Academia and Industry GEM 2023 is proud to announce the launch of its Industrial Track, which aims to provide actionable insights to industry professionals and to foster collaborations between academia and industry. Shared Task We are organizing a shared task focused on multilingual summarization, including human and automatic evaluation. The Shared Task will be run "Backwards": the workshop will serve as a platform to pre-register your hypotheses. More info on how to participate to come! Important Dates Note: For any questions, please email gem-benchmark-chairs(a)googlegroups.com<mailto:gem-benchmark-chairs@googlegroups.com> Paper Submission Dates * 📅 8 September 2023: Workshop paper submission deadline * 📅 6 October 2023: Workshop paper notification deadline * 📅 18 October 2023: Workshop paper camera ready deadline Workshop Dates * 📅 December 2023 EMNLP Website: https://gem-benchmark.com/workshop Regards, Kaustubh Dhole Twiiter<https://twitter.com/KaustubhDhole> <http://in.linkedin.com/pub/kaustubh-dhol%C3%A9/2a/9b3/392>

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