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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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