June 2023 - Corpora - ELRA lists

NLP4CALL 2023 Final call for papers
by David Alfter 18 Mar '24

18 Mar '24

== 12th NLP4CALL, Tórshavn, Faroe Islands== The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL - that describe empirical studies on language learner data. This year a special focus is given to work done on error detection/correction and feedback generation. We encourage paper presentations and software demonstrations describing the above- mentioned themes primarily, but not exclusively, for the Nordic languages. ==Shared task== NEW for this year is the MultiGED shared task on token-level error detection for L2 Czech, English, German, Italian and Swedish, organized by the Computational SLA working group. For more information, please see the Shared Task website: https://github.com/spraakbanken/multiged-2023 ==Invited speakers== This year, we have the pleasure to announce two invited talks. The first talk is given by Marije Michel from the University of Amsterdam. The second talk is given by Pierre Lison from the Norwegian Computing Center. ==Submission information== Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NLP4CALL template for the workshop this year. The author kit can be accessed here, alternatively on Overleaf: <https://spraakbanken.gu.se/sites/default/files/2023/NLP4CALL%20workshop%20t…> <https://spraakbanken.gu.se/sites/default/files/2023/nlp4call%20template.doc> <https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…> Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2023>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments. Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>). ==Important dates== 03 April 2023: paper submission deadline 21 April 2023: notification of acceptance 01 May 2023: camera-ready papers for publication 22 May 2023: workshop date ==Organizers== David Alfter (1), Elena Volodina (2), Thomas François (3), Arne Jönsson (4), Evelina Rennes (4) (1) Gothenburg Research Infrastructure for Digital Humanities, Department of Literature, History of Ideas, and Religion, University of Gothenburg, Sweden (2) Språkbanken, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden (3) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium (4) Department of Computer and Information Science, Linköping University, Sweden ==Contact== For any questions, please contact David Alfter, david.alfter(a)gu.se For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…> Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>

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3-year PhD position in Automatic Argumentation Mining in French Legal Decisions (Inria Lille, University of Lille, and LexisNexis France)
by Pascal Denis 10 Nov '23

10 Nov '23

Hi there, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- We invite applications for a 3-year PhD position co-funded by Inria, the French national research institute in Computer Science and Applied Mathematics, and LexisNexis France, leader of legal information in France and subsidiary of the RELX Group. The overall objective of this project is to develop an automated system for detecting argumentation structures in French legal decisions, using recent machine learning-based approaches (i.e. deep learning approaches). In the general case, these structures take the form of a directed labeled graph, whose nodes are the elements of the text (propositions or groups of propositions, not necessarily contiguous) which serve as components of the argument, and edges are relations that signal the argumentative connection between them (e.g., support, offensive). By revealing the argumentation structure behind legal decisions, such a system will provide a crucial milestone towards their detailed understanding, their use by legal professionals, and above all contributes to greater transparency of justice. The main challenges and milestones of this project start with the creation and release of a large-scale dataset of French legal decisions annotated with argumentation structures. To minimize the manual annotation effort, we will resort to semi-supervised and transfer learning techniques to leverage existing argument mining corpora, such as the European Court of Human Rights (ECHR) corpus, as well as annotations already started by LexisNexis. Another promising research direction, which is likely to improve over state-of-the-art approaches, is to better model the dependencies between the different sub-tasks (argument span detection, argument typing, etc.) instead of learning these tasks independently. A third research avenue is to find innovative ways to inject the domain knowledge (in particular the rich legal ontology developed by LexisNexis) to enrich enrich the representations used in these models. Finally, we would like to take advantage of other discourse structures, such as coreference and rhetorical relations, conceived as auxiliary tasks in a multi-tasking architecture. The successful candidate holds a Master's degree in computational linguistics, natural language processing, machine learning, ideally with prior experience in legal document processing and discourse processing. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work at the interplay between academia and industry. The position is affiliated with the MAGNET [1], a research group at Inria, Lille, which has expertise in Machine Learning and Natural Language Processing, in particular Discourse Processing. The PhD student will also work in close collaboration with the R&D team at LexisNexis France, who will provide their expertise in the legal domain and the data they have collected. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 November 2022 or soon thereafter, for a total of 3 full years. Best regards, Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://www.lexisnexis.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Core metadata scheme for learner corpora - feedback needed!
by Magali Paquot 30 Oct '23

30 Oct '23

Dear colleagues, Last month, we shared the result of our collaborative work on a core metadata scheme for learner corpora with LCR2022 participants. Our proposal builds on Granger and Paquot (2017)'s first attempt to design such a scheme and during our presentation, we explained the rationale for expanding on the initial proposal and discussed selected aspects of the revised scheme. Our proposal is available at https://docs.google.com/spreadsheets/d/1-RbX5iUCUtCBkZU9Rfk-kv-Vzc--F-eUW2O…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We firmly believe that our efforts to develop a core metadata scheme for learner corpora will only be successful to the extent that (1) the LCR community is given the opportunity to engage with our work in various ways (provide feedback on the general structure of the scheme, the list of variables that we identified as core and their operationalization; test the metadata on other learner corpora; use the scheme to start a new corpus compilation, etc.) and (2) the core metadata scheme is the result of truly collaborative work. As mentioned at LCR2022, we will be collecting feedback on the metadata scheme until the end of October. The online feedback form is available at: https://docs.google.com/document/d/1NeDUuxGJlPSJI9wHVA1xgGM-aV8jXTa8Qlb45K-…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We'd like to thank all the colleagues who already got back to us (at LCR2022, by email or via the online form). We also thank them for their appreciation and enthusiasm for our work! We'd also like to encourage more colleagues (and particularly those of you who have experience in learner corpus compilation) to provide feedback! We need help in finalizing the core metadata scheme to make sure that it can be applied in all learner compilation contexts. In short, we need you to make sure the scheme meets the needs of the LCR community at large. With very best wishes, Magali Paquot (also on behalf of Alexander König, Jennifer-Carmen Frey, and Egon W. Stemle) Reference Granger, S. & M. Paquot (2017). Towards standardization of metadata for L2 corpora. Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and Tools, 6-8 December 2017, University of Gothenburg, Sweden. Dr. Magali Paquot Centre for English Corpus Linguistics Institut Langage et Communication UCLouvain https://perso.uclouvain.be/magali.paquot/

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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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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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Post doc Position in Corpus Linguistics or NLP at TurkuNLP
by Veronika Laippala 24 Jul '23

24 Jul '23

Dear colleagues, Our research group TurkuNLP at the University of Turku, Finland, has an opening for *a post doc position in corpus linguistics or NLP.*. The position is part of the research project "Massively Multilingual Modeling of Registers in Web-Scale Data," (MMMReg) which is funded by the Academy of Finland. The project aims to explore language use in the digital world at a massively multilingual scale using neural networks. The specific focus of the project is on web registers, such as news, blogs, and how-to pages. The primary goals of the project are to analyze the linguistic characteristics of web registers across languages and to develop machine learning methods for modeling registers in large web datasets at a massively multilingual scale. The position is for one year, starting on September 1, 2023. The closing date for the applications is August 7, 2023 (UTC+3) For more information on the position, please visit https://www.utu.fi/en/university/come-work-with-us/open-vacancies Do not hesitate to get in touch if you have any questions! Best regards, Veronika Laippala TurkuNLP, University of Turku, Finland

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Counting multiple long (9+) n-grams in corpora: request for approaches
by beauchampd＠uni.coventry.ac.uk 21 Jul '23

21 Jul '23

Hi all, I'm doing analysis on a corpus on tweets from institutions. Regarding analysis of n-grams, it is quite unusual in that there are many repeated exact tweets, or very similar tweets, leading to long super strings of often 9 or 10 or more words together. Naturally this makes accurate counting and classifying difficult due to the overlapping substrings. Does anyone know of any approaches or software which can count and classify n-grams in such circumstances? I am aware of approaches outlined by Buerki (2017) and O'Donnell (2011), but these do not seem practical due to the excessive length of the n-grams in the corpus. Does anyone know of any accessible methods or packages? Any input much appreciated.

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Call For Participation - PLABA @ TAC 2023
by Ondov, Brian (NIH/NLM/LHC) [F] 20 Jul '23

20 Jul '23

We are pleased to announce the inaugural offering of the Plain Language Adaptation of Biomedical Abstracts (PLABA) track, as part of the 2023 Text Analysis Conference (TAC) hosted by the U.S. National Institute of Standards and Technology (NIST). This track is an opportunity to showcase your cutting-edge research on an important topic, and to take advantage of large amounts of expert annotated data and manual evaluation. Background: Deficits of Health Literacy are linked to worse outcomes and drive health disparities. Though unprecedented amounts of biomedical knowledge are available online, patients and caregivers face a type of “language barrier” when confronted with jargon and academic writing. Advances in language modeling have improved plain language generation, but the task of automatically and accurately adapting biomedical text for a general audience has thus far lacked high-quality, standardized benchmarks. Task: Systems will adapt biomedical abstracts to plain language. This includes substituting medical jargon, providing explanations for necessary terms, simplifying sentences, and other modifications. The training set is the publicly available PLABA dataset<https://doi.org/10.1038%2Fs41597-022-01920-3>, which contains 750 abstracts with manual, sentence-aligned adaptations for each, totaling more than 7k sentence pairs with document context. Evaluation: Participating systems will be evaluated on 400 held out abstracts, manually adapted four-fold by different annotators for robust automatic metrics. Additionally, a subset of system output will be manually evaluated along several axes to ensure they are accurate and faithful to the original, which is crucial for the biomedical domain. URL: https://bionlp.nlm.nih.gov/plaba2023/ Mailing list: https://groups.google.com/g/plaba2023 Key dates: Jul 19 – Evaluation data released Aug 16 – Submissions due Oct 18 – Results posted We look forward to your submissions.

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Six PhD students and one postdoc: Neurosymbolic Models of Language, Vision, and Action - Saarbrücken, Germany
by Alexander Koller 16 Jul '23

16 Jul '23

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 6 PhD students and 1 postdoc October 2023 or later Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (“Foundations”). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany. The positions are funded as follows: • PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications. • The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics Jörg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 May 2023 to bewerbung(a)uni-saarland.de. Include the reference number W2298 for the postdoc position and the reference number W2299 for the PhD positions. We aim to conduct job interviews in July (for a start in October) and September (for a later start). The legally binding version of this job ad is at https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (postdoc) and https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (PhD), respectively. For details on what materials to submit with your application and all other information about the RTG, please see our website: https://www.neuroexplicit.org/jobs/#phd-2023

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Call for Participation: Challenge on Medical Video Question Answering at TRECVID 2023
by Deepak Gupta 15 Jul '23

15 Jul '23

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TRECVID 2023 <https://www-nlpir.nist.gov/projects/tv2023/index.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating the medical instructional questions from the video segments. Following the success of the 1st MedVidQA shared task <https://aclanthology.org/2022.bionlp-1.25/>, MedVidQA at TRECVID 2023 expanded the tasks and introduced a new track considering language-video understanding and generation. This track is comprised of two main tasks Video Corpus Visual Answer Localization (VCVAL) and Medical Instructional Question Generation (MIQG). For more details, please visit the challenge website ( https://medvidqa.github.io/) and TRECVID 2023 website ( https://www-nlpir.nist.gov/projects/tv2023/index.html). The link for submission: - Task 1 (VCVAL): https://codalab.lisn.upsaclay.fr/competitions/13445 <https://codalab.lisn.upsaclay.fr/competitions/13546> - Task 2 (MIQG): https://codalab.lisn.upsaclay.fr/competitions/13546 *Important Dates* - *Release of the training and validation datasets:* April 30, 2023 - *Release of the video corpus:* May 12, 2023 - *Release of the test sets:* July 14, 2023 - *Run submission deadline:* August 4, 2023 - *Release of the official results:* September 29, 2023 We look forward to your participation in MedVidQA at TRECVID 2023. Join our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> for important updates! If you have any questions, ask in our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2023 Organizers

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New articles for Asia Pacific Journal of Corpus Research (APJCR) Vol. 3, No. 1 are available online (Open Access)
by Prof CK Jung 08 Jul '23

08 Jul '23

Dear all Just wanted to let you know that APJCR Vol. 3, No. 1 is now available to view online. http://icr.or.kr/ejournals-apjcr CK --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Department of English Language and Literature, Incheon National University, *South Korea* Vice President | The Korea Association of Primary English Education (KAPEE), *South Korea* Vice President | The Korea Association of Secondary English Education (KASEE), *South Korea* Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor | Asia Pacific Journal of Corpus Research, ICR, *International* ( http://icr.or.kr/apjcr) Deputy Editor | Korean Journal of English Language and Linguistics, KASELL, *South Korea* 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 H(EN): http://ckjung.org H(KR): http://prof1.inu.ac.kr/user/ckjung

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SPELLL 2023- Call for papers-reg
by Bharathi Raja Asoka Chakravarthi 30 Jun '23

30 Jun '23

Apologies for cross posting , We are delighted to announce the Call for Papers for the upcoming Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2023), scheduled to be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil Nadu, India. The previous edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The proceedings of the first edition have been published in the Springer series: Communications in Computer and Information Science (CCIS). This proceedings can be accessed via https://link.springer.com/book/10.1007/978-3-031-33231-9. We would like to invite you to submit your research work and contribute to the success of the second edition, SPELLL 2023 <http://spelll.org/callforpapers.html>. SPELLL 2023 aims to bring together researchers, experts, and practitioners from diverse fields to foster intellectual discussions, exchange knowledge, and explore innovative solutions to the challenges of NLP. This interdisciplinary conference will provide a platform for participants to present their latest research findings, engage in vibrant discussions, and build valuable collaborations. Conference Link: http://spelll.org/ <http://spelll.org/committee.html>CALL FOR PAPERS This conference aims at bringing together researchers from across the world working on low-resourced and minority languages to create more speech and language technology for languages of the world. We invite submissions on topics that include, but are not limited to, the following: Track 1 - Language Resources (LRs) - Lexicons and machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Corpus development, tools, analysis and evaluation - Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data - Exploitation of LRs in systems and applications - Annotation, analysis, enrichment of text archives Track 2 - Language Technologies (LT) - Code-mixing - Cognitive modeling and psycholinguistics - Computer-assisted language learning (call) - Covid-19 alert, NLP applications for emergency situations and crisis management - Equality, diversity, and inclusion for language technology - Fake news, spam, and rumour detection - Hate speech detection and offensive language detection - Machine translation, sentiment analysis, and text summarization - Text and data mining for social sciences and humanities research - Text and data mining of (bio) medical literature, including pandemics - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis - Applications for language, data and knowledge - Question answering and semantic search - Text analytics on big data - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP Track 3 - Speech Technologies (ST) - Speech technology and automatic speech recognition - Spoken dialog systems and analysis of conversation - Spoken language processing — translation, information retrieval, summarization resources and evaluation - Speaker verification and identification - Multimodal/multimedia speaker recognition and diarization - Analysis of speech and audio signals - Speech coding and enhancement - Speech recognition - architecture, search, and linguistic components - Speech, voice, and hearing disorders - Speech synthesis and spoken language generation - Cross-lingual and multilingual components for speech recognition / code switching Track 4 - Other related topics - Analysis of para-linguistics in speech and language - Multimodal analysis - Visualisation of social sciences and humanities research ------------------------------ SUBMISSION GUIDELINES Regular Papers Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Regular papers may consist of 12 - 15 pages of content including references. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Short Papers SPELLL 2023 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - Experience notes Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Review Policy All submissions to SPELLL 2023 will be reviewed on the basis of originality, relevance, importance and clarity by at least two reviewers. The review process will be double blind and the authors should refer to themselves in third person when citing their own work. Phrases like "In our earlier work..." or "We previosuly showed that..." should be avoided when submitting the paper for review. *Author Guidelines* - Authors must follow the Springer LNCS formatting instructions. - For camera-ready papers use Latex or Word style <http://preview.springer.com/gp/computer-science/lncs/conference-proceedings…> provided on the authors' page for the preparation of papers. - The LaTeX Proceedings Template for scientific authoring platform in Overleaf. <https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…> - Each paper will receive at least three reviews. At least one author of each accepted paper must register by the early registration date indicated on the conference website and present the paper. ------------------------------ Important Dates Paper Submission Due: *July 20, 2023.* Acceptance Notification: *September 20, 2023.* Camera Ready Submission: *October 15, 2023.* Conference: *December 06-08, 2023.* PUBLICATION Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS). with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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First call, TAL journal, regular issue 65-1
by Emmanuel Morin 30 Jun '23

30 Jun '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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2nd Call for Participation: TREC 2023 Product Search Track
by Surya Kallumadi 29 Jun '23

29 Jun '23

*Timelines:* - May 1st: 2023 queries released to participants for all tasks - August 1st: Submissions close for all tasks - November 12-14th: TREC conference *Website and task details:* https://trec-product-search.github.io/ *Trec task Registration:* https://ir.nist.gov/trecsubmit.open/application.html *Introduction:* The Product Search Track studies information retrieval in the field of product search. This is the case where there is a corpus of many products where the user goal and intent is to find the product that suits their need. The main goal of the Trec Product Search Track is to study how end to end retrieval systems can be built and evaluated given a large set of products. *Track Tasks:* The product search track has three tasks: *ranking*, *end to end retrieval,* and* multi modal end to end retrieval*. You can submit up to three runs for each of these tasks. Each track uses the same training data originating from the ESCI Challenge for Improving Product Search and shares the same set of evaluation queries. Below the three tasks are described in more detail. *Product Ranking Task* The first task focuses on product ranking. In this task we provide an initial ranking of 1000 documents from a BM25 baseline and you are expected to re-rank the products in terms of their relevance to the users given intent. The ranking provides a focused task where the candidate sets are fixed and there is no need to implement complex end to end systems which makes experimentation quick and runs easily comparable. *Product Retrieval Task* The second task focuses on end to end product retrieval. In this task we provide a large collection of products and participants need to design end to end retrieval systems which leverage whichever information they find relevant/useful. Unlike the ranking task, the focus here is in understanding the interplay between retrieval and reranking systems. *Multi-Modal Product Retrieval Task* The third task focuses on end to end product retrieval using multiple modalities. In this task we provide a large collection of products where each product features additional attributes and information such as related clicks and images and participants need to design end to end retrieval systems which leverage whichever information they find relevant/useful. The focus of this task is to understand the interplay between different modalities and the value which additional potentially weak data provides. *Timelines:* - May 1st: 2023 queries released to participants for all tasks - August 1st: Submissions close for all tasks - November 12-14th: TREC conference *Coordinators* - Daniel Campos (University of Illinois) - Surya Kallumadi(Lowes) - Corby Rosset (Microsoft) - ChengXiang Zhai (University of Illinois) - Alessandro Magnani (Walmart) For any questions, comments, or suggestions please email dcampos3(a)illinois.edu *Website and details:* https://trec-product-search.github.io/ *Trec task Registration:* https://ir.nist.gov/trecsubmit.open/application.html

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MISDOOM 2023 - Deadline extension
by Tommaso Caselli 29 Jun '23

29 Jun '23

*************************************************************************************** MISDOOM 2023 Call for Contributions - DEADLINE EXTENSION *************************************************************************************** 5th Multidisciplinary International Symposium on Disinformation in Open Online Media November 21-22, 2023 Hosted by the National Research Center for Mathematics and Computer Science (CWI), Amsterdam, Netherlands. https://event.cwi.nl/misdoom-2023 ** DEADLINE EXTENSION FOR SUBMISSIONS**: July 15, 2023 (23:59 AoE). The Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM) is returning for its 5th edition on 21 and 22 November 2023. This time, the conference will be hosted by the National Research Center for Mathematics and Computer Science (CWI) at Amsterdam Science Park (Netherlands). MISDOOM values multidisciplinary research and is designed to be inclusive of different academic disciplines and practices. The symposium provides a platform for researchers, industry professionals, and practitioners from various disciplines such as communication science, computer science, computational social science, political science, psychology, journalism, and media studies to come together and share their knowledge and insights on online disinformation. *Keynote Speakers* We are thrilled to announce two outstanding keynote speakers: - Prof Dr. Judith Möller, University of Hamburg & Leibniz-Institute for Media Research | Hans-Bredow-Institut - Dr. Pepa Atanasova, University of Copenhagen More details will follow soon. Stay tuned! *Symposium Topics* Participants can discuss and contribute to the following list of topics: - Cross-platform campaigns and their impact (e.g., diffusion of disinformation and manipulation, observations of campaigns and strategies, communication strategies, hate speech) - Approaches to studying misinformation (e.g., qualitative approaches, case studies, quantitative approaches, experiments) - User involvement with misinformation on various platforms (e.g., engagement, viewership) - Counter-measures for mis- and disinformation and manipulation (e.g., censorship policies, behavioral changes, education, training, professional codices, legal actions) - Factors contributing to misinformation beliefs or hampering corrections of false beliefs (e.g., political polarization, motivated reasoning, confirmation bias) - Trending topics in mis- and disinformation research - Automated fact-checking and misinformation detection - Models for misinformation diffusion - Human computation approaches for misinformation detection (crowdsourcing, human-machine interaction) - Information quality (information quality dimensions, metrics, ethics of information quality) - Generative AI tools and disinformation (e.g., ChatGPT, Midjourney, DALL-E) *Industry* Industries are also invited to participate in the conference by submitting a contribution describing their approach to countering or detecting misinformation. *Submission Instructions* Given that we welcome both social scientists and computer scientists, and that the publication strategies of these fields differ, we solicit two types of contributions that, upon acceptance, result in the same opportunity to present at MISDOOM: - Papers Papers to be published with Springer LNCS proceedings. Up to 15 pages (including references) in Springer Lecture Notes in Computer Science (LNCS) format describing original unpublished and new research. The work should be structured like a research paper, and cover the context of the problem studied, the research question, approach/methodology, and results in 6 to 15 pages. It should be formatted according to the LNCS Word or LaTeX template. Such submissions will be judged based on scientific quality and relevance for the MISDOOM symposium. - Extended Abstracts Authors can also choose to submit an Extended Abstract. The extended abstract should not exceed 500 words, excluding references, and can pertain to previously published work, ongoing projects, or new research ideas. There is no particular format for the extended abstract, but it must include the title, authors, their affiliation, the text of the abstract, and references, particularly if it involves previously published work. Submissions are not archival and are not formally published. Additionally, authors must submit a conference program abstract of no more than 150 words. Authors should add the suffix "(Extended Abstract)" to the title of their extended abstract submission. *Important Note about Submissions* Both contribution types (full papers and extended abstracts) must specify the discipline they are contributing to as keyword(s) in OpenReview at the time of submission (they should enter at least one of the two keywords "computer science" or "social science" in the keyword box). Submission Link: https://openreview.net/group?id=MISDOOM/2023/Symposium *Important Dates* Submission Deadline: 30 June 2023 *15 July 2023 (23:59 AoE)* Notification: 28 August 2023 Camera-ready: 11 September 2023 Symposium: 21-22 November 2023 -- Tommaso Caselli, Ph.D. Senior Assistant Professor in Computational Semantics Faculty of Arts, Rijksuniversiteit Groningen The Netherlands ---------------------------- https://xs4all.academia.edu/TommasoCaselli https://www.researchgate.net/profile/Tommaso_Caselli Twitter: @tommaso_caselli

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CFP CogAI 2023
by Yevgen Matusevych 29 Jun '23

29 Jun '23

Following the success of its predecessor, HLC 2022, Cognitive AI 2023 (CogAI 2023, https://cognitive-ai.netlify.app/) will be held in Bari, Italy, from the 13th-15th of November 2023. CogAI 2023 is an international workshop on the intersection of Cognitive Science and Artificial Intelligence. CogAI 2023 will be held as a component of the 3rd International Joint Conference on Learning & Reasoning, IJCLR 2023, ILP 2023, and AAIP 2023 (https://ijclr2023.di.uniba.it/). CogAI 2023 aims to facilitate discussion and exchange between internationally leading Artificial Intelligence and Cognitive Science researchers. The workshop will focus on research that studies how AI can be endowed with capacities that facilitate interaction and collaboration between AI and humans in ways that address fundamental cognitive and perceptual human abilities. Such abilities should support AI in interpreting the aims and intentions of humans based on learning and accumulated background knowledge to help identify contexts and cues from human behaviour. Developing AI systems requires understanding the computational principles underlying human cognition, perception, and communication, and are vital in applications with close interactions between AI and human users. The CogAI 2023 workshop aims to bring together AI and Cognitive Science researchers to investigate how both fields can contribute to developing next-generation AI systems that facilitate the fruitful interaction between humans and AI systems. Topics of interest include, but are not limited to: * Computational models or artificial agents of cognitive tasks. * Knowledge representations, learning, and reasoning. * Small data learning. * Learning with natural language, e.g., learning from text/verbal instruction or supervision. * Representation change Applied Topics of interest include, but are not limited to: * Interaction of people and systems * Intelligent tutoring * Assistant technology * Detecting stance, sarcasm, hate speech, humour, misinformation, etc. * Scientific discovery We solicit three types of submissions: Workshop papers: Papers should describe original work not being reviewed or published elsewhere. Submitted papers need not be anonymous, must be written in English, should be formatted using single column and 11pt font, and should not exceed three pages, including all figures but excluding references. You should use the CEUR Latex template or the CEUR Word template. Accepted workshop papers will be published in online CEUR proceedings. All submitted workshop papers will be judged based on relevance, originality, significance, and technical quality. Please submit your documents via EasyChair here and then select the Cognitive AI 2023 track. Journal Track: Authors are invited to submit high-quality CogAI work to the Machine Learning Journal Special Issue on Learning & Reasoning: https://www.springer.com/journal/10994/updates/17562232 Papers will be published online by MLJ upon acceptance, and authors of accepted papers are invited to present their work at the conference. For cut-off dates, starting from June 15th, 2023 please refer to: https://ijclr2023.di.uniba.it/~ijclr2023/dates/index.html Poster Submission: Authors are invited to submit posters with a maximum size of A0 and must be in portrait orientation. Although these posters will not be published in the proceedings, there will be a poster session for authors to present their work at the workshop. Important Dates * Abstract submission deadline: 6th July 2023 * Papers submission deadline: 13th July 2023 * Papers author notification: 25th August 2023 * Poster submission deadline: 1st September 2023 * Papers camera-ready due: 8th September 2023 * Author notification for posters: 15th September 2023 * CogAI 2023: 13-15th November 2023 Co-Programme Chairs Dr. Xue Li School of Informatics, University of Edinburgh Dr. Pablo León Villagrá Cognitive, Linguistic & Psychological Sciences, Brown University

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37th Pacific Asia Conference on Language, Information and Computation: Third CFP and Deadline Extension
by emmanuelechersoni＠gmail.com 29 Jun '23

29 Jun '23

* The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) * * December 2-4, 2023 (Extended deadline for paper submission: July 30, 2023 AoE) * * The Hong Kong Polytechnic University, Hong Kong (China) * * Website: https://paclic2023.github.io/ * * Meeting Description * Following the long tradition of PACLIC conferences, PACLIC 37 emphasizes the synergy of theoretical frameworks and processing of natural language, providing a forum for researchers from different fields to share and discuss progress in scientific studies, development and application of the topics related to the study of languages. PACLIC 37 will be held as a hybrid event at the Hong Kong Polytechnic University, Hong Kong (China). * Topics * Topics include but are not limited to: - Language Studies o Clinical linguistics and language disorders o Corpus linguistics o Discourse Analysis o Language Acquisition o Language and Social Media o Language Learning o Language, Mind and Culture o Linguistic Theories o Morphology o Multilingualism o Phonology o Pragmatics o Semantics o Sociolinguistics o Spoken language processing o Syntax o Typology - Information Processing and Computational Applications o Cognitive modeling and psycholinguistics o Dialogue systems o Digital Humanities o Ethics in Natural Language Processing o Information retrieval/extraction o Interpretability of Natural Language Processing systems o Language models o Language resources o Linguistic diversity o Machine Learning and Natural Language Processing o Machine Translation o Multimodality o Natural Language Generation o Natural Language Processing applications o Sentiment Analysis o Summarization o Word segmentation * Paper Submission* Papers may consist of up to eight (8) pages of content, plus references and appendices. Submissions will be judged based on relevance, technical strength, significance and opportunities, and interest to the attendees. As the reviewing will be double-blind, authors must not indicate their names and affiliations while submitting their papers. Papers must be submitted through the Easy Chair Conference System: https://easychair.org/cfp/PACLIC37 . Accepted papers will be presented orally or as posters as determined by the PACLIC 37 program committee. Papers in the proceedings of PACLIC have been indexed in Scopus since PACLIC 19 (2005). They are also listed in the ACL Anthology. Double submissions with other conferences/workshops are allowed, but the authors are asked to declare it at submission time. * Submission Format * The conference will only accept papers formatted according to the standard ACL templates (downloadable at: https://2023.aclweb.org/calls/style_and_formatting/). * Important Dates * Extended deadline for paper submission: July 30, 2023 (AoE) Notification: September 10, 2023 Camera-ready: October 1, 2023 Early bird registration: October 1, 2023 Conference: December 2-4, 2023 * Contact * paclic37(at)gmail.com

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Collocations, Corpora and Language Learning FREE access to publication
by Susan Hunston 29 Jun '23

29 Jun '23

Dear colleagues, I am delighted to announce that 'Collocations, Corpora and Language Learning', by Paweł Szudarski, has just been published in the Cambridge Elements in Corpus Linguistics Series. This publication is FREE to download for two weeks. It can be accessed here: https://www.cambridge.org/core/search?q=9781108994798 Here is the abstract of the publication: This Element provides a systematic overview and synthesis of corpus-based research into collocations focusing on the learning and use of collocations by second language (L2) users. Underlining the importance of collocation as a key notion within the field of corpus linguistics, the text offers a state-of-the-art account of the main findings related to the applications of corpora and corpus-based measures for defining, identifying and analysing collocations as related to second language acquisition. Emphasising the quality of L2 collocation research, the Element illustrates key methodological issues to be considered when conducting this type of corpus analysis. It also discusses examples of pertinent research questions and points to representative studies treated as models of good practice. Aiming at researchers both new and experienced, the Element also points to avenues for future work and shows the relevance of corpus-based analysis for improving the process of learning and teaching of L2 collocations. Professor Susan Hunston (she/her) Department of English Language and Linguistics University of Birmingham Birmingham B15 2TT UK (+44) 0121 414 5675 s.e.hunston(a)bham.ac.uk

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Nikolai Gogol wrote on his preface to "Dead Souls" ...
by Albretch Mueller 29 Jun '23

29 Jun '23

https://archive.org/details/deadsouls1916gogo/ "... the following is the manner in which I would request them to transmit their notes for my consideration. Inscribing the package with my name let them then enclose that package in a second one addressed either to the Rector of the University of St Petersburg or to Professor Shevirev of the University of Moscow" I hope they were not burned with the second, "more hopeful" (and boring?) second chapter. They may have been archived probably somewhere in Russia. Does any one know what happened to such letters?, where could they be possibly found? I am thinking of a corpora-based experiment with them. lbrtchx

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Third Call: 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad＠ugr.es 28 Jun '23

28 Jun '23

The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" Second call for papers Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: * Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; * Extraction and acquisition of semantic relations between terms; * Extraction and generation of domain specific definitions and disambiguation of terms; * Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; * Extraction of terminological context, through the use of comparable and parallel corpus; * Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; * The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); * The creation of domain ontologies, thesaurus, terminological resources in specialised domains; * The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; * Identification of key problems in terminology and new technologies used in translation studies; * Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; * Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; * Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; * Phraseology and multiword expressions in cross-linguistic studies; * Translation and interpreting tools, such as translation memories, machine translation and alignment tools; * User requirements for interpreting and translation tools. SUBMISSION GUIDELINES Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as ConTeNTs workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START system: https://softconf.com/ranlp23/ConTeNTS Website of the workshop: https://contents2023.kulak.kuleuven.be/ Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 10 July 2023 Acceptance notification: 5 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7/8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee * Sophia Ananiadou (University of Manchester) * Maria Andreeva Todorova (Bulgarian Academy of Sciences) * Silvia Bernardini (University of Bologna) * Melania Cabezas García (Universidad de Granada) * Rute Costa (Universidade Nova de Lisboa) * Esther Castillo Pérez (Universidad de Granada) * Patrick Drouin (Université de Montréal) * Pamela Faber (Universidad de Granada) * Mercedes García de Quesada (Universidad de Granada) * Dagmar Gromann (Centre for Translation Studies - University of Vienna) * Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) * Rejwanul Haque (National College of Ireland) * Amir Hazem (Nantes University) * Kyo Kageura (University of Tokyo) * Barbara Karsch (BIK Terminology - USA) * Dorothy Kenny (Dublin City University) * Miloš Jakubíček (Sketch Engine) * Hendrik Kockaert (KU Leuven) * Philipp Koehn (Johns Hopkins University) * Maria Kunilovskaya (Saarland University) * Marie-Claude L'Homme (Université de Montréal) * Hélène Ledouble (Université de Toulon) * Pilar León-Araúz (Universidad de Granada) * Rodolfo Maslias (former Head of TermCoord, European Parliament) * Silvia Montero Martínez (Universidad de Granada) * Emmanuel Morin (LS2N-TALN) * Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) * Sandrine Peraldi (University College Dublin) * Silvia Piccini (Italian National Research Council) * Thierry Poibeau (CNRS) * Senja Pollak (Jožef Stefan Institute) * Maria Pozzi Pardo (El Colegio de México) * Tharindu Ranasinghe (Aston University) * Arianne Reimerink (Universidad de Granada) * Andres Repar (Jožef Stefan Institute) * Christophe Roche (Université Savoie Mont-Blanc) * Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) * Beatriz Sánchez Cárdenas (Universidad de Granada) * Vilelmini Sosoni (Ionian University) * Irena Spasic (Cardiff University) * Elena Isabelle Tamba (Romanian Academy, Iași Branch) * Rita Temmerman (Vrije Universiteit Brussel) * Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

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TXM 0.8.3
by Serge Heiden 28 Jun '23

28 Jun '23

Dear all, We are pleased to announce the availability of TXM version 0.8.3: https://pages.textometrie.org/textometrie/files/software/TXM/0.8.3/en WHAT IS TXM? Read TXM leaflet https://txm.gitpages.huma-num.fr/textometrie/files/documentation/TXM%20Leaf… [a bit old but still a synthetic presentation] All up to date information at https://www.textometrie.org NEWS In addition to fixing many bugs, this new version includes some notable new features: * Mac compatibility (including M1 and M2 processors) * Improved o interface ergonomy for some commands o interface robustness for saving CQP and URS annotations * Simplified o choice of language for corpora imported via clipboard o export/import of corpus word properties o utilities management * New functions o export/import corpus o export/import calculus call with parameters * General component upgrades o R 4.2.2 o Java 17.0.7 o Eclipse 2022-09 o Saxon 12.2 o Groovy 4.0.3 Extensions * TreeTagger o upgrade to version 3.2.5 * URS (Unit-Relation-Schema) annotation o more robust input and save interface ACKNOWLEDGEMENTS Thank you to the testers of this version: Flora Badin, Ioana Galleron, Amal Guha, Philippe Guillet, Jean-Louis Janin, Loïc Liégeois, Giancarlo Luxardo, Christophe Parisse, Pierre Ratinaud and Gilles Toubiana. Good explorations, Serge Heiden, for the TXM team -- Dr. Serge Heiden, slh AT ens-lyon.fr, http://textometrie.ens-lyon.fr Équipe de recherche Cactus, laboratoire IHRIM UMR5317, ENS de Lyon 15, parvis René Descartes 69342 Lyon BP7000 Cedex, tél. +33(0)622003883

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Call for papers: CRAC 2023: Workshop on Reference, Anaphora and Coreference at EMNLP 2023
by Maciej Ogrodniczuk 28 Jun '23

28 Jun '23

<https://sites.google.com/view/crac2023/> CRAC 2023, the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference, will be held at EMNLP 2023 <https://2023.emnlp.org/> in Singapore on December 6 and 7. About the workshop The CRAC workshop is a forum where work on all aspects of computational work on anaphora resolution and annotation, including both coreference and types of anaphora such as bridging references resolution and discourse deixis, can be presented. Since 2016, the yearly CRAC <https://aclanthology.org/venues/crac/> (and its predecessor, CORBON <https://aclanthology.org/venues/corbon/> ) workshop has become the primary forum for researchers interested in the computational modeling of reference, anaphora, and coreference to discuss and publish their results. Over the years, this workshop series was held at major NLP conferences and has successfully organized six shared tasks, which stimulated interest in new problems in this area of research, facilitated the discussion and dissemination of results on new problems/directions (e.g., multimodal reference resolution). Topics We are interested in your work on any aspect of theoretical or applied computational work on anaphora/coreference resolution. Some topics to suggest: - coreference resolution for less-researched languages - annotation and interpretation of anaphoric relations, including relations other than identity coreference (e.g., bridging references) - investigation of difficult cases of anaphora and their resolution - coreference resolution in noisy data (e.g. in social media) - new applications of coreference resolution - <https://universalanaphora.github.io/UniversalAnaphora/> Universal Anaphora - CorefUD <https://ufal.mff.cuni.cz/corefud> CRAC 2023 Shared Task on Multilingual Coreference Resolution The workshop will also feature presentation of the results of our 2nd Shared Task on Multilingual Coreference Resolution <https://ufal.mff.cuni.cz/corefud/crac23> , based on 17 coreference datasets for 12 languages harmonized under a common CoNLL-U scheme. Important dates - Workshop papers due: September 1, 2023 - Notification of acceptance: October 6, 2023 - Camera-ready papers due: October 18, 2023 - Workshop date: December 6-7, 2023 Paper categories - Research papers (theoretical computational linguistics, empirical/data-driven approaches, paradigms/techniques/strategies, analysis papers, resources and evaluation, negative result) - Survey papers (surveys a popular or emerging area of anaphora/coreference resolution) - Position papers (presents one side of an arguable opinion about an issue) - Challenge papers (a challenge to the field in terms of setting out a goal for the next 5/10/20 years) - Demo papers (systems, tools, visualizations) - Extended abstracts (describe work in progress) Double submission We allow for double submissions. Please indicate during submission to which other conference or workshop your work has been submitted. We also invite authors of papers accepted to Findings of the main conferences (e.g. ACL, NAACL, EMNLP) to present their work at the workshop. It these papers were removed from the Findings, they can be included in the proceedings of the workshop without additional review. Submission link Please submit your paper to <https://softconf.com/emnlp2023/CRAC2023/> SoftConf. All submissions must follow <https://2023.emnlp.org/calls/style-and-formatting/> the EMNLP 2023 formatting instructions. You can find all other important information on the CRAC 2023 website <https://sites.google.com/view/crac2023/> . See you at CRAC 2023! Maciej Ogrodniczuk (on behalf of all organizers: Vincent Ng, Sameer Pradhan, Anna Nedoluzhko and Massimo Poesio)

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Postdoc position at Oxford
by Martin Wynne 28 Jun '23

28 Jun '23

-- Senior Researcher in Corpus Linguistics Faculty of Linguistics, Philology and Phonetics, University of Oxford National Co-ordinator, CLARIN-UK martin.wynne(a)ling-phil.ox.ac.uk https://orcid.org/0000-0002-4155-0530 We are advertising for a Postdoctoral Fellowship in Digital Scholarship support the delivery of teaching on the MSc in Digital Scholarship, as well as to offer practical help with Digital Voltaire at the Voltaire Foundation at Oxford. Full details are available on the webpage at https://tinyurl.com/OxfordDH It could suit a corpus linguist. The deadline for applications is7 July, so don't delay!

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Registration now open for Corpus Linguistics Summer School at University of Birmingham 11 to 14th September 2023
by Michaela Mahlberg 28 Jun '23

28 Jun '23

Registration for the 7th Centre for Corpus Research Summer School CCRSS23 is now open The summer school takes place from 11th to 14th September 2023 Register here: https://shop.bham.ac.uk/conferences-and-events/college-of-arts-law/school-o… More information here: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Who is it for? The summer school is open to undergraduate, postgraduate, and doctoral students, as well as researchers who want to improve their skills to apply corpus methods in their own research. Our summer school aims to equip participants with critical expertise in both the theory and practice of corpus-supported linguistic research. Building on the strengths of our Centre for Corpus Research (CCR)<https://www.birmingham.ac.uk/research/activity/corpus/index.aspx> and our guest speakers, we strive to offer participants a learning experience that benefits their own specific research needs and enriches their experience as researchers more widely. There will be the opportunity for participants to present their own work and receive feedback from our expert team. Given the specialised nature of the programme, a basic understanding of corpus linguistics is highly recommended. What’s the format? The summer school will be online and consist of synchronous and asynchronous elements. Prior to the synchronous part, participants will be expected to complete asynchronous activities consisting of self-study video lectures and hands-on materials. The synchronous part will take place from 11 to 14 September, 2023. Over the course of four days, participants will be actively involved in two kinds of sessions. First, hands-on sessions will put the emphasis on the learning of practical skills for the purpose of extracting and analysing corpus data of various kinds, and the application of this knowledge to specific research projects. Second, participants will learn about current corpus research and theoretical foundations from our team. What is it about? Topics typically covered in the programme include (non-exhaustive list and subject to change): Corpus linguistics for media analysis Analysis of spoken corpora CQPweb Introduction to R and tidyverse Web scraping with R Digital humanities and the study of fiction Sign language corpora Regular expressions Corpora and legal research Critical issues in keyness analysis Behavioral Profiles Machine learning in corpus linguistics Corpus-based discourse analysis Corpus linguistics and language learning Who are the teachers? Our local team of corpus linguists includes Dagmar Divjak<https://www.birmingham.ac.uk/staff/profiles/languages/divjak-dagmar.aspx>, Natalie Finlayson<https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jason Grafmiller<https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jack Grieve<https://www.birmingham.ac.uk/staff/profiles/elal/grieve-jack.aspx>, Michaela Mahlberg<https://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx>, Karen McAuliffe<https://www.birmingham.ac.uk/staff/profiles/law/mcauliffe-karen.aspx>, Petar Milin<https://www.birmingham.ac.uk/staff/profiles/languages/milin-petar.aspx>, Akira Murakami<https://www.birmingham.ac.uk/staff/profiles/elal/murakami-akira.aspx>, Florent Perek<https://www.birmingham.ac.uk/staff/profiles/elal/perek-florent.aspx>, Laurence Romain<https://www.birmingham.ac.uk/staff/profiles/languages/romain-laurence.aspx>, Adam Schembri<https://www.birmingham.ac.uk/staff/profiles/elal/schembri-adam.aspx>, Paul Thompson<https://www.birmingham.ac.uk/staff/profiles/elal/thompson-paul.aspx>, and Bodo Winter<https://www.birmingham.ac.uk/staff/profiles/elal/winter-bodo.aspx>. Guest speakers will include Robbie Love<https://robbielove.org/> (Aston University), Stephanie Evert<http://www.stephanie-evert.de/> (FAU Erlangen), Alexander Piperski<https://www.linguistik.phil.fau.de/person/alexander-piperski/> (FAU Erlangen) & Mike Scott<https://lexically.net/wordsmith/index.html> (Lexical Analysis Software) Sinclair lecture As every year, the annual Sinclair Lecture will take place during the Summer School. This year, the Lecture will be delivered on Monday 11 September by our very own Susan Hunston<https://www.birmingham.ac.uk/staff/profiles/elal/hunston-susan.aspx>. If you register for the summer school, you are automatically registered for the Sinclair lecture. More detail on the Sinclair lecture can be found here: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… For updates also follow @CCR_UoB See you there!

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Call for Demonstrations and Exhibits, ACM International Conference on Multimodal Interaction (ICMI2023)
by Gualtiero Volpe 28 Jun '23

28 Jun '23

======================================================== ACM ICMI 2023 CALL FOR DEMONSTRATIONS AND EXHIBITS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/doctoral-consortium/ ======================================================== We invite you to submit your proposals for demonstrations and exhibits to be held during the 25th ACM International Conference on Multimodal Interaction (ICMI 2023), located in Paris, France, October 9-13th 2023. This year’s conference theme is “Science of Multimodal Interactions”. * Demonstrations and Exhibits The ICMI 2023 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve as a platform to introduce commercial products. Proposals may be of two types: demonstrations or exhibits. The main difference is that demonstrations include a 2-3 page paper in one column, which will be included in the ICMI main proceedings, while the exhibits only need to include a brief outline (no more than two pages in one column; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. * Demonstration Submission Please submit a 2-3 page description of the demonstration in a single column format through the main ICMI conference management system (new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 3 pages in a single column format including references. For instructions and links to the templates, please see the Guidelines for Authors (https://icmi.acm.org/2023/guidelines-for-authors/). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration. Demonstration submissions should be accompanied by a video of the proposed demo (no larger than 200MB), which can include a set of slides (no more than 10 slides) in PowerPoint format. The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism). The demonstration submissions will be peer reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals, along with preparing the papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among regular papers accepted for presentation at the conference. Please note that the accepted demos will be included in the ICMI main proceedings. * Exhibit Submission Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to two pages), and are more suitable for showcasing mature systems. Like demos, submissions for exhibits should be accompanied by a video (no larger than 200MB), which can include a set of slides (no more than 10 slides) in PowerPoint format. Exhibits will not have a paper published in the ICMI 2023 proceedings. * Facilities Once accepted, demonstrators and video presenters will be provided with a table, poster board, power outlet and wireless (shared) Internet. Demo and video presenters are expected to bring with them everything else needed for their demo and video presentations, such as hardware, laptops, sensors, PCs, etc. However, if you have special requests such as a larger space, special lighting conditions and so on, we will do our best to arrange them. Important note for the authors: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. * Attendance At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). * Important Dates - Submission of demo and exhibit proposals July 14, 2023 - Demo and exhibit notification of acceptance July 28, 2023 - Submission of demo final papers August 13, 2023 * Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Kun Qian and Dirk Heylen (icmi2023-demo-chairs(a)acm.org).

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Call for Late-Breaking Results, ACM International Conference on Multimodal Interaction (ICMI2023)
by Gualtiero Volpe 28 Jun '23

28 Jun '23

======================================================== ACM ICMI 2023 CALL FOR LATE-BREAKING RESULTS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/doctoral-consortium/ ======================================================== Based on the success of the LBR in the past ICMI, the ACM International Conference on Multimodal Interaction (ICMI) 2023 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. Online Submission For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?next=https%3A//new.precision… Highlights * Submission deadline: July 16th, 2023, 23:59 PDT (GMT-7) * Notifications: August 13th, 2023 * Camera-ready deadline: September 3rd, 2023 * Conference Dates: October 9-13, 2023 * Submission format: Anonymized, short paper (four-page paper in a double column format, not including references), following the submission guidelines, available here: https://icmi.acm.org/2023/guidelines-for-authors/ * Selection process: Peer-Reviewed * Presentation format: Participation in the conference poster session * Proceedings: Included in Adjunct Proceedings and ACM Digital Library * LBR Co-chairs: Jean-Marc Odobez and Chi-Chun Lee What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized short paper, four-page paper in a double column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference: https://icmi.acm.org/2023/guidelines-for-authors/. The paper should be submitted in PDF format and through the ICMI submission system in the “Late-Breaking Results” track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring some measurable breakthroughs compared to the state-of-the-art of the field. Attendance Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be available later on and given on the main page of the website. Questions? For more information and updates on the ICMI 2023 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2023/late-breaking-results/. For further questions, contact the LBR co-chairs (Jean-Marc Odobez and Chi-Chun Lee) at icmi2023-late-breaking-results-chairs(a)acm.org

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LxGr2023: Programme and Call for Participation
by Costas Gabrielatos 27 Jun '23

27 Jun '23

8th Symposium on Corpus Approaches to Lexicogrammar (LxGr2023) The symposium will take place online on 6-8 July 2023. The programme, links to abstracts, and registration details are here: https://sites.edgehill.ac.uk/lxgr/lxgr2023 Participation is free. One week until registration closes (4 July 2023). If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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CfP MISDOOM 2023 - 5th Multidisciplinary International Symposium on Disinformation in Open Online Media
by Tommaso Caselli 26 Jun '23

26 Jun '23

*************************************************************************************** Call for Contributions and Keynote Speaker Announcement *************************************************************************************** 5th Multidisciplinary International Symposium on Disinformation in Open Online Media November 21-22, 2023 Hosted by the National Research Center for Mathematics and Computer Science (CWI), Amsterdam, Netherlands. https://event.cwi.nl/misdoom-2023 The Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM) is returning for its 5th edition on 21 and 22 November 2023. This time, the conference will be hosted by the National Research Center for Mathematics and Computer Science (CWI) at Amsterdam Science Park (Netherlands). MISDOOM values multidisciplinary research and is designed to be inclusive of different academic disciplines and practices. The symposium provides a platform for researchers, industry professionals, and practitioners from various disciplines such as communication science, computer science, computational social science, political science, psychology, journalism, and media studies to come together and share their knowledge and insights on online disinformation. *Keynote Speakers* We are thrilled to announce two outstanding keynote speakers: - Prof Dr. Judith Möller, University of Hamburg & Leibniz-Institute for Media Research | Hans-Bredow-Institut - Dr. Pepa Atanasova, University of Copenhagen More details will follow soon. Stay tuned! *Symposium Topics* Participants can discuss and contribute to the following list of topics: - Cross-platform campaigns and their impact (e.g., diffusion of disinformation and manipulation, observations of campaigns and strategies, communication strategies, hate speech) - Approaches to studying misinformation (e.g., qualitative approaches, case studies, quantitative approaches, experiments) - User involvement with misinformation on various platforms (e.g., engagement, viewership) - Counter-measures for mis- and disinformation and manipulation (e.g., censorship policies, behavioral changes, education, training, professional codices, legal actions) - Factors contributing to misinformation beliefs or hampering corrections of false beliefs (e.g., political polarization, motivated reasoning, confirmation bias) - Trending topics in mis- and disinformation research - Automated fact-checking and misinformation detection - Models for misinformation diffusion - Human computation approaches for misinformation detection (crowdsourcing, human-machine interaction) - Information quality (information quality dimensions, metrics, ethics of information quality) - Generative AI tools and disinformation (e.g., ChatGPT, Midjourney, DALL-E) *Industry* Industries are also invited to participate in the conference by submitting a contribution describing their approach to countering or detecting misinformation. *Submission Instructions* Given that we welcome both social scientists and computer scientists, and that the publication strategies of these fields differ, we solicit two types of contributions that, upon acceptance, result in the same opportunity to present at MISDOOM: - Papers Papers to be published with Springer LNCS proceedings. Up to 15 pages (including references) in Springer Lecture Notes in Computer Science (LNCS) format describing original unpublished and new research. The work should be structured like a research paper, and cover the context of the problem studied, the research question, approach/methodology, and results in 6 to 15 pages. It should be formatted according to the LNCS Word or LaTeX template. Such submissions will be judged based on scientific quality and relevance for the MISDOOM symposium. - Extended Abstracts Authors can also choose to submit an Extended Abstract. The extended abstract should not exceed 500 words, excluding references, and can pertain to previously published work, ongoing projects, or new research ideas. There is no particular format for the extended abstract, but it must include the title, authors, their affiliation, the text of the abstract, and references, particularly if it involves previously published work. Submissions are not archival and are not formally published. Additionally, authors must submit a conference program abstract of no more than 150 words. Authors should add the suffix "(Extended Abstract)" to the title of their extended abstract submission. *Important Note about Submissions* Both contribution types (full papers and extended abstracts) must specify the discipline they are contributing to as keyword(s) in OpenReview at the time of submission (they should enter at least one of the two keywords "computer science" or "social science" in the keyword box). Submission Link: https://openreview.net/group?id=MISDOOM/2023/Symposium *Important Dates* Submission Deadline: 30 June 2023 Notification: 28 August 2023 Camera-ready: 11 September 2023 Symposium: 21-22 November 2023 -- Tommaso Caselli, Ph.D. Senior Assistant Professor in Computational Semantics Faculty of Arts, Rijksuniversiteit Groningen The Netherlands ---------------------------- https://xs4all.academia.edu/TommasoCaselli https://www.researchgate.net/profile/Tommaso_Caselli Twitter: @tommaso_caselli

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Call for Papers: The 27th Annual Conference of the Foundation for Endangered Languages, FEL XXVII, Rabat Morocco 23-25 November 2023
by Steven Krauwer 26 Jun '23

26 Jun '23

The 27th Annual Conference of the Foundation for Endangered Languages, FEL XXVII (2023) Organised by The Foundation for Endangered Languages (FEL) and The Moroccan Institute for Advanced Studies (IMEA) in collaboration with The Faculty of Science of Education (FSE) Rabat, Morocco, 23-25 November 2023 Theme of the conference: Endangered Languages and Cultural Diversity The focus of the conference will be on the relationship between language endangerment/extinction and the threat to cultural diversity. While it has a universal scope, it aims to also encourage scholarship and accounts of community initiatives from the African continent as well as those relating to African situations. Call for papers Extended abstracts of about 1000 words in English should be submitted at https://easychair.org/conferences/?conf=felxxvii2023 by 12 July 2023. The extended abstract should provide a brief account of the context, the issue(s) studied, the methodology used, and relevant references, together with a mention of any major results, conclusions and implications. Those whose abstracts are accepted will be notified by 22 August 2023. Venue Faculté des Sciences de l’Education, Mohammed V University in Rabat, Morocco. More information Email: felconf2023_morocco(a)ogmios.org Website: https://www.ogmios.org/conferences/2023 Working language: The working language of the conference is English Call for Papers in English, French and Arabic (PDF): https://www.ogmios.org/conferences/2023/CfP-En-Fr-Ar.pdf Important dates 12 July 2023: Deadline for submission of abstract 22 August 2023: Selected applicants informed 20 September 2023: Deadline for Reception of Final Version of Accepted Abstracts 23-24 November 2023: Conference dates 25 November: Excursion to a local community Organisation and sponsorship Foundation for Endangered Languages (FEL) The Moroccan Institute for Advanced Studies (IMEA) The Faculty of Science of Education (FSE) FEL Organising Committee Salem Mezhoud Nicholas Ostler Steven Krauwer Hakim Elnazarov Christopher Moseley Eda Derhermi Joseph Babasola Osoba Mujahid Torwali Local Organising Committee Yamina El Kirat El Allame Majdouline Enahibi Abdekarim Chebbaki Yassine Akheyyat Adil Azhar Hasbiya Taifi Bernoussi Othmane Zakaria Mouna Al Andaloussi Rania Lougmiri -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Drift 10, 3512 BS Utrecht, NL

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[CALL FOR PAPERS] The 10th Workshop on Argument Mining @ EMNLP 2023 December 7, 2023
by milad.alshomary＠uni-paderborn.de 26 Jun '23

26 Jun '23

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 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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Position available at NLP & IR Research Group UNED
by JORGE AMANDO CARRILLO DE ALBORNOZ CUADRADO 26 Jun '23

26 Jun '23

Full time position The UNED IR & NLP group has an open position. The successful candidate is expected to work as part of the joint research project FAIRTRANSNLP-DIAGNOSIS: Measuring and quantifying bias and fairness in NLP pipelines, together with colleagues from the Universidad de Barcelona and Universidad Politécnica de Valencia. The project focuses on developing methodologies and metrics for measuring bias, fairness and transparency in NLP systems. The detection of bias, their types and sources, is essential for developing unbiased datasets for training fair systems in NLP. Within the FAIRTRANSNLP project, the candidate will work in the formalization of the detection of bias, fairness, and transparency of NLP pipelines from three different angles: (i) bias embedded in the dataset; (ii) degree of fairness in ML algorithms; and (iii) transparency techniques used in ML to achieve explainability in NLP. The candidate will also participate in the compilation and annotation of datasets. * Candidate profile * * Academic background (university degree, preferably master) in computer science or related discipline. * Knowledge of natural language processing and machine learning. * Excellent programming skills. * Ability to research and work as part of a team. * Fluent in English. * Terms and conditions * One year position with a possible extension to two years (1+1) after a positive evaluation. * Application * The position is open until filled. Follow instructions in the official call: https://www2.uned.es/bici/Curso2022-2023/32306266/36-1.htm#9.-_____Convocat… Please send an email to lplaza(a)lsi.uned.es and jcalbornoz(a)lsi.uned.es for more info. * More about us * The UNED NLP & IR group is a leading group in Information Retrieval and Natural Language Processing. Our team consists of more than 30 people. https://sites.google.com/view/nlp-uned/home AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Departamento de Política Jurídica de Seguridad de la Información<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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10th International Conference on Behavioural and Social Computing (BESC 2023): Fifth Call for Papers
by georgeangelos60＠gmail.com 26 Jun '23

26 Jun '23

*** Fifth Call for Papers *** 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/ 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 submissions of original, high-quality research papers 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: 15 July 2023 • 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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Counting multiple long (9+) n-grams in corpora: request for approaches
by beauchampd＠uni.coventry.ac.uk 23 Jun '23

23 Jun '23

Hi all, I'm doing analysis on a corpus on tweets from institutions. Regarding analysis of n-grams, it is quite unusual in that there are many repeated exact tweets, or very similar tweets, leading to long super strings of often 9 or 10 or more words together. Naturally this makes accurate counting and classifying difficult due to the overlapping substrings. Does anyone know of any approaches or software which can count and classify n-grams in such circumstances? I am aware of approaches outlined by Buerki (2017) and O'Donnell (2011), but these do not seem practical due to the excessive length of the n-grams in the corpus. Does anyone know of any accessible methods or packages? Any input much appreciated.

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CL2023 - FREE online attendance
by Brezina, Vaclav 23 Jun '23

23 Jun '23

Dear all, There is a last chance to register for FREE to watch live streaming of sessions from the International Corpus Linguistics Conference 2023 (CL2023) from Lancaster University, UK 3rd - 6th July. If you can't be in Lancaster in person, you can still sign up to watch our live online broadcasts - for free! https://www.lancaster.ac.uk/cl2023/registration/ 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 [8ED5AC37]@vaclavbrezina [B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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CLASSLA web corpora of Croatian, Serbian and Slovenian
by Taja Kuzman 23 Jun '23

23 Jun '23

** *Dear all,* ** ** * The CLASSLA Knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/ <https://www.clarin.si/info/k-centre/>) is delighted to announce the release of the pilot versions (v0.1) of the CLASSLA web corpora for Croatian (2.3 billion words), Serbian (2.4 billion words) and Slovenian (1.9 billion words). They are available for querying via the CLARIN.SI concordancers (https://www.clarin.si/ske/#open <https://www.clarin.si/ske/#open>). The main features of the newly released corpora, aside from their large size and recency (crawled in 2022) is their automatic enrichment with genre information (https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-cla… <https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-cla…>) and their linguistic processing with the improved CLASSLA-Stanza annotation pipeline (https://pypi.org/project/classla/ <https://pypi.org/project/classla/>). The pilot versions of these corpora are intended to gather valuable user feedback, while the official release (v1.0) of the three existing corpora, along with web corpora for Bosnian, Montenegrin, Macedonian, and Bulgarian, is scheduled for later this year. We warmly welcome you to explore our corpora and feel free to reach out to us at helpdesk.classla(a)clarin.si <mailto:helpdesk.classla@clarin.si>with any ideas for improvements. You are also invited to read our blog post on the use of CLASSLA web corpora via the open CLARIN.SI concordancers: https://www.clarin.si/info/k-centre/classla-web-bigger-and-better-web-corpo… <https://www.clarin.si/info/k-centre/classla-web-bigger-and-better-web-corpo…>. If you are interested in South Slavic resources and technologies, we also invite you to join the CLASSLA mailing list (https://mailman.ijs.si/mailman/listinfo/classla <https://mailman.ijs.si/mailman/listinfo/classla>) and to follow the CLARIN.SI infrastructure on Twitter (https://twitter.com/ClarinSlovenia <https://twitter.com/ClarinSlovenia>).* Best regards, Taja Kuzman, Nikola Ljubešić and many other CLASSLAers

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Call for Abstracts: Computational Linguistics poster session at DGfS
by Tatjana Scheffler 22 Jun '23

22 Jun '23

CALL FOR ABSTRACTS We would like to invite the submission of abstracts for the Computational Linguistics poster session at the 46th Annual Meeting of the German Linguistic Society (DGfS), hosted by the Ruhr University Bochum. This conference brings together linguists from all subfields in Germany and beyond, and the poster session offers an opportunity to share computational approaches to language within the broader community. We invite submissions from all areas of computational linguistics and natural language processing. We especially encourage students and junior researchers to participate. The poster session is organized by the Special Interest Group on Computational Linguistics of the DGfS (dgfs.de/cl). Conference homepage: https://www.dgfs2024.ruhr-uni-bochum.de/ DATES - Abstract submission due: September 30, 2023 - Notification of acceptance: October 13, 2023 - Conference dates: February 28-March 1, 2024 SUBMISSION One page abstract (A4) in PDF format (12pt). Submissions can be in German or English and do not need to be anonymous. Please submit your abstract via email to: tatjana.scheffler(a)rub.de CONTACT Tatjana Scheffler, Ruhr University Bochum, tatjana.scheffler(a)rub.de Annette Hautli-Janisz, University of Passau --- 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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CFP: ALTA 2023
by Diego Molla-Aliod 22 Jun '23

22 Jun '23

ALTA 2023 Call for Papers https://alta2023.alta.asn.au/ IMPORTANT DATES * Submission Deadline for short/long papers, presentation abstracts and industry demonstrations: 5 September 2023 (11:59pm Anywhere on Earth UTC-12) * Author Notification: 14 October 2023 * Camera-Ready Deadline: 28 October 2023 (11:59pm Anywhere on Earth UTC-12) * Tutorials: 29 November 2023 * Main Conference: 30 November and 1 December 2023 OVERVIEW The 21st Annual Workshop of the Australasian Language Technology Association will be held in a hybrid format at Melbourne Connect, Melbourne, from the 29th November to 1st December 2023 The hybrid format gives participants a valuable opportunity to attend either in-person or online. The ALTA 2023 workshop is the key local forum for socialising research results in natural language processing and computational linguistics, with presentations, posters and demonstrations from students, industry, and academic researchers. Like previous years, we would also like to encourage submissions and participation from industry and government researchers and developers. Note that ALTA is listed in the CORE 2021 Conference Rankings as Australasian B. See details from CORE Rankings Portal. TOPICS ALTA invites the submission of papers and presentations on all aspects of natural language processing, including, but not limited to: ● Commonsense Reasoning ● Computational Social Science and Cultural Analytics ● Dialogue and Interactive Systems ● Discourse and Pragmatics ● Efficient Methods for NLP ● Ethics in NLP ● Information Extraction ● Information Retrieval and Text Mining ● Interpretability, Interactivity and Analysis of Models for NLP ● Language Grounding to Vision, Robotics and Beyond ● Language Modeling and Analysis of Language Models ● Linguistic Theories, Cognitive Modeling and Psycholinguistics ● Machine Learning for NLP ● Machine Translation ● Multilinguality and Linguistic Diversity ● Natural Language Generation ● NLP Applications ● Phonology, Morphology and Word Segmentation ● Question Answering ● Resources and Evaluation ● Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc. ● Sentiment Analysis, Stylistic Analysis, and Argument Mining ● Speech and Multimodality ● Summarization ● Syntax, Parsing and their Applications We particularly encourage submissions that broaden the scope of our community through the consideration of practical applications of language technology and through multi-disciplinary research. We also specifically encourage submissions from industry. FORMAT We invite submissions of three different formats: (1) Original Research Papers; (2) Abstract-based Presentations; and (3) Industry Demonstrations. (1) Original Research Papers We invite the submission of papers on original and unpublished research on all aspects of natural language processing. Long papers should be 7-8 pages and short papers should be 3-4 pages. Accepted papers will either be delivered as an oral presentation or as a poster presentation. We only accept poster presentations for participants who are presenting on site. Both short and long papers may include unlimited pages of references in addition to the page count requirements. Note that the review process is double-blind, and accordingly submitted papers should not include the identity of author(s) and the text should be suitably anonymised, e.g. using third person wording for self-citations, not providing URLs to your personal website, etc. Original research papers will be included in the workshop proceedings, which will be published online in the ACL anthology and the ALTA website. Long papers will be distinguished from short papers in the proceedings. (2) Abstract-based Presentations To encourage broader participation and facilitate local socialisation of international results, we invite 1-2 page presentation abstracts. The organisers may offer the opportunity to give an oral presentation or a poster presentation. We only accept poster presentations for participants who are presenting on site. Submissions should include presentation title and abstract, name of the presenter, any publications relating to the work, and any information on collaboration with the local ALTA community. Abstracts will not be published in the proceedings, but simply reviewed by the ALTA executive committee to ensure that they are on topic, coherent and likely to be of interest to the ALTA community. Abstracts on work in progress and work published or submitted elsewhere are encouraged. ALTA invites submissions of all manner interesting research, not limited to, but including: ● established academics giving an overview of an exciting paper or paper/s published in international venues; ● completing research students giving an overview of their thesis work; ● early candidature research students presenting their work-in-progress and ideas, which may not have been published. Presentation abstracts should not be anonymised, any publications relating to the work should be cited in the submission, and the person who will give the presentation should be clearly stated. (3) Industry Demonstrations To encourage industry participation and networking opportunities, we are thrilled to announce a track for industry demonstrations, which provides an exciting opportunity for industry researchers to showcase their NLP applications. You should submit a proposal that is 1-2 pages long, containing: (1) a description of the software, tools or applications that will be presented and how NLP techniques are used to address a specific problem; and (2) a brief introduction of your organisation. The proposals will be reviewed by the ALTA executive committee to select demonstrations that best align with the interest of the ALTA community. MULTIPLE SUBMISSION POLICY Original research papers that are under review for other publication venues or that you intend to submit elsewhere may be submitted in parallel to ALTA. We require that you declare at submission that your paper is submitted to another venue, and identify the venue. Should your paper be accepted to both ALTA and another venue, we allow you to decide whether the paper should be published in the ALTA proceedings, or if it should be treated as a Presentation (without archival publication). In this case you would still be able to present a research talk at the ALTA workshop. This is to encourage more internationally leading research to be presented at the workshop. INSTRUCTIONS FOR AUTHORS PAPER SUBMISSION Authors should submit their papers via OpenReview: https://openreview.net/group?id=ALTA.asn.au/2023/Workshop (using the “ALTA 2023 Workshop Submission” button) Formatting Guidelines Submissions must follow the two-column ACL format. We therefore strongly recommend you use LaTeX style files or Microsoft Word template from: https://github.com/acl-org/acl-style-files Paper Length Long papers should be 7-8 pages (excluding references) Short papers should be 3-4 pages (excluding references) Abstracts ideally should be a few paragraphs and no more than 2 pages Industry demonstration proposals should be 1-2 pages Anonymisation Short and long papers must be anonymised. Abstracts are NOT to be anonymised and must include the author's/authors' affiliation

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[CfP] SEMANTiCS 2023 EU - Call for Workshop Papers
by Anisa Rula & Jennifer D'Souza 21 Jun '23

21 Jun '23

* We apologize if you receive multiple copies of this CFP * * For the online version of this call, please visit: https://2023-eu.semantics.cc/page/workshops * SEMANTiCS 2023 (20th-22nd September - Leipzig, Germany) is hosting an enriched collection of three workshops accepting submissions for contributions: Onto4FAIR: 3rd Workshop on Ontologies for FAIR and FAIR Ontologies Organizers: Cassia Trojahn (Institut de Recherche en Informatique de Toulouse, France), Luiz Olavo Bonino da Silva Santos (University of Twente, Leiden University Medical Centre, the Netherlands), Giancarlo Guizzardi (University of Twente, the Netherlands), Clement Jonquet (French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and Statistics for Environment and Agronomy research unit, Montpellier, France) https://onto4fair.github.io/2023-semantics.html Sem4Tra: 5th International Workshop On A Semantic Data Space For Transport Organizers: David Chaves Fraga (Senior Researcher, UPM & KULeuven), Mersedeh Sadeghi (Senior Researcher, University of Cologne), Shahrom Sohi (Researcher, WU), Julián Rojas (Postdoc Researcher, imec - IDLab UGent), Pieter Colpaert (Senior Researcher, imec - IDLab UGent) https://sem4tra2023.linkeddata.es/ NLP4KGC: 2nd Workshop on Natural Language Processing for Knowledge Graph Construction Organizers: Edlira Vakaj (Birmingham City University, Bermingham, UK), Sanju Tiwari (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Rizou Stamatia (Singular Logic, Athens, Greece), Nandana Mihindukulasooriya (IBM Research, Dublin, Ireland), Fernando Ortiz-Rodríguez (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Ryan Mcgranaghan (NASA Jet Propulsion Laboratory, California, United States) https://sites.google.com/view/2nd-nlp4kgc/home Looking forward to your submissions! With kind regards, Workshop & Tutorial Chairs

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FinTOC 2023 Call For Participation
by FinTOC SharedTask 21 Jun '23

21 Jun '23

Please find the FINTOC 2023 Shared Task Call for Participation below. Apologies for cross-posting. With best wishes, FinTOC 2023 Shared Task organizing committee --- Call for participation: FNP-2023 Shared Task: FinTOC - Financial Document Structure Extraction Practical Information: To be held as part of the 5th Financial Narrative Processing Workshop (FNP 2023) <https://wp.lancs.ac.uk/cfie/fnp2023/>during the 2023 IEEE International Conference on Big Data (IEEE BigData 2023) <http://bigdataieee.org/BigData2023/>, Sorrento, Italy, from 15th December to 18th December, 2023. It is a one-day event of which the exact date is to be announced. =================== Shared Task URL: http://wp.lancs.ac.uk/cfie/fintoc2023/ <http://wp.lancs.ac.uk/cfie/fintoc2022/> Workshop URL: https://wp.lancs.ac.uk/cfie/fnp2023/ Participation Form: https://docs.google.com/forms/d/e/1FAIpQLSdqUKy3YGho0Cw2GF__VHilHZZbR75UDG3… ___________________________________________________________ Shared Task Description: A vast and continuously growing volume of financial documents are being created and published in machine-readable formats, predominantly in aPDF format. Unfortunately, these documents often lack comprehensive structural information, presenting a challenge for efficient analysis and interpretation. Nevertheless, these documents play a crucial role in enabling firms to report their activities, financial situation, and investment plans to shareholders, investors, and the financial markets. They serve as corporate annual reports, offering detailed financial and operational information. In certain countries like the United States and France, regulators such as the SEC (Securities and Exchange Commission) and the AMF (Financial Markets Authority) have implemented requirements for firms to adhere to specific reporting templates. These regulations aim to promote standardization and consistency across firms' disclosures. However, in various European countries, management typically possesses more flexibility in determining what, where, and how to report financial information, resulting in a lack of standardization among financial documents published within the same market. Although there has been some research conducted on the recognition of books and document table of contents (TOC), most of the existing work has focused on small-scale, application-dependent and domain-specific datasets. This limited scope poses challenges when dealing with a vast collection of heterogeneous documents and books, where TOCs from different domains exhibit significant variations in visual layout and style. Consequently, recognizing and extracting TOCs becomes an intricate problem. Indeed, in comparison to regular books that are typically provided in a full-text format with limited structural information such as pages and paragraphs, financial documents possess a more complex structure. They consist of various elements, including parts, sections, sub-sections, and even sub-sub-sections, incorporating both textual and non-textual content. Thus, TOC pages are not always present to help readers navigate the document, and when they are, they often only provide access to the main sections. In this shared task, our objective is to undertake the analysis of various types of financial documents, encompassing KIID (Key Investor Information Document), Prospectus (official PDF documents where investment funds meticulously describe their characteristics and investment modalities), Réglement and Financial Annual Reports/Financial Statements (that provide a detailed overview of a company's financial performance and operations over the course of a fiscal year). These documents play a vital role in providing crucial information to investors, stakeholders, and regulatory bodies. While the content they must contain is often prescribed and regulated, their format lacks standardization, leading to a significant degree of variability. The presentation styles range from plain text format to more visually rich and data-driven graphical and tabular representations. Notably, the majority of those documents are published without a table of contents . A TOC is typically essential for readers as it enables easy navigation within the document by providing a clear outline of headers and corresponding page numbers. Additionally, TOCs serve as a valuable resource for legal teams, facilitating the verification of the inclusion of all the required contents. Consequently, the automated analysis of these documents to extract their structure is becoming increasingly useful for numerous firms worldwide. Our primary focus for this edition is to expand the extraction of table of contents to a wider variety of financial documents, and the task will involve developing highly efficient algorithms and methodologies to address the challenges associated with such a dataset. Our aim is to achieve a level of generalization ensuring that the developed system can be applied to different types of financial documents. This broader scope allows us to explore the applicability of our methodologies across a range of financial document categories, such as KIID, Prospectus, Réglement and Financial Annual Reports/Financial Statements. This way, we want to demonstrate the versatility and effectiveness of the ML algorithms used in TOC extraction, enabling a streamlined and consistent approach across various financial document types. In addition, for this edition, we are excited to introduce a dataset that goes beyond textual annotations. Our proposed dataset will include visual (spatial) annotations that capture the coordinates of the titles and hierarchical structure of the documents. This comprehensive approach enables a more holistic analysis and understanding of financial documents. By incorporating visual annotations, we can capture the visual cues and design elements that contribute to the overall structure and organization of the documents. This allows us to delve deeper into the visual representation of the table of contents and extract valuable insights from the visual hierarchy present in these financial documents. The combination of textual and visual annotations provides a richer and more nuanced dataset, making it possible to increase the accuracy and effectiveness of the machine learning algorithms and methodologies employed in TOC extraction. Thanks to the contribution of the Autonomous University of Madrid (UAM, Spain), the fifth edition of the FinTOC Shared Task welcomes a specific track for Spanish documents, continuing from the previous edition. In this edition, systems will be scored based on their performance in both Title detection and TOC generation using more precise evaluation metrics based on visual annotations. Participants are required to register for the Shared Task. Once registered, all participating teams will receive a common training dataset consisting of PDF documents along with the associated TOC annotations. To participate please use the registration form below to add details about your team: https://docs.google.com/forms/d/e/1FAIpQLSdqUKy3YGho0Cw2GF__VHilHZZbR75UDG3… (now open as of 06/01/2023) _____________________________________________ - 1st Call for papers & shared task participants: June 12, 2023 - 2nd Call for papers & shared task participants: July 17, 2023 - Final Call for papers & shared task participants: August 17, 2023 - Training set release: August 21, 2023 - Blind test set release: September 21, 2023 - Systems submission: October 03, 2023 - Release of results: October 09, 2023 - Paper submission deadline: October 18, 2023 (anywhere in the world) - Notification of paper acceptance to authors: November 01, 2023 - Camera-ready of accepted papers: November 15, 2023 - Workshop date (1 day event) : December 15-18, 2023 (exact date to be announced) _____________________________________________ Contact: For any questions on the shared task please contact us on: fin.toc.task(a)gmail.com _____________________________________________ Shared Task Organizers: - Abderrahim Ait Azzi, 3DS Outscale (ex Fortia), France - Sandra Bellato, 3DS Outscale (ex Fortia), France - Blanca Carbajo Coronado, Universidad Autónoma de Madrid - Dr Ismail El Maarouf, Imprevicible - Dr Juyeon Kang, 3DS Outscale (ex Fortia), France - Prof. Ana Gisbert, Universidad Autónoma de Madrid - Prof. Antonio Moreno Sandoval, Universidad Autónoma de Madrid

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ACL 2023 Discounted Virtual Registration
by Nedjma OUSIDHOUM 20 Jun '23

20 Jun '23

Dear corpora list members, ACL is offering discounted registration waivers for researchers who would not attend the event otherwise ( https://2023.aclweb.org/registration/discounted_virtual_registration) . Please fill out this form <https://forms.office.com/Pages/ResponsePage.aspx?id=DQSIkWdsW0yxEjajBLZtrQA…> on on before June 28th. The notifications will be sent on July 5th. Please note that these are different from the D&I subsidies, see https://2023.aclweb.org/registration/ for more detail. Kind regards, The ACL 2023 D&I Chairs.

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Doctoral student in NLP at Språkbanken, University of Gothenburg, Sweden
by Elena Volodina 20 Jun '23

20 Jun '23

Dear all, (Apologies for cross-posting) This is a reminder that we are looking for a PhD student in NLP to work with us in the project on automatic pseudonymization of Swedish research data (within the project Grandma Karl<https://spraakbanken.gu.se/en/projects/mormor-karl>). Application deadline: June, 27, 2023. Earliest start of the position: October, 1, 2023. Announcement in English: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Announcement in Swedish: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Please, apply or forward to those who may be interested! ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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CoCo4MT 2023 @ MT Summit 2nd Call for Papers
by John Ortega 20 Jun '23

20 Jun '23

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 05, 2023 - Paper submissions due July 05, 2023 - Shared task deadline to submit results July 20, 2023 - Notification of acceptance July 20, 2023 - Shared task system description papers due July 31, 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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GameQA: Gamified Mobile App Platform for Building Multiple-Domain Question-Answering Datasets
by Hrafn Loftsson 20 Jun '23

20 Jun '23

Dear Corpora list members: The Language and Voice Lab (LVL; https://lvl.ru.is/) at Reykjavik University, has developed GameQA -- a gamified mobile app platform for building multiple-domain question-answering (QA) datasets. GameQA has been used to build an Icelandic QA dataset, consisting of about 20,700 peer-reviewed questions of which about 12,700 were answered and reviewed. The technology behind GameQA, as well as the data collection process, is described in the following EACL 2023 paper: https://aclanthology.org/2023.eacl-demo.18/ The source code for GameQA is open and free and LVL has compiled instructions on how to localize it for other languages (https://gameqa.app/). If you are interested in using GameQA for gathering a QA dataset for a particular language, feel free to contact us at gameqa(a)ru.is<mailto:gameqa@ru.is> -- we would be excited to assist you! Regards, Hrafn Loftsson, Ph.D., www.ru.is/~hrafn<http://www.ru.is/~hrafn> Dósent | Associate Professor Tölvunarfræðideild | Department of Computer Science Tæknisvið | School of Technology Háskólinn í Reykjavík | Reykjavik University

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PhD Training: The Multilingual Workplace and Multilingual Society
by Gisle Andersen 20 Jun '23

20 Jun '23

Apologies for cross-postings The Norwegian School of Economics (NHH), University of Bergen and Western Norway University of Applied Sciences welcome PhD candidates to register for the course The Multilingual Workplace and Multilingual Society offered at NHH in Bergen, Norway on 4-6 October 2023. For information about registration etc. see https://www.nhh.no/en/calendar/professional-and-intercultural-communication… Kind regards Gisle Andersen, NHH

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Deadline Extension: Workshop on Counter Speech for Online Abuse
by Abercrombie, Gavin 20 Jun '23

20 Jun '23

**Deadline extended to June 30th** Call for Papers The 1st Workshop on Counter Speech for Online Abuse: A workshop for creating, investigating and improving tools for producing and evaluating counter speech. Hate speech and abusive and toxic language are prevalent in online spaces. For example, a 2019 survey shows that in the UK 30-40% of people have experienced online abuse, and platforms like Facebook bring down millions of harmful posts every year, with the help of AI tools. While removal of such content can immediately reduce the quantity of harmful messages, it can bring about accusations of censorship and may not be effective at curbing hate in the long term. An alternative approach is to reply with counter speech, i.e. targeted responses aimed at refuting the hateful language using thoughtful and cogent reasons, and fact-bound arguments. This has been shown to be effective in influencing the behaviour of both the perpetrators of abuse and bystanders that witness the interactions, as well as providing support to victims. The sheer amount of social media data shared online on a daily basis means that hate mitigation, using counter speech, requires reliable, efficient and scalable tools. Recently, efforts have been made to curate hate countering datasets and automate the production of counter speech. However, this research field is still in its infancy, and many questions remain open regarding the most effective approaches and methods to take, as well as how to evaluate them. This first multidisciplinary workshop aims to bring together researchers from diverse backgrounds such as computer science and the social sciences, as well as policy makers and other stakeholders to attempt to understand how counter speech is currently used to tackle abuse by individuals, activists and organisations, how Natural Language Processing (NLP) and Generation (NLG) can be applied to produce counter narratives, and the implications of using large language models for this task. It will also address, but not be limited to, the questions of how to evaluate and measure the impacts of counter speech, the importance of expert knowledge from civil society in the development of counter speech datasets and taxonomies, and how to ensure fairness and mitigate the biases present in language models when generating counter speech. Topics We invite papers (long and short) on a wide range of topics, including but not limited to: • Models and methods for generating counter speech; • Dialogue agents employing counter speech to address hateful inputs, directed towards other people or the AI itself; • Human and automatic evaluation methods of counter speech tools; • Multidisciplinary studies including different perspectives on the topic such as from computer science, social science, NGOs and stakeholders; • Development of datasets and taxonomy for counter speech; • Potentials and limitations (e.g., fairness, biases) of using large language models for generating counter speech; • Social impact and empirical studies of counter speech on social media, including investigating the effectiveness and consequences on users of employing counter speech to fight online hate; • Proposals for future research on counter speech, and/or preliminary results of studies in this field We accept three types of submissions: * Regular research papers – long (8 pages) or short (4 pages); * Non-archival submissions: like research papers, but will not be included in the proceedings; * Research communications: 2-4 page abstracts summarising relevant research published elsewhere. Submission link: https://softconf.com/n/cs4oa2023 Location: co-located with SIGdialxINLG, Prague, Czechia Important dates All deadlines are Anywhere on Earth (UTC-12) * Submission deadline: Jun 26, 2023 30 Jun 2023 * Notification of acceptance Jul 17, 2023 19 Jul 2023 * Camera-ready deadline Aug 11, 2023 * Workshop date: September 11 2023 Format and Styling Submissions should follow ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting/<https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip>. Organising Committee: * Yi-Ling Chung, The Alan Turing Institute * Gavin Abercrombie, Heriot-Watt University * Helena Bonaldi, Fondazione Bruno Kessler * Marco Guerini, Fondazione Bruno Kessler Contact If you have any questions, please let us know at cs4oa(a)googlegroups.com Website: https://sites.google.com/view/cs4oa Twitter: @cs4oa_workshop<https://twitter.com/cs4oa_workshop> ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Last Mile for Paper Submission
by georgeangelos60＠gmail.com 20 Jun '23

20 Jun '23

*** Last Mile for Paper Submission *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) Submission Deadline: Abstracts by June 25, 2023; Full Papers by July 2, 2023 AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry’s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: • Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities • Blockchains for Service-Oriented and Cloud Computing • Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing • Business processes, e.g., service-based workflow deployment and management • Cloud interoperability, service and Cloud standards • Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT • Cloud-native architectures and paradigms, e.g., microservices and DevOps • Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. • Deployment, composition, and management of applications in Service-Oriented and Cloud Computing • Foundations and formal methods for Service-Oriented and Cloud Computing • Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics • Model-Driven Engineering for Service-Oriented and Cloud Computing • Multi-Cloud, cross-Cloud, and federated Cloud solutions • Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing • Semantic services and service mining • Service and Cloud middlewares and platforms • Software/service adaptation and evolution in Service-Oriented and Cloud Computing • Storage, computation and network Clouds • Sustainability and energy issues in Service-Oriented and Cloud Computing • Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing • Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing • Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds • Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES • Submission of abstracts: June 25th, 2023 (AoE) • Submission of full papers: July 2nd, 2023 (AoE) • Notification to authors: August 4th, 2023 (AoE) • Camera-ready versions due: August 21st, 2023 (AoE) • Author registration due: August 21st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: • Regular Research Papers (15 pages including references) • PhD Symposium (12 pages including references) • Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC’s scope) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). They must be submitted to the EasyChair site at:  https://easychair.org/conferences/?conf=esocc2023 by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair • George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) Program Chairs • Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) • Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/

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Emerging Researcher: Data Analyst (British Council)
by Felice, Mariano (Exams) 19 Jun '23

19 Jun '23

An opportunity to join the Assessment Research Group at the British Council as Emerging Researcher: Data Analyst. Full details and link to application here: https://careers.britishcouncil.org/job/Emerging-Researcher-Data-Analyst/946… For any enquiries, please contact Dr Karen Dunn at Karen.Dunn(a)britishcouncil.org<mailto:Karen.Dunn@britishcouncil.org>. Application deadline is 2nd July. The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.

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Invitation to the CLARIN Cafe "A New CLARIN Resource Family for Lexical Semantic Change Research"
by Barbara McGillivray 19 Jun '23

19 Jun '23

(apologies for cross-postings) Dear Corpora list members, We are delighted to invite you to an upcoming CLARIN Cafe event "A New Clarin Resource Family for Lexical Semantic Change Research". This event is organised by Barbara McGillivray (King’s College London), Fahad Khan (CNR-ILC), and Paola Marongiu (Université de Neuchâtel), and will be held online on July 5 at 14:00-16:00 CEST. The event is supported by CLARIN through CLARIN Resource Families Project Funding. During the event we will present our work for the creation of a new CLARIN Resource Family for lexical semantic change research. We are also thrilled to have two distinguished speakers who will share their expertise and insights on the topic of lexical semantic change research: Florentina Armaselu (University of Luxembourg) and Sabine Tittel (University of Heidelberg). A roundtable discussion at the end of the event aims to foster collaboration and knowledge exchange between the speakers and online participants, and ultimately to inform the future sustainability of our proposal for a CLARIN resource that can adapt to various types of research in this area. Please note that registration is required to receive the details to join this CLARIN Cafe. To register for this event and obtain additional information about the programme, speakers and any relevant updates, please visit the following link: https://www.clarin.eu/event/2023/clarin-cafe-new-clarin-resource-family-lex… Thank you for your attention, and we hope to see you at the CLARIN Cafe on July 5! Best regards, Barbara McGillivray, Fahad Khan and Paola Marongiu Barbara McGillivray | @BarbaraMcGilli<https://twitter.com/BarbaraMcGilli> Lecturer in Digital Humanities and Cultural Computation Group lead of the Computational Humanities Research Group<https://www.kcl.ac.uk/research/computational-humanities-research-group> Strand Campus, Strand, London, WC2R 2LS, Room 3.28, Department of Digital Humanities, King’s College London Group lead of the Computational Humanities Research Group at King’s College London<https://www.kcl.ac.uk/research/computational-humanities-research-group> Turing Fellow<https://www.turing.ac.uk/people/researchers/barbara-mcgillivray>, The Alan Turing Institute Editor-in-chief of Journal of Open Humanities Data<https://openhumanitiesdata.metajnl.com/> Our colleagues are currently taking part in a marking and assessment boycott as part of a dispute with employers about pay and working conditions. King’s has threatened punitive pay deductions for taking this action. Please visit this page<https://docs.google.com/document/d/1B20Z4FzehJErfZGnLSngP8gbDSPveiytnlA4nOd…> to see how you can help.

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Call for Papers DHd2024 - Conference of the Association for Digital Humanities in the German Speaking Area
by Haider, Thomas 19 Jun '23

19 Jun '23

Dear colleagues, *Apologies for cross-posting Please consider submitting to DHd2024 (Digital Humanities Conference of the German Speaking Area) in Passau. The Call for Papers also can be found here: https://dhd2024.dig-hum.de/call-for-papers/ We also warmly welcome reviewers. Please sign up at Conftool (https://www.conftool.net/dhd2024/) and select your preferred topics to review. If you already had a conftool account for DHd2023, you can use your previous credentials. Important Dates: 19.07.2023 Submission Deadline 02.11.2023 Notification of acceptance 04.12.2023 Submission of camera ready version 04.12.2023 Start of registration 15.02.2024 End of registration 26.02.2024 - 01.03.2024 Conference in Passau Call For Papers (English) (German and English CfP here: https://dhd2024.dig-hum.de/call-for-papers/ ) DHd Annual Conference PASSAU 2024 Conference theme ��DH Quo Vadis�� It has been a decade since the representatives of the DHd �C Association for Digital Humanities in the German Speaking Area first gathered in Passau for the annual conference. The conference has since been held in various locations in Germany and other German-speaking countries. As we approach the DHd2024, it is an opportunity to reflect on the progress made within the discipline and develop future perspectives. Over the past ten years, not only has the DHd community steadily grown, but the fields of research and the applications of digital humanities have also evolved and transformed. Digital methods and tools have become integral to everyday research and various aspects of life, with digitization being a prominent topic in public discourse, such as artificial intelligence and big data. Therefore, the Digital Humanities have consistently faced the task of accompanying and providing crucial support in this process, especially in offering interpretation and assistance. This raises questions such as: How can the Digital Humanities meet the increasing demands in areas such as sustainability, ethics, data protection, interdisciplinary collaboration, and data-intensive research? How will the field of DH develop in the next ten years? What are the current and future challenges facing DH? Which methods should be further pursued, and which ones should be reconsidered? For DH researchers, who benefit from the interdisciplinary approach and have access to a wide range of methods, it is a challenge to maintain an overview and adequately assess all approaches. For instance, digital methods and tools need to be critically examined and their application to diverse subject areas critically questioned. This process also involves learning from failures and leveraging both positive and negative experiences from the last decade. The DHd2024 conference will provide a platform to exchange these experiences and discuss potential avenues for development. The representatives of the field have the responsibility of addressing these challenges and shaping the future of DH through collaborative discussions, to meet the demands of a changing digital society. Possible topics for submissions: - Methodological and technical perspectives for the future - Artificial intelligence and its role in the humanities - The impact of Digital Humanities in public discourse - Citizen Science and Digital Humanities - Reflections on ten years of DH in the German-speaking areas: trends, successes, and failures - Current status of standardization efforts: standardized vocabularies, ontologies, markup languages, etc. Besides these focus areas, submissions on any topic related to Digital Humanities are welcome. Additionally, both positive and negative project results can be presented and discussed. Submission Requirements The following may be submitted: Presentations (submission of at least 1500, maximum 2000 words) Presentations in the Doctoral Consortium (submission of at least 500, maximum 750 words) Panels (minimum three, maximum six participants, submission of at least 1200, maximum 1500 words) Posters (minimum 500, maximum 750 words) Pre-conference half-day or full-day workshops (minimum submission 1200 words, maximum 1500 words) To submit, register on ConfTool (https://www.conftool.net/dhd2024/) and upload a dhc file created using the DHConvalidator web service for peer review. Additionally, provide a short summary of approximately 100-150 words in ConfTool. The accepted submissions, which are considered as citable small publications, will be published individually and in the conference publication on the Zenodo Community of the DHd Association. They will also be featured on the conference website and program with short abstracts. The DHConvalidator provides a template for submitting in Word or OpenOffice formats, which includes guidelines for citations, references, and bibliography. The deadline for submissions is 19th July 2023, at 23:59 CEST. Please note that, like in previous years, this deadline will not be extended. The review process will follow an open peer review system, where the names of submitters and reviewers will be disclosed to each other (known as open identities). However, the actual reviews will not be published. Notification of acceptance will be sent by 2nd November 2023. For any submission-related queries, please contact dhd2024(a)uni-passau.de via email. The main languages of exchange in the DHd community are German and English. Proposals can be submitted in German as well as in English. We encourage all participants to present their contributions to the conference in German, but contributions in English are also welcome. It is understood that accepted submissions will be presented by the submitters in person and on site. Each individual may submit only one talk or poster (as the presenting person in ConfTool) and can give only one talk. Co-authorship is limited to a maximum of two additional oral or poster submissions. Furthermore, each individual can be involved in a maximum of one panel or workshop submission. DHd working groups are allowed one additional submission (workshop, panel, or poster), clearly identified as such. For submissions with multiple contributors, it is recommended to use the CRediT taxonomy (https://credit.niso.org/) to indicate the roles of each contributor in a footnote at the beginning of the submission (e.g., ��Contributor Roles: Firstname1 Name1 (Conceptualization), Firstname2 Name2 (Software), Firstname3 Name3 (Writing �C review & editing)��).An academic paper typically includes a bibliography at the end. The word count does not include the words in the bibliography or captions. All other words are counted. A good submission adheres to the principles of sound research work, providing a substantial and formally structured description of the research question, materials, methods, and results. Please note that submissions should be concise yet complete academic publications suitable for publication. If you are uncertain about the format of the submission, we recommend referring to successful examples from the previous conference. The Book of Abstracts for DHd2023 offers an overview of accepted presentations, panels, posters, and workshops. Additionally, the review process handout (in German) for the DHd annual conferences is a helpful resource. Possible formats: Individual presentations (20�� presentation + 10�� discussion; submission of at least 1500, maximum 2000 words): Unpublished results or developments of significant new methods or digital resources and/or a methodological or theoretical concept should be presented. Presentation submissions should contextualise the research contribution in an appropriate way against the background of the current state of research and clearly demonstrate its significance for the (digital) humanities or a respective sub-field thereof. For projects without interim results, the poster format is recommended.For accepted presentation submissions, a camera-ready version of max. 2,500 words must be submitted by 01.12.2023, taking into account the expert opinions. Presentations in the Doctoral Consortium (submission of at least 500, maximum 750 words): The promotion of young researchers is a particular concern of the annual conferences of the Dhd. For this reason, presentations can be submitted separately to a Doctoral Consortium to present dissertation projects of selected participants. In addition to the opportunity to present one��s own research topic, feedback from the specialist audience can also be obtained in this way to further develop one��s own doctoral project thematically and methodologically. The focus is on the initial phase of the doctorate. Doctoral candidates with advanced projects are therefore encouraged to submit individual presentations (see above).Expos��s (500-750 words, plus bibliography) for the Doctoral Consortium can be submitted in the usual way via the ConfTool as a contribution of the type (conference track) ��Doctoral Consortium�� until 19 July 2023. The best submissions will be invited to the Doctoral Consortium. For them, the participation fee for the conference will be waived; in addition, the costs for an overnight stay will be covered by the organisers, if possible. Additional accommodation and travel costs will be borne by the participants themselves.In addition, it is planned to award travel grants to lecturers and participants who have little or no financial resources within the framework of their own positions and projects. Participants in the Doctoral Consortium will also be able to apply for these travel grants. A separate call will be published for the travel grants. Panels (minimum three, maximum six participants including moderator; 60�� panel discussion, 30�� Q&A from audience; minimum submission 1200, maximum 1500 words): Panels provide an opportunity for three to six participants to discuss a topic that goes beyond the scope of a single project, project network or research centre. Panels should not be composed exclusively of participants from the same project. It is encouraged to submit panels related to the conference theme and to give the audience the chance to discuss controversial topics. Care should be taken to ensure that a panel is staffed according to diversity criteria. It is expected that no more than one third of the 90-minute session will be devoted to prepared statements and that the debate within the panel will allow sufficient time for discussion with the audience. Panel organisers will submit a brief description of the topic of at least 1200 words, maximum 1500 words, and confirm the willingness of the listed individuals to participate in the panel. For the acceptance of a panel submission, the stringent presentation of the thematic or methodological coherence of the individual contributions is of decisive importance. Posters (minimum submission 500 words, maximum 750 words): Posters can be submitted on any topic of the Call for Papers. They may also describe the status of individual projects in a descriptive manner. The posters will each be published together with the submissions in the Zenodo Community of the DHd Association under a CC-BY licence. Posters that are accepted for presentation must therefore be submitted by the presenters as a file via ConfTool by 28.02.2024 at the latest. Further information on the procedure will be communicated to the poster presenters after acceptance. Pre-conference workshops (half day/4 h to two half days/8 h incl. breaks; submission of at least 1200, maximum 1500 words): In addition to teaching, training or tutorial formats (e.g. on specific topics, technologies, tools, key skills), collaborative forms of work on topics and/or data (e.g. hackathons, bar camps, tool testing) and longer meetings of DHd working groups geared towards a predefined output can also be submitted. Workshops will last half a day (4 hours, including break) or two half days (7-8 hours, including breaks) and will take place on Monday and Tuesday of the conference week. Submissions must include the following information: Title and a brief description of the topic (minimum 1200, maximum 1500 words), full contact details of all contributors and a paragraph on their research interests. Details of the format Information on the target audience, in particular on necessary prior knowledge The number of possible participants Information on any technical equipment required The call for papers specific to the workshop, if one is published. Workshop leaders are expected to register for the conference. Only presenters who are not otherwise participating in other events of the conference can be exempted from registration. Best Thomas Haider ---- Dr. phil. Thomas Nikolaus Haider Digital Humanities and Multilingual Computational Linguistics University of Passau

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5th Natural Legal Language Processing (NLLP) Workshop (at EMNLP 2023)
by Spanakis, Jerry (DACS) 19 Jun '23

19 Jun '23

The NLLP Workshop 2023<https://nllpw.org/workshop/> will take place on 7 December 2023 and will be co-located with the EMNLP 2023<https://2023.emnlp.org/> conference in Singapore. We will be accepting direct submissions, papers submitted to ARR and EMNLP rejected papers. Submission link is here<https://softconf.com/emnlp2023/nllp2023/> Important dates * Submission deadline ― 18 September 2023 * Notification ― 6 October 2023 * Submission of EMNLP papers with reviews ― 10 October 2023 * ARR Committment deadline ― 10 October 2023 * ARR and EMNLP notification ― 17 October 2023 * Camera ready due ― 20 October 2023 * Presentation due ― 1 December 2023 * Workshop ― 7 December 2023 All deadlines are 11.59pm UTC -12h Call for papers Goal Following the success of the first four editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021, EMNLP 2022), we aim to bring researchers and practitioners from NLP, machine learning and other artificial intelligence disciplines together with legal practitioners and researchers. We welcome submissions describing original work on legal data, as well as data with legal relevance, such as: * Applications of NLP to legal tasks including, but not limited to: * Legal Citation Resolution * Case Outcome Analysis and Prediction * Models of Legal Reasoning * E-Discovery * Lexical and other Data Resources for the Legal Domain * Bias and Privacy * Experimental results using and adapting NLP methods for legal data including: * Classification * Information Retrieval * Anomaly Detection * Clustering * Knowledge Base Population * Multimedia Search * Link Analysis * Entity Recognition and Disambiguation * Training and Using Embeddings * Parsing * Dialogue and Discourse Analysis * Text Summarization and Generation * Relation and Event Extraction * Anaphora Resolution * Question Answering * Query Understanding * Combining Text with Structured Data * Tasks: * Description of new legal tasks for NLP * Structured overviews of a specific task with the goal of identifying new areas for research * Position papers presenting new visions, challenges and changes to existing research practices * Resources: * Creation of curated and/or annotated data sets that can be publicly released and used by the community to advance the field * Demos: * Descriptions of systems which use NLP technologies for legal text; * Industrial Research: * Industrial applications * Papers describing research on proprietary data * Interdisciplinary position papers: * Legal or socio-legal analyses relating to the role NLP can play in the legal field * Critical reflections on the legality and ethics of data collection and processing practices * Critical reflections about the benefits and challenges of Large Language Models (LLMs) from a legal and regulatory perspective * Critical reflections on the legality and ethics of data collection and processing practices Submission We accept papers reporting original (unpublished) research of two types: * Long papers (max 8 pages + references) * Short papers (max 4 pages + references) Appendices and acknowledgements do not count against the maximum page limit and should be formatted according to the guidelines below. To submit a paper, please access the submission link<https://softconf.com/emnlp2023/nllp2023>. Conference proceedings will be published on the ACL Anthology<https://aclanthology.org/>. Ethics section The NLLP workshop adheres to the same standards regarding ethics as the EMNLP 2023 conference<https://2023.emnlp.org/calls/main_conference_papers/#ethics-policy>. Authors will be allowed extra space after the 8th page (4th for short papers) for an optional broader impact statement or other discussion of ethics. 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. Non-archival option The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings. We expect these submissions to describe the same quality of work as archival submissions. These will be reviewed following the same procedure as archival submissions. This option accommodates publication of the work or a superset at a later date in a conference or journal which does not allow previously archived work and to encourage presentation and feedback on mature, yet unpublished work. Non-archival submissions should adhere to the same formatting and length constraints as archival submissions. Dual Submission and Pre-print Policy Papers that have been or will be submitted to workshops, conferences or journals during the review period must indicate so at submission time. Authors of papers accepted for presentation at the NLLP 2023 workshop must notify the organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. Exception: Submissions with the non-archival option are excepted from these requirements. ACL Rolling Review Submissions Our workshop also welcomes submissions from ACL Rolling Review (ARR)<https://aclrollingreview.org/>. Authors of any papers that are submitted to ARR and have their meta review ready may submit their papers and reviews for consideration for the workshop until 10 October 2023. This should include submissions to ARR for the 15 August deadline. The decision of publication will be announced by 17 October 2023. The committment should be done via the workshop submission website: https://softconf.com/emnlp2023/nllp2023/ ("ACL Rolling Review Committment" submission type) EMNLP 2023 Submissions Authors of any papers that have been reviewed for EMNLP 2023 and were rejected have the opportunity to send their paper and reviews to be considered for publication in the NLLP workshop proceedings. The deadline for submitting papers and reviews is 10 October 2023. The decision of publication will be announced by 17 October 2023. The submission should be done via the workshop submission website: https://softconf.com/emnlp2023/nllp2023 ("EMNLP 2023 Submission with reviews" submission type) Double-Blind reviewing The review process is double-blind. Submitted papers must not include author names and affiliations and they must be written in a way so that they do not break the double-blind reviewing process. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. Submission Style & Format Guidelines Paper submissions must use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files> (Latex<https://github.com/acl-org/acl-style-files/tree/master/latex> and Word<https://github.com/acl-org/acl-style-files/tree/master/word>). Please follow the paper formatting guidelines general to "*ACL" conferences available here<https://acl-org.github.io/ACLPUB/formatting.html>. Authors may not modify these style files or 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. All long, short and theme papers must follow the ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>. Presentation * Presentation format for each paper and schedule will be announced between acceptance notification and the camera-ready deadline. * At least one author of each accepted paper must register for the NLLP 2023 workshop by the registration deadline in order for the submission to be published in the proceedings.

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* Extended deadline * Doctoral Consortium, ACM International Conference on Multimodal Interaction (ICMI2023)
by Gualtiero Volpe 19 Jun '23

19 Jun '23

======================================================== * Deadline extended to 25 June 2023 * ======================================================== ACM ICMI 2023 CALL FOR DOCTORAL CONSORTIUM CONTRIBUTIONS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/doctoral-consortium/ ======================================================== The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. Who should apply? ----------------- While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. Why should you attend? ---------------------- The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research. We specifically aim to create an informal setting where students feel supported in their professional development. Important Dates --------------- Submission deadline June 25, 2023 *** EXTENDED *** Notifications July 24, 2023 Camera-ready August 6, 2023 Submission Guidelines --------------------- Graduate students pursuing a PhD degree in a field related to ICMI are eligible to apply for the Doctoral Consortium (DC) and should submit the following materials: 1. Extended Abstract: A description of the PhD research plan and progress. Extended abstracts can be a maximum of four pages, although references can extend to a fifth page if needed. They should follow the same outline, details, and format of the ICMI Short Papers (https://icmi.acm.org/2023/guidelines-for-authors/). However, unlike short papers, DC submissions will not be anonymous. Be sure to include: * The key research questions and motivation of the student’s research * Background and related work that informs the student’s research * A statement of hypotheses or a description of the scope of the technical problem * The research plan, outlining stages of system development or series of studies * The research approach and methodology * Research results to date (if any) and a description of remaining work * A statement of research contributions to date (if any) and expected contributions of the PhD work 2. Advisor Letter: A one-page letter of nomination from the student’s PhD advisor, which should focus on the student’s PhD plan and how the Doctoral Consortium event might contribute to the student’s PhD training and research. 3. Curriculum Vitae: A two-page CV describing the student’s background and work. All materials should be prepared in PDF format and submitted through the ICMI submission system. Process ------- * Submission format: Four-page extended abstract using the ACM format (https://icmi.acm.org/2023/guidelines-for-authors/) * Submission system: Precision Conference System (https://new.precisionconference.com/submissions/icmi23a) * Selection process: Peer-Reviewed * Presentation format: Talk on consortium day and participation in the conference poster session * Proceedings: Extended abstracts published in conference proceedings and ACM Digital Library

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Second CFP (WANLP2023): The 1st Arabic Natural Language Processing Conference
by Salam Khalifa 19 Jun '23

19 Jun '23

*** Apologies for Cross-Posting *** The First Arabic Natural Language Processing Conference (WANLP 2023) co-located with EMNLP 2023 in Singapore. Conference URL: <https://wanlp2023.sigarab.org/> https://wanlp2023.sigarab.org/ Submission URL: TBD WANLP 2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing.WANLP 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. WANLP 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 & shared task 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 they propose techniques or approaches that would interest Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, don't hesitate to get in touch with us at: <https://groups.google.com/u/1/>wanlp-pc-chairs(a)sigarab.org The WANLP 2023 Publicity Chairs, Salam Khalifa and Amr Keleg -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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19th IEEE eScience Conference (eScience 2023): Combo Call for Workshop Papers
by georgeangelos60＠gmail.com 19 Jun '23

19 Jun '23

*** Combo Call for Workshop Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 will host a number of workshops which will be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. eScience 2023 will host the following workshops: ● 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023) http://www.instil-science.eu ● 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023) https://error-workshop.org ● 3rd Workshop on Reproducible Workflows, Data Management, and Security (ReWorDS 2023) https://sites.google.com/vols.utk.edu/rewords23/home ● 4th Global Research Platform (4GRP) Workshop https://www.theglobalresearchplatform.net ● IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023) https://www.ai4health.icar.cnr.it ● Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience (RSE-eScience-2023) https://us-rse.org/rse-escience-2023/ KEY DATES ● Workshop papers submission deadline: Defined per workshop, not before end June 2023 ● Notification of acceptance: Defined per workshop ● IEEE proceedings camera ready: July 21, 2023 ● Workshop days: October 9-10, 2023 Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone. ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee

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PhD Position in Natural Language Processing
by Marco Kuhlmann 19 Jun '23

19 Jun '23

The Natural Language Processing Group at Linköping University has an opening for a PhD Student in Natural Language Processing The research for this position will be within the project ‘Efficient Modularisation and Adaptation of Large Language Models’, which aims to develop methods for dissecting large language models into functional modules that can be trained and updated independently and applied in settings where training data is relatively scarce. The position is fully funded for 4 years. It may be extended up to a maximum of 5 years, based on the extent of teaching and other departmental duties the candidate has participated in. The closing date is 2023-08-15. For more information about the project and the position, please visit https://www.ida.liu.se/divisions/aiics/nlp/phd-student.html Please do not hesitate to contact me for any further questions. Best regards Marco Kuhlmann Professor Department of Computer and Information Science Linköping University

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2nd Workshop on Perspectivist Approaches to Disagreement in NLP: DEADLINE EXTENSION! June 30th
by Simona Frenda 18 Jun '23

18 Jun '23

2nd Workshop on Perspectivist Approaches to Disagreement in NLP (and Beyond) (NLPerspectives) https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach… Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices. Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation. In line with the first edition <https://nlperspectives.di.unito.it/w/w2022/>, the NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., in the context of fairness and inclusion. A key outcome of this second edition will be to build on the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling. Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers. The NLPerspectives workshop will be hosted in person during the 26th edition of ECAI 2023 <https://ecai2023.eu/> in Kraków, Poland, on 30 September or 1 October 2023. Submissions The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of ECAI 2023 conference: https://ecai2023.eu/ECAI2023 We accept three types of submissions: - Regular research papers; - Non-archival submissions: like research papers, but will not be included in the proceedings; - Research communications: 4-page abstracts summarizing relevant research published elsewhere. Research papers (archival or non-archival) may consist of up to 7 pages of content, plus 1 page for references. Research communications may consist of up to 4 pages of content. Submissions should be sent in electronic forms, using the Softconf START conference management system at this URL: https://softconf.com/n/NLPerspectives/user/scmd.cgi?scmd=submitNew Topics We invite original research papers from a wide range of topics, including but not limited to: - Non-aggregated data collection and annotation frameworks - Descriptions of corpora collected under the perspectivist paradigm - Multi-perspective Modelling and Machine Learning - Evaluation of multi-perspective models/ models of disagreement - Multi-perspective disagreement as applied to NLP evaluation - Fairness and inclusive modelling - Perspectivist approaches for social good - Applications of multi-perspective modelling - Computing with (dis)agreement - Perspectivist Natural Language Generation - Foundational aspects of perspectivism - Opinion pieces and reviews on perspectivist approaches to NLP Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). 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. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance At least one author of each accepted paper is required to participate in the conference and present the work. Important Dates * *Friday June **23 30, 2023: Paper submission* * Friday August 4, 2023: Notification of acceptance * Friday September 1, 2023: Camera-ready papers due * Saturday September 30 or Sunday October 1, 2023: Workshop Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, University of Colorado, Boulder Simona Frenda, University of Turin Lucy Havens, University of Edinburgh Elisa Leonardelli, Fondazione Bruno Kessler Sara Tonelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk if you have any questions. Website: https://nlperspectives.di.unito.it/

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CLEF: apologies + Thessaloniki
by Paolo Rosso 16 Jun '23

16 Jun '23

Hola Anastasia Apologies for submitting one of my reviews a bit late: very busy time now at the end of the academic year... At the beginning of July I would like to book flight and accomodation: if you have any suggestion about hotels in Thessaloniki they'd be more than welcome ;-) Have a nice weekend Paolo

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PhD position @UPF - Forgetting How to See Language
by Gemma Boleda 16 Jun '23

16 Jun '23

Position at UPF (not related to me) ---------- Forwarded message --------- https://euraxess.ec.europa.eu/jobs/112976#offer-description PhD scholarship in Forgetting How to See Language In this doctoral research, the candidate will investigate the underlying patterns of this forgetting in visual language discrimination. This interdisciplinary research is part of the ForHowSeeL project <https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/eCFIkRR4PbC1/co…>. By leveraging videos of British Sign Language (BSL) and Japanese Sign Language (JSL) and using computer vision and artificial intelligence methods, the goal is to identify the key visual features and discover low-level patterns in the visual data that infants in the early months of life are able to capture and use to discriminate between different sign languages. Both model-based and data-driven methods for visual data analysis and understanding will be exploited. This position is co-funded by the PhD fellowship program of the Department of Information and Communication Technologies at Universitat Pompeu Fabra (DTIC-UPF), and the María de Maeztu Strategic Research Programme at DTIC-UPF on Artificial and Natural Intelligence for ICT and beyond. This position includes a teaching commitment load of 45 hours per academic year. Starting date (planned)*:* September - October 2023 Application deadline: June 30th, 2023 Gross monthly salary: 1.680€. Additional information and application <https://euraxess.ec.europa.eu/jobs/112976>

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June 2023 Newsletter - LDC
by Penn LDC 15 Jun '23

15 Jun '23

In this newsletter: LDC at ACL 2023 LDC data and commercial technology development New publications: Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01> LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07> ________________________________ LDC at ACL 202 LDC will be exhibiting at ACL 2023, held this year July 9-14 in Toronto, Canada. Stop by our booth to learn more about recent developments at the Consortium and the latest publications. LDC will post conference updates via Twitter and Facebook. We look forward to seeing you there! 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: Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01> was developed by LDC. It contains a set of five interrelated tables presenting each Moroccan Arabic word as an orthographic form in Arabic script and a pronunciation form in International Phonetic Alphabet (IPA) format. This release contains over 21,000 Moroccan Arabic words in Arabic script and IPA notation, and more than 33,000 English tokens. This lexical database is the result of a collaboration with Georgetown University Press (GUP) <https://press.georgetown.edu/> to enhance and update three dialectal Arabic dictionaries -- Iraqi, Moroccan, and Syrian -- originally published in paper form in the 1960s by GUP. LDC also undertook to develop a lexical database for each dialect. The Georgetown Dictionary of Moroccan Arabic <https://press.georgetown.edu/Book/The-Georgetown-Dictionary-of-Moroccan-Ara…> was published in 2019; this work was based on, and expanded, A Dictionary of Moroccan Arabic<https://press.georgetown.edu/Book/A-Dictionary-of-Moroccan-Arabic>. The several enhancements developed by LDC included facilitating comparisons across Arabic dialects and Modern Standard Arabic by providing Arabic script spellings and IPA pronunciations to Moroccan words and phrases; promoting ease of use by language learners and researchers by developing reasonable orthographic conventions for applying the Arabic alphabet to the dialect; and facilitating a user's understanding of morphological and lexical relations by adding information on the linguistic structures of Moroccan Arabic. 2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee. * LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07> is comprised of over 17 million words of Indonesian monolingual text, 950,000 million words of found Indonesian-English parallel text, and 92,000 Indonesian words translated from English data. Over 113,000 words were annotated for named entities and more than 24,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 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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Assistant Professor in Computer Science and Law
by Spanakis, Jerry (DACS) 15 Jun '23

15 Jun '23

At Maastricht Law & Tech lab we are looking for an Assistant Professor in the intersection of law and computer science. Strong experience in NLP is much appreciated! If you have any questions about the position, hit me up! The full text of the position is here<https://www.academictransfer.com/en/329092/assistant-professor-in-computer-…> and attached below. —— We are seeking a talented and motivated individual to join our esteemed faculty as an Assistant Professor in Computer Science and Law. This exciting position offers a unique opportunity to contribute to the rapidly evolving intersection of computer science and law, and to shape the future of both fields. JOB DESCRIPTION Role and Responsibilities: As an Assistant Professor, you will be at the forefront of exploring how technology can benefit the legal domain and how computer science can be advanced through the challenges presented by the law. You will collaborate with legal researchers, computer scientists, and enthusiastic students, collectively striving to understand and utilize the latest advancements in computer science to interpret, apply, and evaluate the law. By working with colleagues from diverse backgrounds, you will tackle pressing societal issues and contribute to the development of innovative solutions. At Maastricht University, we are committed to fostering a supportive and inclusive academic community that values diversity, equity, and inclusion. We believe that by bringing together experts from different fields and backgrounds, we can create a rich and dynamic learning environment that prepares students to become leaders in their fields. As an Assistant Professor in Computer Science in Law, you will be an integral part of this community, and will have the opportunity to contribute to our ongoing efforts to create a more just and equitable society. Why Join Us: * Cutting-edge Research Opportunities: we are renowned for our commitment to groundbreaking research. Join our vibrant community of scholars and contribute to advancing knowledge and understanding in this rapidly evolving field. * Interdisciplinary Collaboration: we foster a collaborative environment where experts from various disciplines come together to tackle complex societal challenges. You will have the opportunity to collaborate with legal researchers, computer scientists, and professionals from diverse backgrounds. This interdisciplinary approach will enrich your research and teaching experiences, providing you with a unique perspective and the chance to make a meaningful impact. * Supportive and Inclusive Community: We are dedicated to creating a supportive and inclusive academic community that values diversity, equity, and inclusion. We provide a nurturing environment that encourages personal and professional growth, ensuring that you feel valued and supported throughout your career. * Dynamic Learning Environment: we offer a dynamic learning environment that promotes interactive teaching and student engagement. You will have the opportunity to inspire and educate the next generation of leaders in computer science and law. Our students are eager to learn about the latest advancements in technology and their legal implications, providing you with a motivated and intellectually curious audience. * International Outlook: Maastricht University is an internationally renowned institution located in the heart of Europe. Joining our faculty will expose you to a multicultural and diverse environment, fostering a global perspective in your research and teaching. You will have the opportunity to collaborate with scholars and experts from around the world, expanding your network and contributing to the global academic community. If you are passionate about computer science and law, and are looking for a challenging and rewarding career that will allow you to make a real impact, we encourage you to apply for this position. Responsibilities: The responsibilities are diverse. You will conduct innovative and high-quality research, write research proposals, participate in strategic and administrative activities, and teach in our program where students learn about both the law and computer science methods. This set of responsibilities will, among other things, allow you to: * Grow in academia * Become a pioneer * Work collaboratively and contribute to an interdisciplinary team * Build networks * Participate and lead projects * Pursue strategies to translate research results into innovation * Develop and advance courses and educational programs at the intersection of law and data science REQUIREMENTS Matching Skills We are seeking applicants with the following skills: * PhD degree in law, data science, artificial intelligence, computer science, mathematics, or a related field. Legal scholars with a doctrinal focus do not fit the profile; * Passion for and experience in applying data science, data science, artificial intelligence, computer science, and / or mathematics (individually and / or jointly); * Ability to teach in English. Willingness to learn Dutch; * Possess a University Teaching Qualification (UTQ) or be prepared to obtain one within two years of appointment; * A personality characterized by vision and ambition; * Team player; * (optional) Geek-friendly. CONDITIONS OF EMPLOYMENT * Preferred start of employment: fall 2023 / spring 2024; * 38 hours per week; * You will be employed temporarily for 12 or 18 months (depending on your employment history) as assistant professor (level 2) and will co-develop and agree to specific development goals. Towards the end of this contract period and upon satisfactory performance, this initially 12 or 18 months position will become permanent; * Remuneration will be according to standard salary levels for assistant professors starting from €3,974 up to €5,439 gross per month based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided; * We offer an attractive package of fringe benefits such as, collective health insurance with attractive conditions, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad; * The research will be conducted at the Maastricht Law & Tech Lab. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM<https://www.maastrichtuniversity.nl/about-um/working-um>. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. DEPARTMENT Department of Private Law The administrative unit under which the position falls is the Department of Private Law. This department consists of a dynamic group of researchers and lecturers. Colleagues describe the Department as an exciting, inspiring, and diverse yet inclusive environment that fosters professional development, ambition, and innovative research in the field of private law. The atmosphere is one of academic freedom. You will be able to engage in a variety of other activities both within and beyond the Law Faculty, be they educational, managerial, strategic or extra-curricular. Support for grant applications will be provided. The Maastricht Law and Tech Lab The research will be carried out at The Maastricht Law and Tech Lab. The Lab is embedded within the Faculty of Law and aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and / or knowledge engineers. ADDITIONAL INFORMATION More information can be obtained from: prof. dr. Gijs van Dijck, email gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl>. To apply at this vacancy, press the button ‘apply now’ to see the application procedure. Please send your application before the deadline of 2 July 2023.

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PhD position in Data Science | AI and law
by Spanakis, Jerry (DACS) 15 Jun '23

15 Jun '23

At Maastricht Law & Tech lab we are looking for a PhD candidate to work on the intersection of at a science | AI and law. We are explicitly looking for candidates that have proven experience working on NLP and ML. You can find examples of our recent output here<https://aclanthology.org/2023.eacl-main.203.pdf>, here<https://arxiv.org/abs/2305.02763>. If you are finishing your master degree soon and you are interested, hit me up! The full text of the position is here<https://www.academictransfer.com/en/329093/phd-candidate-position-on-data-s…> and attached below. —— Maastricht University is offering one paid fulltime PhD position in computational methods and digital legal studies. JOB DESCRIPTION While the development and application of artificial intelligence (AI) has taken off, many vulnerable persons such as victims, social media users, children, and consumers are left unprotected or even exploited because they do not have access to legal information or to law enforcement. In your project, you will seek to contribute to a better understanding of how computational methods can assist in the application, interpretation, or evaluation of the law, for instance to develop solutions for vulnerable persons and ordinary citizens. Data sources may include legal texts (e.g. laws, court decisions), social media data, or forum posts where consumers complain about defective products. You will undertake PhD research at the intersection of law and computer science under the supervision of professors of the Maastricht Law & Tech Lab. Your tasks concern conducting the research for your PhD project. Your PhD project will contribute to the Faculty of Law research programme on Law and Technology within the national framework of the Sectorplan on Digital Legal Studies. Your exact project will be determined in consultation with you. A small proportion of the appointment may be devoted to teaching activities, which commonly amounts to teaching activities in a period of eight weeks per year. Depending on your background and language skills, you will teach courses in law and technology or in private law. You will be offered the opportunity to collaborate with researchers from different disciplines, including machine learning, data science, knowledge engineering, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques, but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences and workshops that will add social and legal knowledge to your skillset. PhD researchers participate in the Maastricht University Graduate School of Law. REQUIREMENTS Matching Skills and Competencies * Master’s degree in Law (LLM) or MSc degree in Computer Science, Data Science, Information Science, Artificial Intelligence or equivalent. * Proven experience with applying natural language processing or machine learning. * Community-friendly team player. * Excellent oral and written English communication. * Optional: geek-friendly. CONDITIONS OF EMPLOYMENT * Preferred start of employment: fall 2023; * 38 hours per week; * We offer a 4 year full-time appointment as PhD candidate. A positive assessment after the first year will result in an extension for another 3 years, which happens in the vast majority of cases; * Remuneration will be according to standard salary levels for PhD candidates starting with a salary of €2.541,- with a yearly growth to €3.247,- gross a month, based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided; * We offer an attractive package of fringe benefits such as, collective health insurance with attractive conditions, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad; * We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education; * We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development; * Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe; * The PhD research will be conducted at the Maastricht Law & Tech Lab. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM<https://www.maastrichtuniversity.nl/about-um/working-um>. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. DEPARTMENT Department of Private Law The administrative unit under which the position falls is the Department of Private Law. This department consists of a dynamic group of researchers and lecturers. Colleagues describe the Department as an exciting, inspiring, and diverse yet inclusive environment that fosters professional development, ambition, and innovative research in the field of private law. The atmosphere is one of academic freedom. You will be able to engage in a variety of other activities both within and beyond the Law Faculty, be they educational, managerial, strategic or extra-curricular. Support for grant applications will be provided. The Maastricht Law and Tech Lab The research will be carried out at The Maastricht Law and Tech Lab. The Lab is embedded within the Faculty of Law and aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and / or knowledge engineers. ADDITIONAL INFORMATION More information can be obtained from: prof. dr. Gijs van Dijck, email gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl>. To apply at this vacancy, press the button ‘apply now’ to see the application procedure. Please send your application before the deadline of 27 June 2023.

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Second Call: : ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 15 Jun '23

15 Jun '23

Apologies for cross-posting ================================================== *CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)* To advance the field of implicit temporal information retrieval from a text, this competition aims to challenge participants to develop automatic methods to identify the literary epochs of a given text, which is considered here as an implicit temporal context of a book. The task on Automatic Classification of Literary Epochs (CoLiE) aims at automatic identification of the literary epoch of a given text from its writing style: (1) Romanticism (1798-1837), (2) Victorian Literature (1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and (5) our days (from 2000). The competition is held as a part of the IACT’23 <https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval This competition is open to anyone with a passion for information retrieval, machine learning, and natural language processing. Whether you are a seasoned expert or a newcomer to the field, we welcome you to participate and extend the boundaries of automated text analysis! Competition site: http://www.kaggle.com/competitions/colie Competition Timeline - May 28, 2023: The competition is open to participants. Training and validation sets together with their labels are available. - July 10, 2023: Test dataset available. - July 17, 2023, 23:59 UTC: Final submission deadline. - July 27, 2023: The winners are announced at the special session at the IACT'23 <https://en.sce.ac.il/news/iact23> workshop. *The organizing team* - Dr. Marina Litvak (marinal(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Dr. Irina Rabaev (irinar(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Prof. Ricardo Campos (ricardo.campos(a)ipt.pt), Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar INESC TEC, Porto Porto, Portugal - Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt) University of Porto Porto, Portugal - Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at) University of Innsbruck, Innsbruck, Austria - Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel -- Best regards, Marina Litvak

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PhD Student (m/f/d) in Natural Language Processing (Multimodal Fact Checking), TrustHLT research group, TU Darmstadt, Germany
by ivan.habernal＠tu-darmstadt.de 15 Jun '23

15 Jun '23

The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a PhD student (m/f/d) as part of our collaboration with the German Federal Bank (Deutsche Bundesbank) within the Innovation Lab “XChange Kooperation Bundesbank - Data Science @ TU Darmstadt”. This position will focus on a broad range of research questions related to multimodal fact checking, including novel problems and task definitions. A solid background in machine learning for natural language processing and dataset construction is essential. The candidate will be part of an interdisciplinary team at the Department of Computer Science at TU Darmstadt and will cooperate with the German Federal Bank. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). -- Requirements -- An ideal candidate has a master in computer science or a related discipline, a strong interest in multimodal natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English. Fluency in German is a plus but not required. -- Diversity -- TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged. -- Team -- TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on legal argumentation and privacy-preserving technologies. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. -- Application -- Please send your detailed CV, references, and a copy of your master’s thesis, the names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “PhD application Bundesbank”. Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline: Friday July 7th, 2023. The position is open until filled.

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Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023
by Loizos Michael 15 Jun '23

15 Jun '23

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans.To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines.The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until June 22nd, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos

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reminder: PhD position in Cognitive Modelling
by Vera Demberg 15 Jun '23

15 Jun '23

We are inviting applications for one PhD position (3 years) of acomputer scientist,computational linguistor psycholinguist,who has experience withor interest incognitive modelling for language processing (e.g., Bayesian models, and/or modelsusing cognitive architectureslike ACT-R). Theposition will be funded as part of theERC Starting Grant "Individualized Interaction in Discourse" ofProf. Vera Demberg, at Saarland University. The goal of the position is todevelop models that capture individualdifferences in discourse and pragmatic processing. The candidatewill conduct research on the design andimplementation of cognitive models of language processingat the level of discourse and/or pragmatic processing. These models should capture individual differences in cognitionsuch as working memory, language experience, background knowledge, theory-of-mind abilities etc. The successful applicant must have excellent spoken and writtenproficiency inEnglish, and have a background in natural language processing or cognitive modelling. Applicants are requested to submit their application, including a cover letter that specifies why you would like to workon this topic and what qualifies you for it, an academic CV, a list of academic publications, yourBSc/ MSc thesis (ora current draft), copies of academic degree certificates and names of two potential references. For application to the PhD position please quote opening number W2289. The applicationsshould be sent via emaildirectly to Prof. Vera Demberg: vera(at)coli.uni-saarland.de *The****application deadline is****June 18th**, 202**3* Saarland University is one of the leading centres for computer science and computational linguistics in Europe, and offers adynamic and stimulating research environment.The groupis affiliated with both theDepartment of Computer Scienceand withtheDepartment of Language Scienceand Technology. Both departments are part of the Saarland Informatics Campus, which brings together 800 researchers and 2000 students from 81countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics,the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Our researchers and students come from all over the world, and our primary working language is English. The Saarland University is an equal opportunities employer. In accordance with its policy of increasing the proportion of womenin this type of employment, the University actively encourages applications from women. Women are given preference in cases ofequal suitability, ability and professional performance. Applications from severely disabled persons will be given preferential consideration in the event of equal suitability. Part-timeemployment is generally possible. We welcome applications regardless of gender,nationality, ethnic and social origin, religion/belief, disability, age, and sexualorientation and identity. Pay grade classification is based on the particular details of the position held and the extent to which the applicant meetstherequirements of the pay grade within the TV-L salary scale. Unfortunately, costs for attending an interview at Saarland University cannot be reimbursed in principle. When you submit a job application to Saarland University you will be transmitting personal data.Please refer to our privacy noticefor information on how we collect and process personal data in accordance with Art.13 of theDatenschutz-Grundverordnung.Bysubmitting your application you confirm that you have taken note of the information in the Saarland University privacy notice.************ -- Prof. Dr. Vera Demberg Computer Science and Computational Linguistics Saarland Informatics Campus Saarland University Campus C7.2 Room 3.02 D-66123 Saarbrücken Phone: +49-681-302-70024 Sekretariat: +49-681-302-70025 Fax: +49-681-302-70026

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Few funded PhD and MSc Positions in the area of AI-enabled next generation networking and multimedia systems in Montreal, Canada
by abdelhak.bentaleb＠concordia.ca 15 Jun '23

15 Jun '23

Dear colleagues, The Intelligent Next Generation Networking and Multimedia (IN2GM) Lab at Concordia University is delighted to announce the availability of a few funded Ph.D. and Master positions in the exciting research areas of networking, multimedia systems, and next-generation network systems and applications. We are seeking highly motivated candidates with a strong interest in networking and media delivery protocols, immersive media, next-generation wireless/mobile networks (5G and beyond), and AI/ML for networking, edge AI and media delivery optimization. Starting Date: Fall 2023 or shortly thereafter (e.g., Winter 2024). Duration: 3-4 years for a Ph.D. degree and 2 years for a Master's degree, with the possibility of extension based on performance. Location: Concordia University, Montreal, Canada. Job Description: As part of an R&D collaboration between Concordia University's IN2GM Lab and industry partners, this project offers an exceptional opportunity to conduct cutting-edge research, develop innovative paradigms, prototype tools, and evaluate results. The focus is on building systems that support the delivery of immersive media over 5G networks. The primary objective of this research is to design an end-to-end AI-enabled immersive media transport system. This encompasses various aspects, including media encoding, media packaging, media ingesting, media delivery over the core and last-mile networks, and media consumption on the client side. The system must adhere to the standards set by IETF, MPEG, and 3GPP. The intended applications of this research include virtual reality (VR), augmented reality (AR), XR (extended reality), and the metaverse. The program offers a competitive salary, and successful Ph.D. and Master students will have the privilege of being supervised by Professor Abdelhak Bentaleb, the esteemed head of the IN2GM Lab. Upon completion, students will be awarded a doctorate degree (for Ph.D. positions) or Master (for Master positions) in Computer Science from Concordia University's Department of Computer Science and Software Engineering, which is part of the Gina Cody School of Engineering and Computer Science. Qualifications: Candidates must have completed a master's degree (for Ph.D. positions) and a BSc degree (for Master'spositions) in Computer Science, Computer Engineering, Communications, or a related discipline, or be nearing completion at the start date of the appointment. Additionally, successful candidates should possess: Excellent background in networking, multimedia systems, and mathematics. Having a background in immersive media, video streaming protocols/formats, wireless 5G networks, and machine/deep learning (e.g., deep reinforcement learning) is a plus. Proficiency in programming languages such as Python, PyTorch, JavaScript, C, and C++. Good English skills, both written and verbal. How to Apply? To apply for these positions, please submit your application to Dr. Abdelhak Bentaleb, Assistant Professor of Computer Science in the CSSE Department at Concordia University, via email at abdelhak.bentaleb(a)concordia.ca Your application should include the following documents: Letter of motivation (maximum 3 pages) explaining your interests related to this position. Please outline your background, elaborate on how you are well-suited for the position, highlight how you can contribute to the described research topics, and provide details about your previous academic projects and publications, if applicable. Detailed curriculum vitae. Soft copies of degree certificates and transcripts from both your bachelor's and master's degrees. To ensure a timely response, please include "PhD (or Master) Position [Application]: Your-Name" in the subject line of your email. About Concordia: Located in the vibrant and multicultural city of Montreal, Concordia University is among the most innovative universities in its approach to experiential learning, research, and education. Concordia is one of the three universities in Quebec where English is the primary language of instruction. It is the first university under 50 years in Canada and the Computer Science and Software Engineering (CSSE) Department is ranked one of the top 10 CS departments in Canada. The CSSE Department is located in the “Quartier Concordia” neighborhood of Downtown Montreal where there are many options for direct transportation: metro, bus, or bike. It provides a suitable learning and research environment where students can flourish their skills. Best Regards, Abdelhak Bentaleb, Ph.D. Assistant Professor of Computer Science Department of Computer Science and Software Engineering (CSSE) Gina Cody School of Engineering and Computer Science Concordia University Montreal, QC, Canada H3H 2R9 Email: abdelhak.bentaleb(a)concordia.ca

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PostDoc positions in AI & Education: ITS for spoken language learning
by Detmar Meurers 15 Jun '23

15 Jun '23

Dear colleagues, the new Postdoc-Kolleg "Education and AI in the 21st century. Technology-enabled innovations in subject-specific teaching settings (PostdocTEIFUN)" of the Tübingen School of Education (TüSE) and Professional School of Education Stuttgart-Ludwigsburg (PSE) will start in 2024. It is offering six Post-doc positions funded for six years (100% TVL E14) to conduct interdisciplinary research in the field of education and AI. The official announcement can be found here: https://uni-tuebingen.de/universitaet/stellenangebote/newsfullview-stellena… Among the various potential research fields, the following could be of interest here: "Development of didactically informed Intelligent Language Tutoring approaches targeting spoken language learning for the English classroom. Potential directions include but are not limited to the realization of perceptual training, input enhancement, automatic corrective feedback, or prosodic complexity analysis." Interested? Please contact us at: Sabine Zerbian, sabine.zerbian(a)ifla.uni-stuttgart.de Detmar Meurers, detmar.meurers(a)uni-tuebingen.de Note that there is a tight deadline for applications: 30.06.2023 All the best, Detmar -- Prof. Dr. Detmar Meurers http://purl.org/dm Dept. of Linguistics - LEAD Graduate School - SFB 833 - Univ. Tübingen

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SemDial 2023 - MariLogue: Deadline Extension: June 23th
by Andy Lücking 14 Jun '23

14 Jun '23

* Apologies for cross-posting * This is to announce that the deadline SemDial 2023 -- MariLogue, the 27th Workshop on the Semantics and Pragmatics of Dialogue, is extended by a week. * New submission date: June 23th, 2023 * Submissions website: https://easychair.org/conferences/?conf=semdial2023marilogue Please note that there are slight follow-up adjustments of short paper/poster submission and registration deadlines: * New short paper submissions due July 10th, 2023 * Registration deadline: July 19th, 2023 For convenience, below the CfP with updated dates. # CALL FOR PAPERS SemDial 2023 -- MariLogue The 27th Workshop on the Semantics and Pragmatics of Dialogue 16--17 August, University of Maribor, Slovenia https://mezzanine.um.si/en/conference/semdial-2023-marilogue/ MariLogue will be the 27th edition of the SemDial workshop series, which aims to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. We welcome submissions with formal, computational and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorisation of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submission to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX (https://2023.aclweb.org/downloads/acl2023.zip) or Word (https://2023.aclweb.org/downloads/acl2023.docx) templates provided for ACL 2023 submissions. The LaTeX template is readily available on Overleaf (https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…). Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2023 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site (https://easychair.org/conferences/?conf=semdial2023marilogue). # IMPORTANT DATES: Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). * Long paper submissions due: June 16th, 2023 * Notification: July 10th, 2023 * Short paper submissions due: July 10th, 2023 * Short paper notification: July 16th, 2023 * Final versions due: August 4th, 2023 * Registration Deadline for presenters/refund deadline: July 19th, 2023 * MariLogue Conference: August 16th--17th, 2023

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Call for Applications for 1 research grant
by Purificação Silvano 14 Jun '23

14 Jun '23

CALL FOR APPLICATIONS FOR 1 RESEARCH GRANT FOR THE PROJECT “STORYSENSE: REACHING THE SEMANTIC LAYERS OF STORIES IN TEXT” AT THE FACULTY OF ARTS AND HUMANITIES OF THE UNIVERSITY OF PORTO AND INESC TEC Applications 29th May to 23rd June The Faculty of Arts and Humanities of the University of Porto hereby opens this Call for Applications for 1 research grant for the project “StorySense: Reaching the Semantic Layers of Stories in Text” at the Faculty of Arts and Humanities of the University of Porto and INESC TEC financed by FCT - Portuguese Foundation for Science and Technology, I.P., project (reference 2022.09312.PTDC). <https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=158946> FLUP - FLUP| Bolsa de Investigação| Projeto STORYSENSE- Refª 2023/18<https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=158946> sigarra.up.pt<https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=158946> [apple-touch-icon-152x152.png] <https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=158946>

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Job Position (Full Time) for Computational Linguist in Hannover
by christian.wartena＠hs-hannover.de 14 Jun '23

14 Jun '23

Dear All, I'm very pleased to announce that we (Hochschule Hannover, Germany) are looking to hire a computational linguist for the VidQA project. VidQA is a joint research project of the Institute for Applied Data Science Hannover (DATA|H) of the HsH, the research center L3S of the Leibniz University and the Technical Information Library (TIB). The aim of the project is the development and evaluation of new methods for the semi-automatic generation of comprehension questions and answers for learning videos. We pursue several research questions, such as the aspect of multimodality of video-based learning media, the generation of distractors ("wrong answers") for multiple-choice questions, and the automatic evaluation of answers in open-ended question formats. We are especially looking for candidates that already have some experience with (neural) language models and have goor programming skills. Basic knowledge of German is an advantage. The position is especially suited for candidates that want to write a PhD thesis related to the project topics. Application deadline is June 26, 2023. Further details can be found at https://karriere.hs-hannover.de/bewerbung/beschreibung-900000104-10057.html Best regards Christian Wartena

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TREC 2023 NeuCLIR
by Sean MacAvaney 14 Jun '23

14 Jun '23

--------------------------------------------------- TREC 2023 NeuCLIR --------------------------------------------------- Cross-language Information Retrieval (CLIR) has been studied at TREC and subsequent evaluations for more than twenty years. Prior to the application of deep learning, strong statistical approaches were developed that work well across many languages. As with most other language technologies though, neural computing has led to significant performance improvements in information retrieval. CLIR has just begun to incorporate neural advances. The TREC 2023 NeuCLIR track presents a cross-language information retrieval challenge. NeuCLIR topics are written in English. NeuCLIR has three target language collections in Chinese, Persian, and Russian. Topics are written in the traditional TREC format: a short title and a sentence-length description. Systems are to return a ranked list of documents for each topic. Results will be pooled, and systems will be evaluated on a range of metrics. This year, we include two new challenges: retrieval from a corpus that includes multiple languages, and retrieval from a corpus of technical documents. --- Task Description --- * Single-Language News Retrieval * Multi-Language News Retrieval * Single-Language Technical Abstract Retrieval * Website: https://neuclir.github.io/ * Mailing List: https://groups.google.com/g/neuclir-participants --- Important Dates --- Already: Evaluation document collection released Already: Track guidelines released Already: CLIR/MLIR: Topics released June 30, 2023: CLIR/MLIR: Submissions due to NIST June 30, 2023: Technical Document Topic Release August 1, 2023: Technical Document Submission September 30, 2023: Results distributed to participants November 2023: TREC 2023 --- Organizing Committee --- Dawn Lawrie, Johns Hopkins University, HLTCOE Sean MacAvaney, University of Glasgow James Mayfield, Johns Hopkins University, HLTCOE Paul McNamee, Johns Hopkins University, HLTCOE Douglas W. Oard, University of Maryland Luca Soldaini, Allen Institute for AI Eugene Yang, Johns Hopkins University, HLTCOE

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LxGr2023: Programme and Call for Participation
by Costas Gabrielatos 14 Jun '23

14 Jun '23

8th Symposium on Corpus Approaches to Lexicogrammar (LxGr2023) The symposium will take place online on 6-8 July 2023. The programme, links to abstracts, and registration details are here: https://sites.edgehill.ac.uk/lxgr/lxgr2023 Participation is free. Last day of registration is 4 July 2023. If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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CFP-WAT2023-Multi-Modal Task
by Shantipriya Parida 14 Jun '23

14 Jun '23

[Apologies for cross-posting] *Call for Participation: WAT2023 English-to-Hindi/Malayalam/Bengali Multi-Modal Translation Task* Description: We invite you to participate in three shared tasks. The aim of the “WAT 2023 Multi-Modal translation task” is to enable research on multilingual multimodal NLP. Workshop on Asian Translation (WAT) is organizing the multimodal English-to-Hindi, English-to-Malayalam, and English-to-Bengali translation tasks using the multimodal datasets (Hindi/Malayalam/Bengali Visual Genome), consisting of text and images suitable for English-to-Hindi, English-to-Malayalam, and English-to-Bengali multimodal machine translation, Image Captioning task and multimodal research. Timeline: Please refer to the task website. Websites: https://ufal.mff.cuni.cz/hindi-visual-genome/wat2023-english-hindi-multi-mod https://ufal.mff.cuni.cz/malayalam-visual-genome/wat2023-english-malayalam-… https://ufal.mff.cuni.cz/bengali-visual-genome/wat-2023-english-bengali-mul… Contact: email: wat-multimodal-task(a)ufal.mff.cuni.cz (same contact for all tasks) Organizers: Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>, Silo AI, Helsinki, Finland Ondřej Bojar, <https://ufal.mff.cuni.cz/ondrej-bojar> Charles University, Prague, Czech Republic -- Shantipriya Parida Senior AI Scientist @ Silo AI <http://www.silo.ai/> Mobile:# +358 (0465787840) LinkedIn <http://linkedin.com/>*Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>* *http://www.shantipriya.me/ <http://www.shantipriya.me/>*

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AIRiAL 2023 Conference - CFP DEADLINE EXTENDED
by Voss, Erik 13 Jun '23

13 Jun '23

Apologies for cross-posting Submission deadline: June 2, 2023 extended until June 16, 2023 Artificial Intelligence Research in Applied Linguistics (AIRiAL) Conference at Teachers College, Columbia University Theme The Future of Artificial Intelligence in Applied Linguistics Location Teachers College, Columbia University Dates September 29-30, 2023 Plenary Speakers Kadriye Ercikan, Vice President of Research at ETS Alina von Davier, Chief of Assessment at Duolingo CALL FOR PROPOSALS The AL & TESOL Language and Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> in the Applied Linguistics & TESOL program at Teachers College will host the Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL) <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/event…>. This conference is a forum for scholarly discussions on Artificial Intelligence research in Applied Linguistics (e.g., Natural Language Processing, Speech Technologies, Computer Vision, and Biometrics). Applied Linguistics is a broad field including scholarship about language analysis and how language is learned in order to achieve some purpose or solve some problem in the real world. It includes areas such as language acquisition, language assessment, language use, language & technology and other related sub-fields. We welcome abstracts exploring the relationship between Applied Linguistics and Artificial Intelligence that align with our conference theme. Research areas include, but are not limited to: - Affective computing - Automated scoring - Conversational AI - Intelligent tutoring - Immersive technologies - Language models - Multilingual ASR - AI literacy education - AI policy decisions - and other related topics Presentation Types Papers Formal presentations of completed research making original scholarly contributions. Presenters will have 15-minutes to discuss their papers, followed by 5 minutes for questions and comments from the audience. Posters Poster sessions provide an opportunity for the presentation of work visually. Poster topics can be works-in-progress and research that is being planned as well as completed projects. Presenters will discuss their posters with participants informally during a one-hour poster session. Proposal Evaluation Criteria Proposals will be evaluated on (1) Contribution to the field of AI in AL, (2) Quality of the proposal, and (3) Clarity of the abstract. Preparation and Submission of Proposals Please submit your abstract through this submission form <https://tccolumbia.qualtrics.com/jfe/form/SV_50jI0FuFAvt5xem>. Abstracts should be max. 250 words. Submission deadline: June 2, 2023 extended until June 16, 2023 Notification date: June 30, 2023 Student Paper Award An award will be presented to the best student paper presentation at the conference. All authors on student papers must be actively-enrolled graduate students at the time of the conference. -- 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 CFP <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/event…> Open Now *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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CfP Special Issue "Artificial Intelligence and Smart Technologies for Achieving Sustainable Goals"
by Hend Al-Khalifa 13 Jun '23

13 Jun '23

Dear Colleagues, We invite you to submit a paper to a special issue about "Artificial Intelligence and Smart Technologies for Achieving Sustainable Goals <https://www.mdpi.com/journal/sustainability/special_issues/Z1I87XD9C3>". Deadline for manuscript submissions: *30 August 2023* *Introduction* The United Nations’ Sustainable Development Goals (SDGs) provide a blueprint for a fairer and more sustainable world for everyone. One of the key ways to achieve these goals is through the use of artificial intelligence (AI) and smart technologies. Artificial intelligence (AI) has been hailed as a game-changer for sustainable development. It has the potential to help achieve the Sustainable Development Goals (SDGs) in a number of ways, including by providing decision support for sustainable development planning, helping to optimize resource use, and increasing transparency and accountability. Smart technologies offer great potential for sustainable development applications. Smart technologies can help to improve the efficiency of resource use, e.g., by reducing wastage, and can also help to improve transparency and accountability. In this Special Issue, we invite papers that explore the potential of AI and smart technologies for sustainable development. We are particularly interested in papers that describe applications of these technologies that have the potential to make a real difference to the achievement of SDGs. We welcome papers from all sectors, including academia, industry, government, and non-governmental organizations (NGOs). Topics of interest include, but are not limited to, the following: - Applications of AI and smart technologies in sustainable development; - The potential of AI and smart technologies to help achieve the SDGs; - Barriers and challenges to the use of AI and smart technologies for sustainable development; - Future directions for the use of AI and smart technologies in sustainable development; - Ethical considerations in the use of AI and smart technologies for sustainable development; - The role of AI and smart technologies in sustainable development policy. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers will be thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Special issue page: https://www.mdpi.com/journal/sustainability/special_issues/Z1I87XD9C3 -- Hend S. Al-Khalifa, PhD Professor Information Technology Department CCIS, King Saud University Saudi Arabia, Riyadh Website: http://fac.ksu.edu.sa/hendk Research: http://iwan.ksu.edu.sa/ Tel: +966-11-8051437 =============== I strive to make a science of my teaching, and when appropriate, I disseminate the results.

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Call for participation - Arabic NER Shared Task 2023
by nagham ghanim 13 Jun '23

13 Jun '23

Dear colleagues, We are happy to invite you to join the *Arabic NER SharedTask 2023* <https://dlnlp.ai/st/wojood/> which will be organized as part of the WANLP 2023. We will provide you with a large corpus and Google Colab notebooks to help you reproduce the baseline results. دعوة للمشاركة في مسابقة استخراج الكيونات المسماه من النصوص العربية. سنزود المشاركين بمدونة وبرمجيات للحصول على نتائج مرجعية يمكنهم البناء عليها. *INTRODUCTION* Named Entity Recognition (NER) is integral to many NLP applications. It is the task of identifying named entity mentions in unstructured text and classifying them to predefined classes such as person, organization, location, or date. Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood, a large and rich Arabic NER corpus. Wojood consists of about 550K tokens (MSA and dialect, in multiple domains) that are manually annotated with 21 entity types. *REGISTRATION* Participants need to register via this form ( *https://forms.gle/UCCrVNZ2LaPviCZS6* <https://forms.gle/UCCrVNZ2LaPviCZS6>). Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. *FAQ* For any questions related to this task, please check our *Frequently Asked Questions* <https://docs.google.com/document/d/1XE2n89mFLic2P9DO_sAD51vy734BOt0kgtZ6bFf…> *IMPORTANT DATES* - March 03, 2023: Registration available - May 25, 2023: Data-sharing and evaluation on development set Avaliable - June 10, 2023 June 30, 2023: Registration deadline (Extended) - July 20, 2023: Test set made available - July 30, 2023: Evaluation on test set (TEST) deadline - Augest 29, 2023: Shared task system paper submissions due - October 12, 2023: Notification of acceptance - October 30, 2023: Camera-ready version - TBA: WANLP 2023 Conference. * All deadlines are 11:59 PM UTC-12:00 (Anywhere On Earth). ** All deadlines are 11:59 PM UTC-12:00 (Anywhere On Earth).* *CONTACT* For any questions related to this task, please contact the organizers directly using the following email address: *NERShare...(a)gmail.com <https://groups.google.com/>* or join the google group: *https://groups.google.com/g/ner_sharedtask2023* <https://groups.google.com/g/ner_sharedtask2023>. *SHARED TASK* As described, this shared task targets both flat and nested Arabic NER. The subtasks are: *Subtask 1:* *Flat NER* In this subtask, we provide the Wojood-Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). The flat NER dataset is the same as the nested NER dataset in terms of train/test/dev split and each split contains the same content. The only difference in the flat NER is each token is assigned one tag, which is the first high-level tag assigned to each token in the nested NER dataset. *Subtask 2:* *Nestd NER* In this subtask, we provide the Wojood-Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). *METRICS* The evaluation metrics will include precision, recall, F1-score. However, our official metric will be the micro F1-score. The evaluation of shared tasks will be hosted through CODALAB. Teams will be provided with a CODALAB link for each shared task. -*CODALAB link for NER Shared Task Subtask 1 (Flat NER)* <https://codalab.lisn.upsaclay.fr/competitions/11594> -*CODALAB link for NER Shared Task Subtask 2 (Nestd NER)* <https://dlnlp.ai/st/wojood/> *BASELINES* Two baseline models trained on Wojood (flat and nested) are provided: *Nested NER baseline:* is presented in this *article* <https://aclanthology.org/2022.lrec-1.387/>, and code is available in *GitHub* <https://github.com/SinaLab/ArabicNER>. The model achieves a micro F1-score of 0.9059 (note that this baseline does not handle nested entities of the same type). *Flat NER baseline:* same code repository for nested NER (*GitHub* <https://github.com/SinaLab/ArabicNER>) can also be used to train flat NER task. Our flat NER baseline achieved a micro F1-score of 0.8785. *GOOGLE COLAB NOTEBOOKS* To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] *Train Flat NER* <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat NER task using the sample Wojood data found in our repository. [2] *Evaluate Flat NER* <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] *Train Nested NER* <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested NER task using the sample Wojood data found in our repository. [4] *Evaluate Nested NER* <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. *ORGANIZERS* - Mustafa Jarrar, Birzeit University - Muhammad Abdul-Mageed, University of British Columbia & MBZUAI - Mohammed Khalilia, Birzeit University - Bashar Talafha, University of British Columbia - AbdelRahim Elmadany, University of British Columbia - Nagham Hamad, Birzeit University - Alaa Omer, Birzeit University

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 13 Jun '23

13 Jun '23

[Apologies for multiple postings] We are happy to announce that 1 new written corpus is now available in our catalogue. *Archives of "El Mundo" Newspaper – Years 2020-2022 <http://catalog.elra.info/en-us/repository/browse/ELRA-W0332/>* ISLRN: 124-545-396-179-3 <http://www.islrn.org/resources/124-545-396-179-3> This corpus consists of 45,658 articles in Spanish from electronic archives of "El Mundo" Newspaper between 2020 and 2022. A few articles also come from publications from other related media: El Mundo Alicante, El Mundo Andalucía, El Mundo Baleares, El Mundo Catalunya, El Mundo Valéncia et Expansión. The number of articles available per year is as follows: - 2020: 15,073 articles - 2021: 14,461 articles - 2022: 16,124 articles TOTAL: 45,658 articles All articles are provided in text format, including HTML tags. This data is released thanks to Unidad Editorial Información General, S.L.U., Spain. This corpus may be also obtained as separate years as follows: Archives of "El Mundo" Newspaper – Year 2020 <http://catalog.elra.info/en-us/repository/browse/ELRA-W0333/> Archives of "El Mundo" Newspaper – Year 2021 <http://catalog.elra.info/en-us/repository/browse/ELRA-W0334/> Archives of "El Mundo" Newspaper – Year 2022 <http://catalog.elra.info/en-us/repository/browse/ELRA-W0335/> 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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Fully funded PhD Scholarship in Causal Machine Learning for Multi-modal data in NLP/Healthcare
by Mohammed Hasanuzzaman 13 Jun '23

13 Jun '23

*Post Title:* *PhD Studentship in Causal Machine Learning for Multi-modal data in NLP/Healthcare* *Location: ADAPT Centre, MTU, Cork Campus, Ireland * *Anticipated Start Date: **September, 2023* *Closing Date:* *27 June, 2023* We are seeking highly motivated and talented individual to join our research team as PhD candidate. This is a full-time, fully-funded position that offers the opportunity to work on innovative projects and make a significant contribution at the interface between machine learning/deep learning, healthcare and Natural Language Processing (NLP) with potential research direction in one of the following areas: Causal reasoning for multi-modal generation, Causal discovery from multi-modal data, Causal reasoning for multi-modal decision making, Causal inference across modalities and Evaluation metrics for multi-modal causal learning. However, we are open to align the Ph.D. research project with your individual interests and expertise. The specific focus and trajectory of the research will be influenced by your personal preferences and research objectives. Your unique perspective and ideas are highly encouraged and valued, as they will contribute to shaping the research project. The successful candidate will be hosted at ADAPT *Centre @ MTU <Centre@MTU>*, Ireland and closely work with a team of mentors from academia and industry. *Why ADAPT Centre?* - Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance. - Work with our interdisciplinary team of leading experts from the complementary fields of, Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability. - Leverage our success. ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards. ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained. As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer: 1. Opportunity to build your profile at international conferences and global events. 2. A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists. 3. A Fully funded, 4 year PhD postgraduate studentship which includes a tax-free stipend of approx. €18,500 per year for up to four years including tuition fees, research and equipment costs and all costs associated with training related covered. *Minimum qualifications* - Master’s degree in either Natural Language Processing, Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills. - Expertise and interest in Machine Learning/Natural Language Processing/Causal Machine Learning - Previous scientific publication experience preferred. - Excellent written and verbal communication and interpersonal skills *Application Process **(incomplete application will not be considered)* Interested candidates can send an application with the following documents directly to Mohammed Hasanuzzaman (*mohammed.hasanuzzaman(a)adaptcentre.ie* <mohammed.hasanuzzaman(a)adaptcentre.ie>) 1. Detailed curriculum vitae, including – if applicable – relevant publications; 2. Transcripts of degrees, 3. The name and email contacts of two academic referees, 4. A cover letter/letter of introduction (max 2000 words). In the letter, applicants should include the following details: 1. An explanation of your interest in the research to be conducted and why you believe they are suitable for the position. 2. Details of your final year undergraduate project (if applicable) 3. Details of your MSc project (if applicable) 4. Details of any relevant modules previously taken, at undergraduate and/or Master level. 5. Details of any relevant work experience (if applicable) ------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 13/06/23, 13:09:55

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Deadline extension: 3rd Workshop on Computational Linguistics for the Political and Social Sciences (CPSS @ KONVENS 2023)
by Gabriella Lapesa 13 Jun '23

13 Jun '23

Deadline extension: 3rd Workshop on Computational Linguistics for the Political and Social Sciences (CPSS 2023): https://sites.google.com/view/cpss2023konvens/home-page * Workshop description * This workshop aims at bringing together researchers and ideas from computational linguistics/NLP and the text-as-data community from political and social science to foster collaboration and catalyze further interdisciplinary research efforts between these communities. * Potential topics * - Modeling political communication with NLP (e.g. topic classification, position measurement) - Mining policy debates from heterogeneous textual sources - Modeling complex social constructs (e.g. populism, polarization, identity) with NLP methods - Political and social bias in language models - Methodological insights in interdisciplinary collaboration: workflows, challenges, best practices - Application of NLP methods to understand and support democratic decision making - Resources and tools for Political/Social Science research - … and more * Important dates * - Submission deadline: June 24, 2023 - Notification of acceptance: July 18, 2023 - Camera-ready deadline: July 22, 2023 - Workshop: September 22, 2023 The workshop is co-located with KONVENS 2023 in Ingolstadt (https://www.thi.de/konvens-2023). * Submissions * We solicit two types of submissions: - archival papers describing original and unpublished work (long papers: max. 8 pages, references/appendix excluded; short papers: max 4 pages, references/appendix excluded). Accepted papers will be published in the ACL anthology. For the submission format, refer to the KONVENS template. - non-archival papers (1-page abstracts, references excluded) describing already published research or ongoing work The two formats will meet the need of researchers from different communities, allowing the exchange of ideas in a "get to know each other" environment which we hope will foster future collaborations. For more information, please refer to the workshop website: https://sites.google.com/view/cpss2023konvens/home-page If you have any questions, please feel free to contact the workshop organizers. * Organizers * Gabriella Lapesa (U-Stuttgart) Christopher Klamm (U-Mannheim) Theresa Gessler (European University Viadrina) Valentin Gold (U-Göttingen) Simone Ponzetto (U-Mannheim)

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Job Opening for Senior Data Scientist (Remote - NLP for medical domain and life sciences)
by Ehsan Khoddam Mohammadi 13 Jun '23

13 Jun '23

Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R *What You'll Do* - Adopt the latest technologies and trends in NLP to your platform - Experience with training, fine-tuning, and serving Large Language Models - Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings - Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data - Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading - Deeply understand and analyze our data model per data source and geo-region and interpret model decisions - Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation. We have more than 1900 curators! - Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production *Requirements* - 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree) - Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field - Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques - Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar - Familiarity with large-scale data processing and analysis, preferably within the medical domain - Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers) - Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX) - Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script - Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team - Used to start-up environments - Social competence and a team player - High energy and ambitious - Agile mindset *You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.About Link: Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.* *About Veeva:* Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities. Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R Ehsan Khoddam Data Science Manager at Veeva Systems Inc.

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Final CfP: The 1st Workshop on Counter Speech for Online Abuse
by Abercrombie, Gavin 12 Jun '23

12 Jun '23

Final Call for Papers The 1st Workshop on Counter Speech for Online Abuse: A workshop for creating, investigating and improving tools for producing and evaluating counter speech. Hate speech and abusive and toxic language are prevalent in online spaces. For example, a 2019 survey shows that in the UK 30-40% of people have experienced online abuse, and platforms like Facebook bring down millions of harmful posts every year, with the help of AI tools. While removal of such content can immediately reduce the quantity of harmful messages, it can bring about accusations of censorship and may not be effective at curbing hate in the long term. An alternative approach is to reply with counter speech, i.e. targeted responses aimed at refuting the hateful language using thoughtful and cogent reasons, and fact-bound arguments. This has been shown to be effective in influencing the behaviour of both the perpetrators of abuse and bystanders that witness the interactions, as well as providing support to victims. The sheer amount of social media data shared online on a daily basis means that hate mitigation, using counter speech, requires reliable, efficient and scalable tools. Recently, efforts have been made to curate hate countering datasets and automate the production of counter speech. However, this research field is still in its infancy, and many questions remain open regarding the most effective approaches and methods to take, as well as how to evaluate them. This first multidisciplinary workshop aims to bring together researchers from diverse backgrounds such as computer science and the social sciences, as well as policy makers and other stakeholders to attempt to understand how counter speech is currently used to tackle abuse by individuals, activists and organisations, how Natural Language Processing (NLP) and Generation (NLG) can be applied to produce counter narratives, and the implications of using large language models for this task. It will also address, but not be limited to, the questions of how to evaluate and measure the impacts of counter speech, the importance of expert knowledge from civil society in the development of counter speech datasets and taxonomies, and how to ensure fairness and mitigate the biases present in language models when generating counter speech. Topics We invite papers (long and short) on a wide range of topics, including but not limited to: • Models and methods for generating counter speech; • Dialogue agents employing counter speech to address hateful inputs, directed towards other people or the AI itself; • Human and automatic evaluation methods of counter speech tools; • Multidisciplinary studies including different perspectives on the topic such as from computer science, social science, NGOs and stakeholders; • Development of datasets and taxonomy for counter speech; • Potentials and limitations (e.g., fairness, biases) of using large language models for generating counter speech; • Social impact and empirical studies of counter speech on social media, including investigating the effectiveness and consequences on users of employing counter speech to fight online hate; • Proposals for future research on counter speech, and/or preliminary results of studies in this field We accept three types of submissions: * Regular research papers – long (8 pages) or short (4 pages); * Non-archival submissions: like research papers, but will not be included in the proceedings; * Research communications: 2-4 page abstracts summarising relevant research published elsewhere. Submission link: https://softconf.com/n/cs4oa2023 Location: co-located with SIGdialxINLG, Prague, Czechia Important dates All deadlines are Anywhere on Earth (UTC-12) * Submission deadline: Jun 26, 2023 * Notification of acceptance Jul 17, 2023 * Camera-ready deadline Aug 11, 2023 * Workshop date: September 11/12 2023 Format and Styling Submissions should follow ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting/<https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip>. Organising Committee: * Yi-Ling Chung, The Alan Turing Institute * Gavin Abercrombie, Heriot-Watt University * Helena Bonaldi, Fondazione Bruno Kessler * Marco Guerini, Fondazione Bruno Kessler Contact If you have any questions, please let us know at cs4oa(a)googlegroups.com Website: https://sites.google.com/view/cs4oa Twitter: @cs4oa_workshop<https://twitter.com/cs4oa_workshop> ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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Call for Book Chapters: Computational Intelligence based Hyperspectral Image Analysis, Springer (Scopus Indexed)
by Anu Bajaj 12 Jun '23

12 Jun '23

Dear Colleagues We cordially invite researchers and scientists working in hyperspectral image analysis all around the globe to participate and submit their research work to contribute to our book titled "Computational Intelligence based Hyperspectral Image Analysis". It would help if you could let us know the tentative title of your contribution within 10 days of receiving this mail so that we can plan / structure the table of contents of the book. Submission link: https://forms.gle/owMZQys1yd6zXtkMA Scope of the Book: -------------------- Computational Intelligence (CI) based hyperspectral image analysis has gained significant importance in recent years due to its ability to extract valuable information from hyperspectral images and make predictions. Hyperspectral images provide a rich source of information about the composition and properties of objects in the environment. However, the vast amount of data generated by hyperspectral images can be overwhelming and hard to analyze. With their ability to provide valuable insights and improve decision-making, Computational Intelligence techniques act as a powerful tool that aids in automatic analysis and improves accuracy. Recent advances in the field have provided new and exciting ways to employ CI-based hyperspectral image analysis in many diverse applications. The book aims to showcase these latest achievements and novel approaches in this field, focusing on their wide applications in agriculture, the environment, defense, medical diagnostics, food and product inspection, and mineral exploration. It will be an essential resource for those seeking to deepen their understanding of how hyperspectral image analysis can combine with computational intelligence techniques to solve specific tasks in different application fields from a multidisciplinary perspective. The topics include, but are not limited to: --------------------------------------------- Hyperspectral Image Acquisition Hyperspectral Image Enhancement Hyperspectral Image Clustering Hyperspectral Image Representation Hyperspectral Image Restoration Hyperspectral Image Filtering Hyperspectral Image Classification Hyperspectral Image Segmentation Hyperspectral Image Retrieval and Indexing Hyperspectral Image Compression Spatial/Spectral Super-Resolution Computational Imaging Object Detection Applications in Remote Sensing Multispectral/Hyperspectral Image Processing: Band Selection, Dimensionality Reduction, Compressive Sensing, Sparse Representation, Image Registration/Matching, Image Denoising/Destriping, Image Fusion/Pansharpening Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Deep Learning on Hyperspectral Images Real time Monitoring and applications Important Dates: --------------------- Full Chapter Submission Deadline August 30, 2023 Final Notification of Acceptance October 15, 2023 Final Chapter Submission Deadline November 15, 2023 Publisher Details: ---------------------- This book will be published in the Springer Series "Intelligent Systems Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394) Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for Scientific Journals and Series Submission Guidelines: ---------------------- The length of a book chapter should be between 20 and 30 pages. Chapters must be formatted according to Springer format (Latex or Word). The manuscript should be submitted in Word or Latex files. The plagiarism rate should be less than 15%. The figure should not have any copyright issues; either it can be redrawn or a copyright certificate should be obtained. There is no processing or publication charge for this book. More details on https://sites.google.com/view/cihia2023/home ----- Best Regards Editors: Ajith Abraham, Flame University, Pune, India; Machine Intelligence Research Labs (MIR Labs), USA Anu Bajaj, Thapar Institute of Engineering and Technology, Patiala, Punjab, India Jyoti Maggu, Thapar Institute of Engineering and Technology, Patiala, Punjab, India Information contact: Anu Bajaj (er.anubajaj(a)gmail.com)

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19th IEEE eScience Conference (eScience 2023): Last Mile for Paper Submission
by georgeangelos60＠gmail.com 12 Jun '23

12 Jun '23

*** Last Mile for Paper Submission *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ (*** Submission Deadline Extension: June 19, 2023, AoE, FIRM!) eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: • Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions • Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Paper Award • Best Student Paper Award • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Paper Submissions Due: June 19, 2023 (AoE) (FIRM!) • Notification of Paper Acceptance: July 10, 2023 • Poster Submissions due: July 7, 2023 (AoE) • Poster Acceptance Notification: July 24, 2023 • All Camera-ready Submissions due: August 14, 2023 • Author Registration Deadline: August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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SemDial 2023 - MariLogue: Registration open!
by Andy Lücking 12 Jun '23

12 Jun '23

* Apologies for cross-posting * The registration for SemDial 2023 - MariLogue, the 27th Workshop on the Semantics and Pragmatics of Dialogue is now open! Got to: https://mezzanine.um.si/en/conference/semdial-2023-marilogue/ Note that the submission dateis close: June 16th, 2023 (Submissions website: https://easychair.org/conferences/?conf=semdial2023marilogue)

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PhD position on neural and cognitive basis of computational models of language at the University of Sheffield (UK)
by Aline Villavicencio 12 Jun '23

12 Jun '23

We are inviting applications for one fully funded PhD position (covering UK home tuition fees and stipend) in the Department of Computer Science, University of Sheffield (UK). Please forward this announcement to potentially interested candidates. The deadline is July 10, 2023, with a starting date for the Autumn of 2023 (from September on). More details below and on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…>. About the Project: neural and cognitive basis of computational models of language Advances in the design of computational models that learn directly from data has led to much progress in areas like natural language processing (NLP). We invite applications for a fully-funded PhD studentship on human- inspired computational models of language. This multidisciplinary project, at the intersection of machine learning, NLP and computational neuroscience, aims to develop computational models of language processing inspired by the neural and biological basis of human language. Candidate requirements: Applicants will need to meet general entry requirements, and ideally will have a Bachelor’s degree (or above) in Computer Science, Neuroscience, Physics, Cognitive Science, Psychology or related discipline (preferably a First Class or the equivalent from an overseas university). Experience on statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. Additional English language requirements can be found here: <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/english-language <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>. How to apply Applications for the PhD studentship must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Aline Villavicencio as proposed supervisor. Information on what documents are required and a link to the application form can be found here - <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/phd/apply/applying <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…> Funding Notes This position is funded by a studentship from the Department of Computer Science, covering the UK home tuition fee and providing a stipend at the standard UKRI rate. International students are eligible to apply if they can self-fund the difference between the home and overseas fee. More details on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…> ---------------------------------------------------- Prof. Aline Villavicencio <https://sites.google.com/view/alinev>(she/her) Chair in Natural Language Processing Director of Equality, Diversity and Inclusivity Department of Computer Science, University of Sheffield https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio

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DGfS2024 workshop 'Towards Linguistically Motivated Computational Models of Framing' (dgfs2024-framing)
by Ines Rehbein 12 Jun '23

12 Jun '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) …". Submissions open: June 1, 2023 - Aug. 18, 2023 Abstract review period: Aug. 21, 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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? Odd posting ?
by Nick de Carlo 11 Jun '23

11 Jun '23

Hello, what is "the Princeton"? Why is the email not affiliated with an institution? Has this list been opened up to scams?

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Re: др
by Slava Mikhaylov 10 Jun '23

10 Jun '23

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CFP: Presentation at CIKM 2023 Industry Day
by jiyinhe＠gmail.com 10 Jun '23

10 Jun '23

The Industry Day of CIKM ’23 will be held on Sunday 22nd Oct 2023 in Birmingham, UK. As with the main conference, which will be held on-site, we anticipate that all presentations for the Industry Day will be delivered in person. Exceptions may be made in case of severe travelling restrictions. We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘23 Call for Papers are used in an industrial setting. For example, how machine learning is put to use in practical scenarios, how user behaviour can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimised, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to: * Innovative approaches used in deployed systems and product * System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects * Metrics and measurement techniques used to understand performance of production systems * Practical challenges such as data, privacy, integrity, scale, regulation, etc. * Domain specific challenges and niche focuses * Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceeding. Each presentation will be 15-20 minutes long including Q&A. Submissions should include: Title and abstract Speaker's bio Relevance to above themes and CIKM topics CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations. Speakers will be asked to confirm their presence at the conference if their submission is accepted. Submission Instructions Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/my/conference?conf=cikm23 Important Dates: - All deadlines are at 11:59pm in the Anywhere on Earth time zone. - Submissions Due: July 14, 2023 - Notifications: August 11, 2023 - Camera ready for abstracts (no exceptions): August 18, 2023 Industry Day Chairs Jiyin He, Signal AI, UK Jeremy Pickens, Redgrave Data, USA Contact: cikm2023-industry(a)easychair.org

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Re: Visualizing graphs of words as nodes from text lines (not just adjacency pairs) ...
by Albretch Mueller 10 Jun '23

10 Jun '23

On 6/9/23, Serge Heiden <slh(a)ens-lyon.fr> wrote: > Hi Albretch, > > For some ideas, I made something related to that more than 20 years ago: > https://shs.hal.science/halshs-00151838v1/document (in French sorry, > just looking at the graphs at the end should be informative) > Not as interactive as it could, but UI technologies have evolved now. > > Best, > Serge > Nothing to apologize for, last time I checked (speaking or) writing a paper in French or any other language other than Russian wasn't illegal or wrong in any way (USG has made "radioactive" even the use of any English word starting with "Vlad" or "Put"). Also, one of my Ls is Spanish, I am fairly acquainted with Latin and know or can easily infer a good chuck of French words. translate.google.com does a relatively fine job of blunt translation of the general sense of texts. For some reason I had to download your paper and upload to google translate to be able to read it in English, since it has even taken over as my preferred curse language. I found your paper very interesting, so I gave it a first reading to think about it and reread it more carefully later when I found the time to do so. Furthermore (how do you say „darüberhinausgehend" in English? ;-)), those "face-à-faces" kinds of political debates, seen as forceful "conversations", -conversations nonetheless-, bring about a whole host of corpora research issues I am sure you/those studying such topics must have noticed. There are different kinds of "conversations". Friar Leo (Saint Francis' fioretti) and Evodius (Saint Augustine's "De libero arbitrio voluntatis") were both real persons but the conversation of sort was very one-sided with Friar Leo pretty much lending an ear to Saint Francis and Evodius who was more of an equal and Saint Augustine's personal friend. Plato, involved his teacher Socrates, Alcibiades (even a slave in his Meno which in those times was quite an affront to mock the establishment), but also the Egyptian god of writing (Thoth) in his dialogues. Shakespeare's and Dostoevsky's fictional characters have taken a voice and life of their own for many generations. However all those conversations have some aspects in common. Conversations/dialogues are peculiar in the sense that (kind of like with music) you have more than one text realizing more or less hopefully a certain train of thought (Gedankengang), yet all participating texts reflect explicitly/lexically or implicitly in more of a connotative way on one another into some sort of more orchestral narrative, which (as the poet in me sees it) can NOT be fully reduced in a syntactically operational way to just the participating texts. Think of how music is played (when we had such thing) each instrument (in accord with some shared harmonic and rhythmic) doing its own part, but also as part of a Hegelian whole. > “Words have no meaning; they only have uses”. Wittgenstein's quip could lead to meaning, if we knew for a term all of its uses. But this set does not exist. Actually, technically speaking and demonstrably, this is not quite the case. It hasn't been for at least two decades. A back of the envelope calculation will show that, as part of the societally-wide "monitoring" in the breath by breath surveilled societies we live in these days, recording, tracking ("every piece of tangible information" (tm) to "its source") and indexing in a cross-correlated way everything everyone says for good real time is not only feasible, but it is exactly what the NSAs of the world have been very cheaply doing with the happily willing cooperation of proles who (to George Orwell's dismay) can't take their head off from their cell phones' ass. > Because the words depend on the "situations" of use, causes and conditions of their enunciation, and we know well that these vary ad infinitum, ... I have no way of knowing if "ad infinitum" is meant in a metaphoric way. In actual texts, seeing words as nodes in DAGs, "ad infinitum" would mean what?, six (6) words? > ... in time as well as in space. The only solution consists in seizing one of these "situations" where the text is stated, precise, clearly circumscribed, dated, controllable in its essential aspects, then to make, about it, the sum of the words to be studied ... and this is what makes corpora research interesting. "These situations" don't exist ;-). The essentially locked inner- and outer-intersubjectivity of language makes impossible (and/or hopelessly senseless) to clearly circumscribe in controllable ways the essential aspects of what, when, where, how ... a text is stated, because texts don't have a life of their own, nor do they determine or are derived from "factual reality" as if they were just an object, like a piece of stone, in the physically empirical ways we have been conditioned to "rationally" think since the scientific revolution. In a Hegelian („im ,Allgemeinen' Sinne"), every one who listened to, thought about such debates and/or relates to them even in more or less indirect, marginal ways (as we do right now while we talk about it) would be part of "those situations". How could you "clearly circumscribe ..." that? Niggah isn't really into protagonism, but I could relate a (in an early sense the most) formative experience I have had with texts (for whatever reason I have always loved to read alternating more than one book during the same period of time since I was little). I was born into and raised in the Cuba of the 60's (during the most determining, "crazy" periods of "the revolution") as part of a family of high profile political dissidents (imprisoned before and after for political reasons), which taxed, busied the hell out of your mind. From teachers not speaking, not even looking at me during classes (which other kids, of course, noticed and protested/asked about even to their own parents (I myself could not understand it either)), "because" as my mother explained to me, "they had to then write down all I said during classes for the police to keep as part of my profile" (in those times they didn't have cameras, sensors everywhere; people didn't have cell phones); to my mother forcing her children to go to church "because she didn't like that idea of politicians telling people what/how to think" (I could not understand what "politicians" meant, nor could I why they would mess with my wanting to play with my friends)) I could not make sense of most of the hellish weirdness happening around me but I kept thinking and asking my mother about it who would then start telling me about "the banality of evil", ... which I couldn't quite understand either, forcibly turning me into some sort child philosopher. One day I found in a box on its way to the garbage a religious book ("Cien lecciones de historias sagradas") which included the story in "Saint Francis' fioretti" about "what 'perfect' joy consists in". The moral of that story conceptually paraphrased by yours truly as a philosophical statement with a consciousness studies slant to it would be: "the greatest of all gifts and graces that God grants us with is the capacity of overcoming oneself". That one liner overwhelmingly fascinated me (it has to this very day!, its truthfulness, its poetic import, its liberating hopefulness, …!). Later I understood Saint Francis was talking about that thing they used to call "virtue" (which, since you can’t can it and sell it it doesn’t matter much these days), ... and that the underlying aspect his true statement was based on had no explanation (kind of "pulling oneself up by one's own bootstraps" not even using some sort of Archimedean lever, but one's own spirituality. How on earth is that even possible!?!) and how could something Saint Francis said to friar Leo during their wintry talk to Saint Mary's of the Angels in Perugia/Umbria/Central Italy in the XIV century as part of the medieval Zeitgeist, after going through such a long sequence of communicative realizations (from Fr. Ugolino authoring, discussions, reprints, moving the text to another continent, ...) impress so mightily a little boy in Havana some 500+ years later? > From this sum, this exploration and this exhaustive comparison of contexts, the statistical research of co-occurrences can draw an objective description. Does it put us on a track that leads to meaning? Yes, to some extent, but we shouldn't be illusive about that kind of "objective description". The interesting aspect would be: to which extent would claims about "objectivity" demonstrably be, in some sense factual and to which extent we would be, "quite naturally", reading whatever we want into those texts in order to "logically" justify whatever we want? We should keep it real because our work is part of the "AI"-based "social control" (as freedom lovers call -repression-) thoroughly employed these days in all levels of society and against individuals they target. Yet, there must be something to it, because we live and learn through our conscious communicative exchanges. Society at large is kind of a corpus, a hyper forest of decentralized texts (not only "texts" in the way we see them as sequences of characters consciously written on some permanent media from stone, to reed, to paper, to magnetic excitation on a hard drive, but our actions are functional "texts" through which we constantly interacting with one another ...) You buy some veggies paying with some money which you earned by functionally doing whatever with a social import, which doesn't mean the same to you as it does to the farmer growing it, the people who brought it to the store or selling it to you, ..., but it somehow all happens just fine. "Money", "texts", ... semiologically serving as multipurpose accommodating and balancing medium both outer- and inner-intersubjectively, indeed our mind-body link! lbrtchx

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CFP for NLP-OSS @ EMNLP2023
by Elijah Rippeth 09 Jun '23

09 Jun '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 and no LLM has beaten its F1 score. However, the code is now 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 want 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: 1st CALL FOR PAPERS ==== ---------------------------------------------------------------- *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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Call for participation - Arabic NER Shared Task 2023
by nagham ghanim 09 Jun '23

09 Jun '23

Dear colleagues, We are happy to invite you to join the *Arabic NER SharedTask 2023* <https://dlnlp.ai/st/wojood/> which will be organized as part of the WANLP 2023. We will provide you with a large corpus and Google Colab notebooks to help you reproduce the baseline results. دعوة للمشاركة في مسابقة استخراج الكيونات المسماه من النصوص العربية. سنزود المشاركين بمدونة وبرمجيات للحصول على نتائج مرجعية يمكنهم البناء عليها. *INTRODUCTION* Named Entity Recognition (NER) is integral to many NLP applications. It is the task of identifying named entity mentions in unstructured text and classifying them to predefined classes such as person, organization, location, or date. Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood, a large and rich Arabic NER corpus. Wojood consists of about 550K tokens (MSA and dialect, in multiple domains) that are manually annotated with 21 entity types. *REGISTRATION* Participants need to register via this form ( *https://forms.gle/UCCrVNZ2LaPviCZS6* <https://forms.gle/UCCrVNZ2LaPviCZS6>). Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. *FAQ* For any questions related to this task, please check our *Frequently Asked Questions* <https://docs.google.com/document/d/1XE2n89mFLic2P9DO_sAD51vy734BOt0kgtZ6bFf…> *IMPORTANT DATES* - March 03, 2023: Registration available - May 25, 2023: Data-sharing and evaluation on development set Avaliable - June 10, 2023: Registration deadline - July 20, 2023: Test set made available - July 30, 2023: Evaluation on test set (TEST) deadline - Augest 29, 2023: Shared task system paper submissions due - October 12, 2023: Notification of acceptance - October 30, 2023: Camera-ready version - TBA: WANLP 2023 Conference. ** All deadlines are 11:59 PM UTC-12:00 (Anywhere On Earth).* *CONTACT* For any questions related to this task, please contact the organizers directly using the following email address: *NERShare...(a)gmail.com <https://groups.google.com/>* or join the google group: *https://groups.google.com/g/ner_sharedtask2023* <https://groups.google.com/g/ner_sharedtask2023>. *SHARED TASK* As described, this shared task targets both flat and nested Arabic NER. The subtasks are: *Subtask 1:* *Flat NER* In this subtask, we provide the Wojood-Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). The flat NER dataset is the same as the nested NER dataset in terms of train/test/dev split and each split contains the same content. The only difference in the flat NER is each token is assigned one tag, which is the first high-level tag assigned to each token in the nested NER dataset. *Subtask 2:* *Nestd NER* In this subtask, we provide the Wojood-Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). *METRICS* The evaluation metrics will include precision, recall, F1-score. However, our official metric will be the micro F1-score. The evaluation of shared tasks will be hosted through CODALAB. Teams will be provided with a CODALAB link for each shared task. -*CODALAB link for NER Shared Task Subtask 1 (Flat NER)* <https://codalab.lisn.upsaclay.fr/competitions/11594> -*CODALAB link for NER Shared Task Subtask 2 (Nestd NER)* <https://dlnlp.ai/st/wojood/> *BASELINES* Two baseline models trained on Wojood (flat and nested) are provided: *Nested NER baseline:* is presented in this *article* <https://aclanthology.org/2022.lrec-1.387/>, and code is available in *GitHub* <https://github.com/SinaLab/ArabicNER>. The model achieves a micro F1-score of 0.9059 (note that this baseline does not handle nested entities of the same type). *Flat NER baseline:* same code repository for nested NER (*GitHub* <https://github.com/SinaLab/ArabicNER>) can also be used to train flat NER task. Our flat NER baseline achieved a micro F1-score of 0.8785. *GOOGLE COLAB NOTEBOOKS* To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] *Train Flat NER* <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat NER task using the sample Wojood data found in our repository. [2] *Evaluate Flat NER* <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] *Train Nested NER* <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested NER task using the sample Wojood data found in our repository. [4] *Evaluate Nested NER* <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. *ORGANIZERS* - Mustafa Jarrar, Birzeit University - Muhammad Abdul-Mageed, University of British Columbia & MBZUAI - Mohammed Khalilia, Birzeit University - Bashar Talafha, University of British Columbia - AbdelRahim Elmadany, University of British Columbia - Nagham Hamad, Birzeit University - Alaa Omer, Birzeit University

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Journal of Open Humanities Data: 2023 call for papers (second call, with a twist)
by Barbara McGillivray 09 Jun '23

09 Jun '23

Dear all, with apologies for cross-postings, I'm sharing again the 2023 call for papers of the Journal of Open Humanities Data. This time we've added an explicit mention of large language model prompts and prompt engineering strategies among the language resources of interest to the journal, plus a reminder that our Covid-19 special collection is still accepting submissions. We've also explicitly included Library Science and Media Studies in the scope. Kind regards, Barbara Call for Papers for 2023 The Journal of Open Humanities Data (JOHD)<https://openhumanitiesdata.metajnl.com/> features peer-reviewed publications describing humanities research objects with high potential for reuse. These might include curated resources like (annotated) linguistic corpora, ontologies, and lexicons, as well as databases, maps, atlases, linked data objects, and other data sets created with qualitative, quantitative, or computational methods, including large language model prompts and prompt engineering strategies. We are currently inviting submissions of two varieties: 1. Short data papers contain a concise description of a humanities research object with high reuse potential. These are short (1,000 words) highly structured narratives. A data paper does not replace a traditional research article, but rather complements it. 2. Full length research papers discuss and illustrate methods, challenges, and limitations in humanities research data creation, collection, management, access, processing, or analysis. These are intended to be longer narratives (3,000 - 5,000 words), which give authors the ability to contribute to a broader discussion regarding the creation of research objects or methods. Humanities subjects of interest to the JOHD include, but are not limited to Art History, Classics, History, Library Science, Linguistics, Literature, Media Studies, Modern Languages, Music and musicology, Philosophy, Religious Studies, etc. Research that crosses one or more of these traditional disciplinary boundaries is highly encouraged. Authors are encouraged to publish their data in recommended repositories<https://openhumanitiesdata.metajnl.com/about/#repo>. More information about the submission process<https://openhumanitiesdata.metajnl.com/about/submissions>, editorial policies<https://openhumanitiesdata.metajnl.com/about/editorialpolicies/> and archiving<https://openhumanitiesdata.metajnl.com/about/> is available on the journal’s web pages. Submissions are still open for our special collection, Humanities Data in the Time of COVID-19<https://openhumanitiesdata.metajnl.com/collections/humanities-data-in-the-t…>. This collection includes data papers that span various areas of enquiry about the COVID-19 pandemic through the lens of the Humanities. Data from this period have far-reaching and impactful reuse potential, so we encourage you to share your data by submitting to this growing collection. JOHD provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. We accept online submissions via our journal website. See Author Guidelines <https://openhumanitiesdata.metajnl.com/about/submissions/> for further information. Alternatively, please contact the editor<https://openhumanitiesdata.metajnl.com/contact/> if you are unsure as to whether your research is suitable for submission to the journal. Authors remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the Creative Commons<http://creativecommons.org/licenses/by/4.0/> licence agreement.

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Re: Visualizing graphs of words as nodes from text lines (not just adjacency pairs) ...
by Albretch Mueller 09 Jun '23

09 Jun '23

Thank you! igraph seems to be more Linux/Debian friendly. There is a "GNU R network analysis and visualization" package: r-cran-igraph So far I have found: https://cran.r-project.org/web/packages/igraph/ https://cran.r-project.org/web/packages/igraph/igraph.pdf and a bunch of videos/tutorials, which I will have a better opinion about after I watch them. I will keep publicly posting my experiences to help those running against the same kinds of problems. $ time apt-cache search gephi real 0m0.267s user 0m0.255s sys 0m0.012s $ time apt-cache search igraph karbon - vector graphics application for the Calligra Suite cl-graph - simple graph data structure and algorithms libdirgra-java - Java library providing a simple directed graph implementation libdirgra-java-doc - Documentation for dirgra fonts-bajaderka - Warsaw's sign painters styled font fonts-gfs-neohellenic - modern Greek font family with matching Latin fonts-gfs-solomos - ancient Greek oblique font fonts-isabella - Isabella free TrueType font fonts-sil-annapurna - smart font for languages using Devanagari script fonts-uralic - Truetype fonts for Cyrillic-based Uralic languages golang-github-guptarohit-asciigraph-dev - Make lightweight ASCII line graph in CLI apps with no other dependencies golang-github-jesseduffield-asciigraph-dev - Go package to make lightweight ASCII line graph without dependencies golang-github-steveyen-gtreap-dev - gtreap is an immutable treap implementation in the Go Language gpw - Trigraph Password Generator libigraph-dev - library for creating and manipulating graphs - development files libigraph-examples - library for creating and manipulating graphs - example files libigraph1 - library for creating and manipulating graphs libjgrapht0.6-java - mathematical graph theory library for Java libjgrapht0.8-java - mathematical graph theory library for Java libtext-password-pronounceable-perl - Perl module to generate pronounceable passwords liwc - Tools for manipulating C source code msort - utility for sorting records in complex ways libnauty2 - library for graph automorphisms -- library package libnauty2-dev - library for graph automorphisms -- development package nauty - library for graph automorphisms -- interface and tools nauty-doc - library for graph automorphisms -- user guide otp - Generator for One Time Pads or Passwords perl-tk - Perl module providing the Tk graphics library python3-igraph - High performance graph data structures and algorithms (Python 3) r-cran-graphlayouts - GNU R additional layout algorithms for network visualizations r-cran-gwidgets - gWidgets API for Toolkit-Independent, Interactive GUIs r-cran-igraph - GNU R network analysis and visualization r-cran-propclust - Propensity Clustering and Decomposition scalable-cyrfonts-tex - Scalable Cyrillic fonts for TeX texlive-pictures - TeX Live: Graphics, pictures, diagrams texlive-fonts-extra - TeX Live: Additional fonts texlive-latex-extra - TeX Live: LaTeX additional packages tran - transcribe between character scripts (alphabets) vis - Modern, legacy free, simple yet efficient vim-like editor real 0m0.303s user 0m0.283s sys 0m0.020s $ On 6/9/23, David Chartash <dchartas(a)ieee.org> wrote: > Hi Albretch, > I would start off with Gephi <https://gephi.org/> or try the R/C/Python... > package igraph <https://igraph.org/>. > Cheers, > > David > --- > Please forgive any spelling errors, sent from a poorly implemented software > keyer > > On Fri, Jun 9, 2023, 02:40 Albretch Mueller via Corpora < > corpora(a)list.elra.info> wrote: > >> I could imagine, as John Lennon used to sing, that "I am not the only >> one" in need of such an application. >> >> At times you get ten of thousand lines which you would like to >> quickly “visually parse” to gain a general sense of what you've got. >> Ideally, you should be able to play with it to select the records you >> need. >> >> Think for example, of the many links to texts you would get from >> archive.org (which also includes some metadata) or *.pub (each site >> using their own quirkiness) >> >> Based on some sort of GUI, you would see weighted terms (coloured or >> not based on a user's preference) with all other terms preceding (as >> some sort of tree-like structure confluent on that term) and following >> it ( ... branching off of it). >> >> Which kind of applications people use to do such thing? >> >> 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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Visualizing graphs of words as nodes from text lines (not just adjacency pairs) ...
by Albretch Mueller 09 Jun '23

09 Jun '23

I could imagine, as John Lennon used to sing, that "I am not the only one" in need of such an application. At times you get ten of thousand lines which you would like to quickly “visually parse” to gain a general sense of what you've got. Ideally, you should be able to play with it to select the records you need. Think for example, of the many links to texts you would get from archive.org (which also includes some metadata) or *.pub (each site using their own quirkiness) Based on some sort of GUI, you would see weighted terms (coloured or not based on a user's preference) with all other terms preceding (as some sort of tree-like structure confluent on that term) and following it ( ... branching off of it). Which kind of applications people use to do such thing? lbrtchx

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FInCausal 2023 Shared Task: Call for Participation (English & Spanish)
by FinCausal 2023 08 Jun '23

08 Jun '23

Call for Participation: *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*. The exact date is to be announced. Important Dates: - Call for participation and registration: 3rd June 2023 - Registration deadline: 28 June - Training set release: 29 June 2023 - Test set release: 5 September 2023 - Systems submission deadline: 15 September 2023 - Release of results: 20 September 2023 - Paper submission deadline: 20 October 2023 - Notification of acceptance: November 12, 2023 - Camera-ready of accepted papers: November 20, 2023 - FNP Workshop: December 2023 Workshop URL: https://wp.lancs.ac.uk/cfie/fincausal2023/ Registration Form: https://forms.gle/29E161a8RmMosBLU8. After completing the registration form, the practice set will be sent to participants. *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. *FinCausal Shared Task Organisers:* - Antonio Moreno-Sandoval (UAM, Spain) - Blanca Carbajo Coronado (UAM, Spain) - Doaa Samy (UCM, Spain) - Jordi Porta (UAM, Spain) - Dominique Mariko (Yseop, France) For any questions, please contact the organisers at *fincausal.2023(a)gmail.com <fincausal.2023(a)gmail.com>*

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Call for Participation in Shared Tasks (WANLP2023): The 1st Arabic Natural Language Processing Conference
by Salam Khalifa 08 Jun '23

08 Jun '23

*** Apologies for Cross-Posting *** We are pleased to announce five exciting shared tasks <https://wanlp2023.sigarab.org/shared-tasks> as part of the 1st Conference on Arabic NLP (WANLP2023 <https://wanlp2023.sigarab.org/>) - co-located with EMNLP 2023 <https://2023.emnlp.org/> in Singapore. Please refer to the tasks’ websites for more information on participation and internal deadlines. General shared tasks deadlines are at the end of this call. Shared Task 1: NADI 2023 Description: Dialect identification is the task of automatically detecting the source variety of a given text or speech segment. In addition to nuanced dialect identification at the country level, NADI 2022 offered a new subtask focused on country-level sentiment analysis. NADI 2023 continues this tradition of extending tasks beyond dialect identification. Namely, we propose a new open track subtask focused on machine translation (MT) in two directions (i) into Modern Standard Arabic (MSA) from five Arabic dialects and (ii) into any of the five dialects from MSA. Organizers: Muhammad Abdul-Mageed, Chiyu Zhang, El Moatez Billah Nagoudi, AbdelRahim Elmadany (The University of British Columbia, Canada), Houda Bouamor (Carnegie Mellon University, Qatar), and Nizar Habash (New York University Abu Dhabi). For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://nadi.dlnlp.ai/ –––––––––––––––––––––––––––––– Shared Task 2: ArAIEval - Persuasion Techniques and Disinformation Detection in Arabic Text Description: The ArAIEval shared tasks include two tasks: (i) persuasion techniques detection, and (ii) disinformation detection. Organizers: Firoj Alam, Hamdy Mubarak, Maram Hasanain, Wajdi Zaghouani, Giovanni Da San Martino, and Preslav Nakov. For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://araieval.gitlab.io/ –––––––––––––––––––––––––––––– Shared Task 3: Qur'an QA 2023 Description: This is a shared task of Arabic Reading Comprehension over the Holy Qur’an, aiming to trigger state-of-the-art question-answering and reading comprehension research on a book that is sacredly held by more than 1.8 billion people across the world. The shared task entails two subtasks: (A) Passage Retrieval (PR) task, and (B) Reading Comprehension (RC) task. Organizers: Tamer Elsayed, Rana Malhas, Watheq Mansour (Qatar University). For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://sites.google.com/view/quran-qa-2023 –––––––––––––––––––––––––––––– Shared Task 4: WojoodNER Description: Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood; a large and rich Arabic NER corpus. Organizers: Muhammad Abdul-Mageed, Mohammed Khalilia, Nagham Hamad, Bashar Talafha, AbdelRahim Elmadany, Alaa’ Omar, Mustafa Jarrar. For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://dlnlp.ai/st/wojood/ –––––––––––––––––––––––––––––– Shared Task 5: Arabic Reverse Dictionary Description: This shared task aims to address the Tip-of-Tongue (TOT) problem by developing a Reverse Dictionary (RD) system specifically for the Arabic language. Reverse dictionaries allow users to find words based on their meanings or definitions and can be useful for writers, crossword puzzle enthusiasts, non-native language learners, and anyone looking to expand their vocabulary. This shared task includes two subtasks: Arabic RD and Cross-lingual Reverse Dictionary (CLRD). Organizers: Rawan Al-Matham, Waad Alshammari, Abdulrahman AlOsaimy, Sarah Alhumoud, Afrah Altamimi, Abdullah Alfaifi. For more information, please visit the shared task’s website: https://samai.ksaa.gov.sa/sharedTask.html –––––––––––––––––––––––––––––– Important dates: - August 29, 2023: shared task 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”). The WANLP 2023 Publicity Chairs, Salam Khalifa and Amr Keleg -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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NLDB 2023 - Call for Participation
by Farid Meziane 08 Jun '23

08 Jun '23

NLDB 2023 28th International Conference on Natural Language & Information Systems 21-23 June 2023, University of Derby, United Kingdom https://www.derby.ac.uk/events/latest-events/nldb-2023/ The 28th International Conference on Natural Language & Information Systems will be held at the University of Derby, United Kingdom and will be a face to face event. This is a full three days event and the conference programme is now available . The University of Derby has a published policy regarding email and reserves the right to monitor email traffic. If you believe this was sent to you in error, please reply to the sender and let them know. Key University contacts: http://www.derby.ac.uk/its/contacts/

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CFP - Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP
by Horacio Saggion 08 Jun '23

08 Jun '23

Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP Jointly with the Recent Advances in Natural Language Processing Conference RANLP 2023 https://tsar-workshop.github.io/http://ranlp.org/ranlp2023/First Call for PapersImportant Dates Submission deadline: 10 July 2023 Notification of acceptance: 5 August 2023 Camera-ready papers due: 25 August 2023 Workshop: 7 or 8 September 2023 Web provides an abundance of knowledge and information that can reach large populations. However, the way in which a text is written (vocabulary, syntax, or text organization/structure), or presented, can make it inaccessible to many people, especially to non-native speakers, people with low literacy, and people with some type of cognitive or linguistic impairments. The results of Adult Literacy Survey (OECD, 2023) indicate that approximately 16.7% of the adult population (averaged over 24 highly-developed countries) requires lexical, 50% syntactic, and 89.4% conceptual simplification of everyday texts (Štajner, 2021). Research on automatic text simplification (TS), textual accessibility, and readability thus have the potential to improve social inclusion of marginalised populations. These related research areas have increasingly attracted more and more attention in the past ten years, evidenced by the growing number of publications in NLP conferences. While only about 300 articles in Google Scholar mentioned TS in 2010, this number has increased to about 600 in 2015 and is greater than 1000 in 2020 (Štajner, 2021). Recent research in automatic text simplification has mostly focused on proposing the use of methods derived from the deep learning paradigm (Glavaš and Štajner, 2015; Paetzold and Specia, 2016; Nisioi et al., 2017; Zhang and Lapata, 2017; Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021). However, there are many important aspects of the automatic text simplification that need the attention of our community: the design of appropriate evaluation metrics, the development of context-aware simplification solutions, the creation of appropriate language resources to support research and evaluation, the deployment of simplification in real environments for real users, the study of discourse factors in text simplification, the identification of factors affecting the readability of a text, etc. To overcome those issues, there is a need for collaboration of CL/NLP researchers, machine learning and deep learning researchers, UI/UX and Accessibility professionals, as well as public organisations representatives (Štajner, 2021). The proposed TSAR workshop builds upon the recent success of several workshops that covered a subset of our topics of interest, including the SEPLN 2021 Current Trends in Text Simplification (CTTS) and the SimpleText workshop at CLEF 2021, the TSAR-2022 at EMNLP 2022, the recent Special Issue on Text Simplification, Accessibility, and Readability at Frontiers in AI, as well as the birds-of-a-feather event on Text Simplification at NAACL 2021 (over 50 participants). The TSAR workshop aims to foster collaboration among all parties interested in making information more accessible to all people. We will discuss recent trends and developments in the area of automatic text simplification, text accessibility, automatic readability assessment, language resources and evaluation for text simplification, etc. Topics We invite contributions on the following topics (among others): - Lexical simplification; - Syntactic simplification; - Modular and end-to-end TS; - Sequence-to-sequence and zero-shot TS; - Controllable TS; - Text complexity assessment; - Complex word identification and lexical complexity prediction; - Corpora, lexical resources, and benchmarks for TS; - Evaluation of TS systems; - Domain specific TS (e.g. health, legal); - Other related topics (e.g. empirical and eye-tracking studies); - Assistive technologies for improving readability and comprehension including those going beyond text. Submissions We welcome two types of papers: long papers and short papers. Submissions should be made to: https://softconf.com/ranlp23/TSAR/ The papers should present novel research. The review will be double blind and thus all submissions should be anonymized. Format: Paper submissions must use the official RANLP 2023 Templates <http://ranlp.org/ranlp2023/index.php/submissions/>, which are available as an Overleaf <https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…> template and also downloadable directly (Latex <http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> and Word <http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx>). Authors may not modify these style files or 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. Long Papers: Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. 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. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and long papers presented as posters. 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. Some kinds of short papers include: a small, focused contribution; a negative result; an opinion piece; an interesting application nugget. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. 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. Short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and short papers presented as posters. Demo papers: should be no more than two (2) pages, including references, and should describe implemented systems related to the topics of interest of the workshop. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during TSAR 2023. -- Professor Horacio Saggion Head of the Large Scale Text Understanding Systems Lab Full Professor / Chair in Computer Science and Artificial Intelligence TALN / DTIC Deputy Director for Recruitment Universitat Pompeu Fabra [image: https://twitter.com/h_saggion] [image: https://www.linkedin.com/in/horacio-saggion-1749b916]

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Extended deadline: PhD on generation of Norwegian news texts at U. of Bergen
by Koenraad de Smedt 08 Jun '23

08 Jun '23

Deadline extended to June 30! The University of Bergen invites applications for a PhD position at MediaFutures: Research Centre for Responsible Media Technology & Innovation. The position will be on Norwegian Language Technology, in particular the generation and adaptation (including summarization) of Norwegian news texts. The methodology could include generative neural encoder-decoder architectures using large Norwegian language models. Announcement in Norwegian and English: https://www.jobbnorge.no/en/available-jobs/job/244992/phd-research-fellowsh…

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Professorship in Audiovisual Translation
by Ekaterina Lapshinova-Koltunski 08 Jun '23

08 Jun '23

The Institute of Translation Studies and Specialised Communication, Department of Language and Information Sciences, University of Hildesheim (Germany) (https://www.uni-hildesheim.de/fb3/institute/institut-fuer-uebersetzungswiss…) is seeking to fill a Professorship position (W2 professorship in German pay grade system) in the area of Audiovisual Translation. Duties include research, teaching, and administrative service. Research areas associated with the position include subtitling, synchronisation, voice-over-translation, audiodescription, revoicing, game localisation and further, see more details in the official announcement (in German): https://bewerbung.uni-hildesheim.de/jobposting/283575fabeae5ecb1ce64d38ef50… Application *deadline*: July 18 2023 -- Prof. Dr. Ekaterina Lapshinova-Koltunski Institut für Übersetzungswissenschaft und Fachkommunikation Fachbereich 3: Sprach und Informationswissenschaften Stiftung Universität Hildesheim Lübecker Straße 3 31141 Hildesheim +49 5121 883-30934

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ESAO Webinar n.08 on Monday, June 12 –- Special Session with James Hampton (London, UK) -- Call for Participation
by Cassia 08 Jun '23

08 Jun '23

== ESAO Webinar n.08, Special Session in June 2023 == Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike (no registration needed). The 8th ESAO webinar will be held as special session on Monday, June 12, 2023 at 14:00 UTC, for up to 75 min (regional times: 10:00 EDT / 16:00 CEST / 16:00 SAST [2]) via Zoom (full connection details at the end of this message) https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Program & Speaker Info ---------------------- 10:00-11:15 EDT / 14:00-15:15 UTC / 16:00-17:15 / 16:00-17:15 SAST (50 min talk + discussion) Title: The psychology and philosophy of concept combination Speaker: James Hampton (City, University of London, UK) [3] SPECIAL SESSION of ESAO: - invited talk in connection with the PhD defense of Guendalina Rhigetti (Free University of Bozen-Bolzano, Italy) - actually hybrid, onsite in Bozen-Bolzano and online as ESAO webinar - format: scientific talk Abstract: I will review a wider range of research into the problem of how prototype concepts combine. When nouns are placed in a noun-noun compound, (e.g. CRIMINAL LAWYER) different strategies can be used in English to arrive at a semantic interpretation. I will discuss some of the processes involved, and the effects of stress. The second part of my talk will examine how people interpret logical connectives when applied to vague semantic categories such as Vehicle or Fruit. Finally I will present some new data looking at how people judge a conjunction of two vague predicates, as in "These sunglasses are large and dark" where both size and shade of a set of sunglasses are distributed around a vague boundary. Short Speaker CV: Educated at Cambridge and University College London. Professor of Psychology, City, University of London since 1977. Visiting appointments at Stanford, Cornell, Chicago (as a Fulbright Fellow), Yale, NYU, Ecole Normale Superieure in Paris, and Utrecht. Over 100 publications on the psychology and philosophy of concepts. Series Description ------------------ The IAOA [4] has created ESAO [1], an educational effort directed towards topics of Applied Ontology, primarily established basics and foundations. The series is inspired by the Interdisciplinary Schools on Applied Ontology (ISAO) [5] (for the next ISAO edition during July 10-14, 2023, please see [6] - ! EARLY REGISTRATION for ISAO 2023 closes on June 11 (EDT) !). ESAO is complementary in format and its overall approach. The goal is to provide a combination of an archive of educational material (e.g., short video lectures) and a series of webinars for presenting and discussing that material. Organization ------------ Members of the Education Technical Committee of IAOA [6] and among those primarily (in alphabetical order): * Lucía Gómez Álvarez * Frank Loebe * Sandra Lovrenčić * Cassia Trojahn (Chair) * Laure Vieu Contact E-Mail: info(a)iaoa.org [1] Educational Series on Applied Ontology https://wiki.iaoa.org/index.php/Edu:ESAO [2] Session time locally and in further places https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230510T1400 [3] workpage of James Hampton https://www.city.ac.uk/about/people/academics/james-hampton [4] IAOA website http://iaoa.org/ [5] ISAO History page https://iaoa.org/index.php/isao-history/ [6] ISAO 2023 website https://fois2023.griis.ca/isao-2023/ [7] Entry page of the IAOA Education Technical Committee https://iaoa.org/index.php/faq/education-committee/ Connection Details ------------------ Topic: ESAO 8th Session Topic: 8th ESAO Time: June 12, 2023 04:00 PM Paris Join Zoom Meeting https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by SIP • 94745672720(a)zoomcrc.com --- Join by H.323 • 162.255.37.11 (US West) • 162.255.36.11 (US East) • 221.122.88.195 (China) • 115.114.131.7 (India Mumbai) • 115.114.115.7 (India Hyderabad) • 213.19.144.110 (Amsterdam Netherlands) • 213.244.140.110 (Germany) • 103.122.166.55 (Australia Sydney) • 103.122.167.55 (Australia Melbourne) • 209.9.211.110 (Hong Kong SAR) • 149.137.40.110 (Singapore) • 64.211.144.160 (Brazil) • 69.174.57.160 (Canada Toronto) • 65.39.152.160 (Canada Vancouver) • 207.226.132.110 (Japan Tokyo) • 149.137.24.110 (Japan Osaka) Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by Skype for Business https://univ-tlse2.zoom.us/skype/94745672720

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Job Offer: Doctoral Researcher (m/f/d) on Computational Linguistics, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Research Associate (m/f/d)* *in the field of Computational Linguistics* The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the area of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13, 50%) for an initial period of 3 years. The successful candidate (m/f/d) will contribute to research and teaching activities within the group and in the wider context of the University of Augsburg. They are encouraged to participate in grant proposals, research collaborations and scientific networks of the group, and to develop their independent academic profile in this process. The successful candidate (m/f/d) will have the opportunity to obtain a PhD in computational linguistics. The first year of the contract will be devoted to find a suitable topic taylored to their individual interests and skills. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Contribute to the development of interoperable tools and resources for NLP, corpus linguistics and digital humanities. *Your profile / Our requirements:* - Completed Master’s degree in computational linguistics, linguistics, digital humanities, linguistics, data science or a related field. - Demonstrated expertise in both technological (computational) and theoretical (linguistic) aspects of computational linguistics / language technology. - Background in one or more of the following technologies: - machine learning for NLP. - knowledge graphs, RDF, web technologies - morphological, syntactic or semantic parsing - digital humanities or corpus linguistics - Research interest in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - computational lexicography - NLP for low-resource or historical languages - Familiarity with machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. Previous publications at major NLP, Semantic Web or DH conferences will be considered a plus. *Your abilities:* - Good programming skills (e.g., Python, Java) or the commitment to develop them. - Ability for self-initiated working and structured organization of work. - Good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Ability to present complex scientific and technical matters in English or German. Commitment to develop such skills for both languages. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work in an interdisciplinary team - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is primarily tailored towards PhD candidates (m/f/d) but note that there is a parallel call of similar scope for Postdoc applicants (m/f/d). - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13), in part-time (50%) Applications should be transmitted by *June, 20th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/div) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV as well as diplomas (Bachelor/Master). We are happy to receive additional documents highlighting your scientific style (e.g., in the form of a master thesis or previous publications). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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Job Offer: Post-Doctoral Researcher (m/f/d) on Natural Language Processing (NLP) and/or Semantic Technologies, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Post-doctoral researcher (m/f/d)* *in the field of Natural Language Processing and/or Semantic Technologies * The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. A specific research focus is the exploration of Linked Data technologies in this context. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the areas of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Akademische/r Rat/Rätin (m/f/d) Bes.Gr. A13, or Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13) for an initial period of 3 years, extensible by another 3 years. The successful candidate (m/f/d) will contribute to the strategic development of the group. Together with Prof. Chiarcos, they will be responsible for the coordination of research and teaching activities within the group and in the wider context of the University of Augsburg. They are expected to develop and to contribute to grant proposals, research collaborations and scientific networks of the group, and they are encouraged to develop their independent academic profile in this process and by developing own research proposals. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Develop an independent research profile and support or develop proposals for third-party funding. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Work towards a habilitation thesis or equivalent (“second book”). *Your profile / Our requirements:* - Completed doctoral thesis in computational linguistics, linguistics, computer science, data science or a related field. - Research focus in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - NLP for low-resource or historical languages - Linguistic Linked Open Data or RDF technologies - Infrastructures and workflows for NLP or digital humanities - Strong scientific track record, including publications in the ACL Anthology and at either major NLP conferences, major Semantic Web conferences (e.g., ISWC) or venues that address both communities (e.g., LDK, LDL) - Solid background in machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. *Your abilities:* - Strong competences in conceptualizing, conducting and evaluating NLP or DH research in a collaborative manner. - Excellent ability for self-initiated working and structured organization of work. - Very good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Strong ability to present complex scientific and technical matters fluently in English. Ability or commitment to develop such skills for German, as well. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work an interdisciplinary team. - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is intended full-time, but can also be filled part-time, provided that job-sharing ensures that the duties can be performed full-time. - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13) or as a civil servant (Akademische/r Rat/Rätin (m/f/d), Bes.Gr. A13), dependent on the assignment of tasks and qualifications Applications should be transmitted by *June, 29th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/d) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV, list of publications as well as academic certificates. We are happy to receive additional documents, if available (e.g., up to three selected publications, a list of software repositories where you contributed, recommendation letters, etc.). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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Job openings: PhD post in Formal Linguistics
by Jonathan Ginzburg 07 Jun '23

07 Jun '23

*Job openings: PhD studentship in Formal Linguistics*Duration : 36 months Beginning : Fall 2023 (ideally October 2023) Place : ATILF, From syntax to discourse axis (Nancy) and Laboratoire de Linguistique Formelle (Paris) Salary (net) : approx. 1750 euros per month *Thesis supervisors* : Mathilde Dargnat (Université de Lorraine and ATILF-CNRS, http://mathilde.dargnat.free.fr/), Jonathan Ginzburg (Labratoire de Linguistique Formelle, Université Paris-Cité, https://sites.google.com/site/jonathanginzburgswebsite/home) *Prerequisites : * Ÿ —Masters in Linguistics, Cognitive Science, or NLP. Ÿ —Excellent command of French. Ÿ —A solid background in formal or/and computational semantics would be advantageous. *To Apply: * 1. CV of at most 2 pages, 2. Transcripts for Masters and BSc/BA degrees 3. A letter of motivation . 4. The Masters thesis (or a draft thereof) and/or any submitted/accepted publications 5. Contact details for one or two referees. Ÿ Applications should be sent to: mathilde.dargnat at univ-lorraine.fr <mathilde.dargnat(a)univ-lorraine.fr>and yonatan.ginzburg at u-paris.fr <yonatan.ginzburg(a)u-paris.fr> Ÿ Deadline: *25 June, 2023* Ÿ *CODIM project short description* https://www.codim-project.org/ The CODIM project is funded by the A(gence) N(ationale) de la R(echerche). It focuses on two important linguistic resources that contribute to structuring monologues or conversations in human languages : D(iscourse) M(arkers) (therefore/donc, well/ben,bon etc. in English/French) and prosody (in particular, intonation). It will evaluate their status with respect to two major views on how complex meanings emerge: compositionality (the possibility of combining meaningful expressions into more complex meaningful expressions) and pattern- or construction-based approaches (the idea that language users exploit partly ‘frozen’ strings of words). We will compare the semantic and prosodic properties of simple and complex French DM (e.g. ah + bon) found in corpora for written and spoken French, using a variety of technical tools for DM identification (category-driven text mining), clustering (statistics and Machine Learning) and research in formal semantics and prosody (duration and intensity measures, contour representation). The project aims at fostering collaboration between linguists and computer scientists. Dissertation Topic: French discourse markers and compositionality The dissertation will focus on providing a semantic and pragmatic characterization of a class of DM combinations. This involves issues including the following: 1. When the DMs are in a markedly frequent combination and are intuitively close, accounting for the fact that their combination is not perceived to be redundant (e.g., donc du coup, alors donc, mais pourtant, mais quand même, et alors, donc voilà,). 2. When the DMs are intuitively quite distinctive, are they just complementary, which suggests that they introduce unconnected discourse relations/speaker manifestations? Or is another type of analysis needed? 3. Is the combination compositional? Addressing this question requires discussing and possibly elaborating on existing compositional techniques. For instance, current formal approaches in semantics are functional in an elementary mathematical sense: functions apply to arguments (which can themselves be functions) to deliver ‘interpretations’. Can one reduce the observed combinations to this type of mechanism? Also, in cases where such a reduction is possible, to what extent can it predict or motivate the strength of association between the DMs which cluster into the combination? Why is this particular association more frequent than others? Does it correspond, for example, to specific discourse moves which play a prominent role in interactions? 4. Are there cases of repulsion (DMs which do not occur together)? How come? Selected References Cooper, R. From Perception to Communication: A Theory of Types for Action and Meaning. Oxford University Press, 2023. Couper-Kuhlen, E. & Kortmann, B. (Eds.). 2000. Cause-Condition-Concession-Contrast. Cognitive and Discourse Perspectives. Berlin: De Gruyter Mouton. Crible, L. & Degand, L. 2019. Domains and Functions : A Two-Dimensional Account of Discourse Markers. Discours 24 (online), 35 p. Crible, L. & Degand, L. 2021. Co-occurrence and ordering of discourse markers in sequences: A multifactorial study in spoken French. Journal of Pragmatics 177, 18-28. Dargnat, M. 2020. Subjectivité et projection : le cas des particules discursives. In Actes du 7e Congrès Mondial de Linguistique Française, Montpellier, SHS Web of Conference 778, IDP Sciences. Dargnat, M. 2022. “Mais enfin”: construction et association. Langages 225, 49-63. Degand, L., Cornillie, B. & P. Pietrandrea (Eds.). 2013. Discourse Markers and Modal Particles. Categorization and Description. Amsterdam: Benjamins. Dostie G. 2004. Pragmaticalisation et marqueurs discursifs. Analyse sémantique et traitement lexicographique. Liège : De Boeck/Duculot. Ginzburg, J. (2012). The Interactive Stance. Meaning for Conversation. Oxford: Oxford University Press. Tian, Y. & Ginzburg, J. 2016. No I am: What are you saying “no” to? In Proceedings of Sinn und Bedeutung 21, 1241-1252. Haselow, A. 2019. Discourse marker sequences: Insights into the serial order of communicative tasks in real-time turn production. Journal of Pragmatics 146, 1-18. Haselow, A. & S. Hancil (Eds.). 2021. Studies at the Grammar-Discourse Interface. Discourse markers and discourse-related grammatical phenomena. Amsterdam: Benjamins. Heine, B., Kaltenböck, G., Kuteva, T. & H. Long (Eds.). 2021. The Rise of Discourse Markers. Cambridge: Cambridge University Press. Mosegaard Hansen, M.-B. 1998. The Function of Discourse Particles. Amsterdam: Benjamins.

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ICMI 2023 Call for Blue Sky Papers
by Gualtiero Volpe 07 Jun '23

07 Jun '23

=========================================== ACM ICMI 2023 2ND CALL FOR BLUE SKY PAPERS =========================================== 9-13 October 2023, Paris - France https://icmi.acm.org/2023/ =========================================== ICMI 2023 is pleased to partner with the Computing Community Consortium (CCC) to continue the Blue Sky Paper track, initialized in 2021 and continued in 2022, that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative directions. They may challenge existing assumptions and methodologies or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, argue rigorously, and present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). The review of the submissions will be handled by the Blue Sky Paper Chairs: Carlos Busso (University of Texas At Dallas), Philippe Palanque (University Toulouse III, France), and Björn Schuller (University of Augsburg, Germany). Three winners will be selected for presentation in the Blue Sky Paper track and publication in the conference proceedings. The CCC will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place winners in the form of travel grants. In addition, they will further distribute and publicize the three Blue Sky award papers. Important Dates --------------- Paper Submission June 17th, 2023 Paper notification July 14th, 2023 Camera-ready paper August 14th, 2023 Presenting at main conference October 9-13, 2023

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CALL FOR REGISTRATION: International Conference ‘Human-Informed Translation and Interpreting Technology’ (HiT-IT 2023)
by amalhaddad＠ugr.es 07 Jun '23

07 Jun '23

International Conference 'Human-Informed Translation and Interpreting Technology' (HiT-IT 2023) CALL FOR REGISTRATION The International Conference 'Human-Informed Translation and Interpreting Technology' invites registrations for its 2023 edition which will take place in Naples, Italy on 7, 8 and July 2023 with pre-conference tutorials scheduled on 6 July 2023 (http://hit-it-conference.org/home/). The deadline for early bird registration is 20 June 2023. The list of accepted papers is now available on the conference website: http://hit-it-conference.org/accepted-papers/ Updated information about the conference keynote speakers and their talks is available on: http://hit-it-conference.org/invited-speakers/

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CFP: 16th BUCC Workshop with Shared Task on Terminology Extraction at RANLP 2023
by Reinhard Rapp 07 Jun '23

07 Jun '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 or 8, 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 ************************************************************** 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 18, 2023: Paper submission deadline July 31, 2021: Notification of acceptance August 25, 2021: Camera ready final papers September 7 or 8, 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

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SemDial 2023 - MariLogue: Final call for papers
by Andy Lücking 07 Jun '23

07 Jun '23

* Apologies for cross-posting * Call for papers: SemDial 2023 Submissions date: June 16th, 2023 Submissions website: https://easychair.org/conferences/?conf=semdial2023marilogue # CALL FOR PAPERS SemDial 2023 -- MariLogue The 27th Workshop on the Semantics and Pragmatics of Dialogue 16--17 August, University of Maribor, Slovenia https://mezzanine.um.si/en/conference/semdial-2023-marilogue/ MariLogue will be the 27th edition of the SemDial workshop series, which aims to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. We welcome submissions with formal, computational and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorisation of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submission to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX (https://2023.aclweb.org/downloads/acl2023.zip) or Word (https://2023.aclweb.org/downloads/acl2023.docx) templates provided for ACL 2023 submissions. The LaTeX template is readily available on Overleaf (https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…). Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2023 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site (https://easychair.org/conferences/?conf=semdial2023marilogue). # IMPORTANT DATES: Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). * Long paper submissions due: June 16th, 2023 * Notification: July 14th, 2023 * Short paper submissions due: July 21st, 2023 * Final versions due: August 4th, 2023 * Registration Deadline for presenters/refund deadline: August 4th, 2023 * MariLogue Conference: August 16th--17th, 2023

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Call for Shared Task Participation: Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

CASE-2023 Shared Task - Task 2: Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict ================================================ The unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis of socio political phenomena: Armed conflicts, political movements, fights for economic and social rights, and various related socio-political happenings are reported in news articles and social media posts and recorded in curated databases. On the other hand, automatic event detection from texts and event geocoding has long been a challenge for the natural language processing (NLP) community. It requires sophisticated methods and resources, such as Machine Learning models, linguistic rules and dictionaries, geographic gazetteers. Task definition The task Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict is being held as a sub-task of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023). The task will use data from the Russo-Ukrainian Conflict to test the capabilities of event detection systems to extract, geocode and de-duplicate armed clashes in news and social media postsл Evaluation will be based on the correlation between the spatio-temporal distribution and number of the extracted events and those which are in the ground truth data set. We invite contributions from researchers in NLP, ML, Deep Learning, and AI. The call is directed also towards socio-political scientists, researchers in conflict analysis and forecasting, peace studies, and computational social science. All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. For more information on the workshop, please visit the Workshop website https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> and the conference website https://ranlp.org/ranlp2023/. ================================================ 1. Data Gold Standard and Text Input Data for the participant systems for the time range 24.02.2022-24.08.2022 has been prepared and will be shared with the applicants on the Task website. 1.1 Training Data No training data are provided for this Task. The data utilized for CASE 2023 Task 1, which is described in Hürriyetoğlu, A. et al. (2022, 2020b), can be used for training systems for this task (Task 2). Additionally data can be used to build systems/models that can detect protest events in tweets and news articles. 1.2 Input Data The participant systems will be evaluated on raw data collections including Telegram messages, the New York Times and Ukrainian-Russian official news channels. Namely, the data collections comprise: • English language social media massage and news corpus comprising. 48.007 Telegram Messages and The New York Times News about Ukraine. • Ukrainian language social media collection comprising 102.135 Telegram Messages and Ukraine News Agency News. • Russian language social media collection comprising 8.534 Telegram Message and Russian News Agency News Further details on the text collections and sampling methods are provided in the folders news and Social Media of the github repo for the Task ( https://github.com/zavavan/case2023_task2). 1.3 Gold Standard Data The Russo-Ukrainian Conflict ground truth data primarily consists of data coming from the Armed Conflict Location & Event Data Project (ACLED). We will be adding alternative ground-truth datasets in order to prevent the bias that may be introduced by using a single definition and interpretation of an event. Full details on the manually curated data used as Gold Standard for the correlation analysis will be disclosed at the end of the evaluation period. Please check documentation on the folder gold_standard of the Task github repo. ================================================ 1. Evaluation The systems which participate in this shared task will be required to detect news articles and Telegram posts which contain description of ongoing armed clashes. The time and place of each armed clash should be detected at date level (regarding the time) and precise geographic coordinates (latitude and longitude). The systems should ideally extract event times, based on multiple text reports. In order to evaluate the ability of automatic event-coders to reproduce the gold standard armed clash event dataset, we adapt two correlation methods originally used in micro-level analysis of political violence by Hammond and Weidmann (2014), based on aggregation of event counts uniform grid geographical cells and 1-day time spans and apply a number of standard correlation coefficients and error measures. For each of the input text corpora in1.2, each participant may submit up to 3 different system responses. Each system response will consist of a csv file with the following naming pattern: “submission.<team-name>.<corpus>.<response-number>.csv” where <corpus> is either “social_media” or “news”. For instance: “submission.MyTeam.news.3.csv” for the 3rd submission of team “MyTeam” on the news corpus. Each system response file will have one line per event, where each line will have the following format: <id>,<City>,<Region>,<Country>,<Date> where <id> is a numerical event identifier, <City>,<Region>,<Country> are canonical English names of the City,State/Region and Country, respectively, of the detected event location. While only the <country> attribute is mandatory, systems are expected to assign a description of the event location at the finest grained level possible, as otherwise geographical coordinate conversion may penalize the correlation score on geographical cell aggregation. <Date> is the assigned date of the event in the format YYYY-MM-DD. A sample system response file line: 0,Kharkiv,Kharkiv Oblast,Ukraine,2022-05-02 A sample system output file can be downloaded from the Task repo at: https://github.com/zavavan/case2023_task2/blob/main/submission.myteam.news.… Important Dates (AoE time) ================================================ It is optional to use Task 1 systems. Participants may also use their own systems, which are developed independently of Task 1. Task 1 Training data available: May 1, 2023 Task 1 Test data available: May 15, 2023 Task 1 Evaluation period ends: June 30, 2023 Task 2 Sample Text archive is available: May 22, 2023 Task 2 Text archive for evaluation is available: July 1, 2023 Task 2 Evaluation period starts: July 1, 2023 Task 2 Evaluation period ends: July 24 System Description Paper submissions due: July 31, 2023 Notification to authors after review: August 7, 2023 Camera ready: August 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 Organization ================================================ - Hristo Tanev (Joint Research Centre (JRC), European Commission, Italy) - Onur Uca, Sociology (Sociology, Mersin University, Turkey) - Vanni Zavarella (University of Cagliari, Italy) - Ali Hürriyetoğlu (KNAW Humanities Cluster DHLab, the Netherlands) Please contact the organizers at hristo.tanev(a)ec.europa.eu or onuruca(a)mersin.edu.tr for your questions. 5.References Jesse Hammond and Nils B Weidmann. Using machine-coded event data for the micro-level study of political violence. Research & Politics, 1(2):2053168014539924, 2014. Hürriyetoğlu, A., Mutlu, O., Duruşan, F., Uca, O,. Gürel, A.,S., Radford, B., Dai, Y., Hettiarachchi, H., Stoehr, N., Nomoto, T., Slavcheva, M., Vargas, F., Javid, A., Beyhan, F., Yörük, E. (2022). Extended Multilingual Protest News Detection Shared Task1,CASE2021 and 2022. arXiv preprint arXiv:2211.11360. Url: https://arxiv.org/abs/2211.11360 Hürriyetoğlu, A., Yörük, E., Yüret, D., Mutlu, O., Yoltar, Ç., Duruşan, F., & Gürel, B. (2020b). Cross-context news corpus for protest events related knowledge base construction. arXiv preprint arXiv:2008.00351. In Automated Knowledge Base Construction (AKBC). URL: https://www.akbc.ws/2020/papers/7NZkNhLCjp

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Fwd: Call for Shared Task Participation: Event Causality Identification with Causal News Corpus at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

*Competition Website: * https://codalab.lisn.upsaclay.fr/competitions/11784 *FIRST CALL FOR PARTICIPATION* *CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus* *================================================* We invite you to participate in the CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus. The task is being held as part of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023). All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. Workshop Website: https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> *Motivation* *================================================* Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested to study event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,767 event sentences, extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect and Signal spans. Our subtasks work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. *Task Overview* *================================================* We focused on two subtasks relevant to Event Causality Identification: - *Subtask 1: Causal Event Classification – *Does an event sentence contain any cause-effect meaning? - *Subtask 2: Cause-Effect-Signal Span Detection – *Which consecutive spans correspond to cause, effect or signal per causal sentence? - *Subtask 2.1: Cause-Effect Span Detection –* This subtask identifies the spans corresponding to cause and effect per sentence. - *Subtask 2.2: Signal Span Detection –* This subtask identifies the spans corresponding to the signal, or causal connective, per cause and effect relation. Participants may design solutions that work on a single, multiple or all subtasks concurrently. Participants are also allowed to combine Subtask 1 and 2 annotations for either task. However, the target labels of development and test sets should not be introduced during training in their set up in any way (E.g. even for data augmentation). This is the second iteration of this shared task. The leaderboard from last year is available at https://codalab.lisn.upsaclay.fr/competitions/2299. There are changes for both Subtask 1 and 2 data: - Added more data. Also revised annotations from previous launch - Changed traditional P, R, F1 calculations to use FairEval calculations instead *Data Content* *================================================* Our work extends a prior socio-political news corpus to annotate if event-containing sentences have causal relations or not. Our data sizes and splits are described as follows: - *Subtask 1: Causal Event Classification --* 869 news documents and 3,767 English sentences were annotated with labels on whether it contains causal relations or not. The current data splits are: 3,075 training, 340 development, 352 test. - *Subtask 2: Cause-Effect-Signal Span Detection – *Positive causal sentences from Subtask 1 were retained and annotated with Cause-Effect-Signal spans. We annotated 1,982 sentences with 2,754 causal relations. There can be multiple relations per sentence. The data splits for causal relations are: 2,257 training, 249 development, 248 test. Task Repository:* https://github.com/tanfiona/CausalNewsCorpus <https://github.com/tanfiona/CausalNewsCorpus>* Codalab Site: https://codalab.lisn.upsaclay.fr/competitions/11784 *Important Dates* *================================================* Training & Validation data available: May 01, 2023 Test data available: Jun 15, 2023 Test start: Jun 15, 2023 Test end: Jun 30, 2023 System Description Paper submissions due: Jul 10, 2023 Notification to authors after review: Aug 05, 2023 Camera ready: Aug 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 *Organization* *================================================* - Fiona Anting Tan, Institute of Data Science/ National University of Singapore, Singapore, tan.f(a)u.nus.edu - Ali Hürriyetoğlu, Koc University, Turkey, ahurriyetoglu(a)ku.edu.tr - Tommaso Caselli, Rijksuniversiteit Groningen, Netherlands, t.caselli(a)rug.nl - Nelleke Oostdijk, Radboud University, nelleke.oostdijk(a)ru.nl - Tadashi Nomoto, National Institute of Japanese Literature, Japan, nomoto(a)acm.org - Onur Uca, Mersin University, onuruca(a)mersin.edu.tr - Iqra Ameer, Centro de Investigación en Computación/ Instituto Politécnico Nacional, Mexico, iqra(a)nlp.cic.ipn.mx - Hansi Hettiarachchi, Birmingham City University, United Kingdom, hansi.hettiarachchi(a)mail.bcu.ac.uk - Farhana Ferdousi Liza, University of East Anglia, United Kingdom, f.liza(a)uea.ac.uk - Tiancheng Hu, ETH Zürich, Switzerland, tianhu(a)ethz.ch Please contact the organizer at tan.f(a)u.nus.edu with your title starting with “CNC ST”, or post questions at the Forum page in Codalab. *** You are receiving this email because you took part in this competition last year. ***

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Call for Workshop Papers and Shared Task Participation: Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2023/ Paper submission deadline: 10 July 2023 Paper acceptance notification: 5 August 2023 Paper camera-ready: 25 August 2023 Workshop dates: 7-8 September 2023 Dates and deadlines for the shared task are below. Softconf page of the workshop: https://softconf.com/ranlp23/CASE/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** Please check the workshop page and Github repositories of the respective task for additional details. Task 1 - Multilingual protest news detection: The performance of an automated system depends on the target event type as it may be broad or potentially the event trigger(s) can be ambiguous. The context of the trigger occurrence may need to be handled as well. For instance, the ‘protest’ event type may be synonymous with ‘demonstration’ or not in a specific context. Moreover, hypothetical cases such as future protest plans may need to be excluded from the results. Finally, the relevance of a protest depends on the actors as in a contentious political event only citizen-led events are in the scope. This challenge becomes even harder in a cross-lingual and zero-shot setting in case training data are not available in new languages. We tackle the task in four steps and hope state-of-the-art approaches will yield optimal results. Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com) Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 2 - Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict: There is a mismatch between the event information collected between automated and manual approaches. We aim at identifying similarities and differences between the results of these paradigms for creating event datasets. The participants of Task 1 will be invited to run the systems they will develop to tackle Task 1 on a text archive. Participation in Task 1 is not a precondition to participate in Task 2. Contact person: Hristo Tanev (htanev(a)gmail.com) and Onur Uca ( onuruca(a)mersin.edu.tr) Github: https://github.com/zavavan/case2023_task2 Task 3 - Event causality identification: Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested in studying event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,767 event sentences, extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect and Signal spans. Our subtasks work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu) Github: https://github.com/tanfiona/CausalNewsCorpus Task 4 - Multimodal Hate Speech Event Detection: Hate speech detection is one of the most important aspects of event identification during political events like invasions. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. Since multimodal content is widely prevalent across the internet, the detection of hate speech in text-embedded images is very important. Given a text-embedded image, this task aims to automatically identify the hate speech and its targets. This task will have two subtasks. Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu) Github: https://github.com/therealthapa/case2023_task4 **** Deadlines for the Shared tasks **** ** Task 1, 3, 4: Training & Validation data available: May 1, 2023 Test data available: Jun 15, 2023 Test start: Jun 15, 2023 Test end: Jun 30, 2023 System Description Paper submissions due: Jul 10, 2023 Notification to authors after review: Aug 5, 2023 Camera ready: Aug 25, 2023 ** Task 2: Sample Text archive is available: May 22, 2023 Text archive for evaluation is available: July 1, 2023 Evaluation period starts: July 1, 2023 Evaluation period ends: July 24, 2023 System Description Paper submissions due: July 31, 2023 Notification to authors after review: August 7, 2023 Camera ready: August 25, 2023 *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The social science keynote will be delivered by Erdem Yörük with the title “Using Automated Text Processing to Understand Social Movements and Human Behaviour” and the computational ones will be delivered by Ruslan Mitkov and Kiril Simov. Please see the workshop webpage (https://emw.ku.edu.tr/case-2023/) for additional details.

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Faculty Position - Translation Studies and English language
by Gemma Boleda 06 Jun '23

06 Jun '23

The Department of Translation and Language Sciences <https://www.upf.edu/en/dtcl> of Universitat Pompeu Fabra <https://www.upf.edu/> (Barcelona) is seeking to fill a tenure-track *faculty position <https://apply.interfolio.com/125314> *in the area of *Translation Studies and English Language*. Duties include research and knowledge transfer, teaching, and administrative service. Research areas associated with the position: - Technological applications and innovation for language learning and translator training, including but not limited to resources and applications for classroom use, corpora resources, writing assistants, intelligent tutoring systems, digital dictionaries and/or educational data mining; - Communicative skills for transferring research outcomes to the academic community as well as society at large. Application *deadline*: July 8 2023 More information: https://apply.interfolio.com/125314 Gemma Boleda Universitat Pompeu Fabra / ICREA https://gboleda.github.io

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CLIN33 final call for abstracts, deadline June 15th
by Jens Lemmens 06 Jun '23

06 Jun '23

Dear colleague, This is the final call for abstracts for CLIN33, which will be held in Antwerp (Belgium), September 22nd 2023. We accept abstracts describing work on any aspect of computational linguistics / natural language processing (finished or in progress). Submissions must be written in English and submitted through this web form<https://docs.google.com/forms/d/e/1FAIpQLSf912QGdJYjgsuSRqqJ6uaLqYLhVXtW-ZP…> by June 15th 2023. Notifications of acceptance will be sent out on July 15th 2023 and authors of accepted abstracts will have the opportunity to submit a full paper after the conference to CLIN Journal. Those who are interested in participating in this year's shared task can find more information on the dedicated shared task website<https://sites.google.com/view/shared-task-clin33/home>. Registrations<https://forms.uantwerpen.be/en/faclw/registration-clin33/> for the event are open and have to be completed before September 5th 2023. For more info, please visit the CLIN33 website: https://clin33.uantwerpen.be/ We are looking forward to welcoming you! The CLIN33 organizers CLiPS University of Antwerp

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Lectures on Language Technology and Society
by Christian Hardmeier 06 Jun '23

06 Jun '23

We are delighted to invite you to an afternoon of public lectures on language technology and its interaction with society. The lectures will take place in Auditorium 4 at the IT University of Copenhagen on 13 June 2023, from 14:30 to 16:45 (UTC+2). Attendance is free for anyone interested. The lectures will also be streamed on Zoom. For remote participation, please register here: https://itucph.zoom.us/meeting/register/u5Utf-Chrz0sHNYzd76DD9WjJpOU0CckVsMb Speakers and titles: - Luca Maria Aiello, IT University of Copenhagen: The Language of Coordination - Shashi Narayan, Google London: Introducing Text-blueprint: Conditional generation with question-answering plans - Anne Lauscher, University of Hamburg: Ethical conversational AI - Searching for the truth? Abstracts and further information can be found here: https://christianhardmeier.rax.ch/workshop/langtech-society-2023/ -- Christian Hardmeier, Associate Professor – https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science

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CoCo4MT Shared Task: First Call for Participation
by Katharina Kann 06 Jun '23

06 Jun '23

CoCo4MT Shared Task: First Call for Participation We are excited to introduce a new shared task for this year’s CoCo4MT workshop! Our aim is to encourage and facilitate research on corpus construction for low-resource machine translation. Corpus creation for machine translation is typically constrained by the cost and availability of human translators. When a new dataset needs to be created for a low-resource language or a specialized domain, the annotation budget should be used efficiently and any sentences chosen for translation should be of high quality and as useful for machine translation system training as possible. In this shared task, we ask participants to come up with ways in which such examples can be identified for a target language without any existing data. Specifically, given a parallel corpus between high-resource languages, the goal is to choose a good subset of the high-resource corpus to be translated into the low-resource language, in order to obtain a good training set for a machine translation system. The shared task winner will be the team whose instances result in the best final system after training. Detailed information: https://sites.google.com/view/coco4mt/shared-task Registration: https://forms.gle/jfKSPQMKEmaaXFHy5 Important Dates - May 19 2023: Release of train, dev and test data - May 30 2023: Release of baselines - July 12, 2023: Deadline to submit results - July 20, 2023: System description papers due Organizers (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 -- Dr. Katharina Kann Assistant Professor of Computer Science University of Colorado Boulder Personal page: https://kelina.github.io Group page: https://nala-cub.github.io

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CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 05 Jun '23

05 Jun '23

================================================== *CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)* To advance the field of implicit temporal information retrieval from a text, this competition aims to challenge participants to develop automatic methods to identify the literary epochs of a given text, which is considered here as an implicit temporal context of a book. The task on Automatic Classification of Literary Epochs (CoLiE) aims at automatic identification of the literary epoch of a given text from its writing style: (1) Romanticism (1798-1837), (2) Victorian Literature (1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and (5) our days (from 2000). The competition is held as a part of the IACT’23 <https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval This competition is open to anyone with a passion for information retrieval, machine learning, and natural language processing. Whether you are a seasoned expert or a newcomer to the field, we welcome you to participate and extend the boundaries of automated text analysis! Competition site: http://www.kaggle.com/competitions/colie Competition Timeline - May 28, 2023: The competition is open to participants. Training and validation sets together with their labels are available. - July 10, 2023: Test dataset available. - July 17, 2023, 23:59 UTC: Final submission deadline. - July 27, 2023: The winners are announced at the special session at the IACT'23 <https://en.sce.ac.il/news/iact23> workshop. *The organizing team* - Dr. Marina Litvak (marinal(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Dr. Irina Rabaev (irinar(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Prof. Ricardo Campos (ricardo.campos(a)ipt.pt), Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar INESC TEC, Porto Porto, Portugal - Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt) University of Porto Porto, Portugal - Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at) University of Innsbruck, Innsbruck, Austria - Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel -- Best regards, Marina Litvak

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Ph.D. position in NLP at the School of Engineering (University of Edinburgh)
by Shay Cohen 05 Jun '23

05 Jun '23

On behalf of Dr. Elliot Crowley from the School of Engineering at the University of Edinburgh (queries at elliot.crowley(a)ed.ac.uk): Application link: Affordable Training of Large Language Models<https://www.eng.ed.ac.uk/studying/postgraduate/research/phd/affordable-trai…> Recent developments in large language models (LLMs) have caught the attention of the public. LLMs such as OpenAI's GPT-4 and Google's Bard are able to generate remarkably realistic, coherent text based on a user's input and have the potential to be general-purpose tools used throughout society e.g. for customer service, summarising text, answering questions, writing contracts or translating between languages. However, LLMs are prohibitively expensive to train. GPT-3 (which is significantly smaller than its successor, GPT-4) has an estimated training time of 355-GPU years and an estimated training cost of $4.6M [1]. Only large, wealthy institutions can train these models and thereby control how they are trained and who gets access to them. This is undemocratic. Very recent work provides hope however. In [2] the authors explore the promising idea of “cramming”: the training of a LLM on a single GPU in a day. In [3] the authors use synthetic data to train “small” language models that can produce consistent stories at little cost. There is a huge discrepancy in quality between these models and their expensive counterparts, however. In this PhD, the student will investigate affordable LLM training i.e. with limited compute and/or data, inspired by [2,3]. Avenues of research could include (i) generating training data that facilitates fast training e.g. through dataset distillation [4]; (ii) exploring neural architecture search to develop models that are "aware" of being resource-constrained while being trained; (iii) developing novel cost-effective training algorithms, (iv) leveraging and tuning open-source LLMs. The successful student will have opportunities for collaboration within and outside Edinburgh’s School of Engineering e.g. with colleagues in the Institute for Digital Communications<https://www.eng.ed.ac.uk/research/institutes/idcom/>, The Bayesian and Neural Systems Group<https://www.bayeswatch.com/>, and Edinburgh NLP<https://edinburghnlp.inf.ed.ac.uk/>. [1] https://lambdalabs.com/blog/demystifying-gpt-3 [2] https://arxiv.org/abs/2212.14034 [3] https://arxiv.org/abs/2305.07759 [4] https://arxiv.org/abs/1811.10959 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Final Call for Submissions
by georgeangelos60＠gmail.com 05 Jun '23

05 Jun '23

*** Final Call for Submissions *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) Submission Deadline: Abstracts by June 25, 2023; Full Papers by July 2, 2023 AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry’s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: • Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities • Blockchains for Service-Oriented and Cloud Computing • Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing • Business processes, e.g., service-based workflow deployment and management • Cloud interoperability, service and Cloud standards, • Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT • Cloud-native architectures and paradigms, e.g., microservices and DevOps • Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. • Deployment, composition, and management of applications in Service-Oriented and Cloud Computing • Foundations and formal methods for Service-Oriented and Cloud Computing • Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics • Model-Driven Engineering for Service-Oriented and Cloud Computing • Multi-Cloud, cross-Cloud, and federated Cloud solutions • Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing • Semantic services and service mining • Service and Cloud middlewares and platforms • Software/service adaptation and evolution in Service-Oriented and Cloud Computing • Storage, computation and network Clouds • Sustainability and energy issues in Service-Oriented and Cloud Computing • Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing • Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing • Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds • Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES • Submission of abstracts: June 25th, 2023 (AoE) • Submission of full papers: July 2nd, 2023 (AoE) • Notification to authors: August 4th, 2023 (AoE) • Camera-ready versions due: August 21st, 2023 (AoE) • Author registration due: August 21st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: • Regular Research Papers (15 pages including references) • PhD Symposium (12 pages including references) • Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC’s scope) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). They must be submitted to the EasyChair site at:  https://easychair.org/conferences/?conf=esocc2023 by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair • George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) Program Chairs • Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) • Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/

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summer school/BOOTCAMP announcement
by Anna Marchi 05 Jun '23

05 Jun '23

The University of Bologna is offering* a funded residential bootcamp*: *"Theories and methods for the corpus-assisted analysis of discourse: from language that denotes to language that expresses phenomena". * 20 participants *27-30 September (Bertinoro - Italy)* *Deadline for application 19/06/2023* #cadscamp All info: *https://centri.unibo.it/colitec/en/events/bootcamp-28-30-september-2023 <https://centri.unibo.it/colitec/en/events/bootcamp-28-30-september-2023> * Best, Anna

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Call for Participation: FinCausal 2023 (Financial Document Causality Detection)
by Doaa Samy 05 Jun '23

05 Jun '23

Call for Participation: *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*. The exact date is to be announced. Important Dates: - Call for participation and registration: 3rd June 2023 - Registration deadline: 28 June - Training set release: 29 June 2023 - Test set release: 5 September 2023 - Systems submission deadline: 15 September 2023 - Release of results: 20 September 2023 - Paper submission deadline: 20 October 2023 - Notification of acceptance: November 12, 2023 - Camera-ready of accepted papers: November 20, 2023 - FNP Workshop: December 2023 Workshop URL: https://wp.lancs.ac.uk/cfie/fincausal2023/ Registration Form: https://forms.gle/29E161a8RmMosBLU8. After completing the registration form, the practice set will be sent to participants. *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. *FinCausal Shared Task Organisers:* - Antonio Moreno-Sandoval (UAM, Spain) - Blanca Carbajo Coronado (UAM, Spain) - Doaa Samy (UCM, Spain) - Jordi Porta (UAM, Spain) - Dominique Mariko (Yseop, France) For any questions, please contact the organisers at *fincausal.2023(a)gmail.com <fincausal.2023(a)gmail.com>*

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LxGr2023: Programme and Call for Participation
by Costas Gabrielatos 03 Jun '23

03 Jun '23

8th Symposium on Corpus Approaches to Lexicogrammar (LxGr2022) The symposium will take place online on 6-8 July 2023. The programme and registration details are here: https://sites.edgehill.ac.uk/lxgr/lxgr2023 For more information, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Call for participation - Arabic NER Shared Task 2023
by nagham ghanim 02 Jun '23

02 Jun '23

Dear colleagues, We are happy to invite you to join the *Arabic NER SharedTask 2023* <https://dlnlp.ai/st/wojood/> which will be organized as part of the WANLP 2023. We will provide you with a large corpus and Google Colab notebooks to help you reproduce the baseline results. دعوة للمشاركة في مسابقة استخراج الكيونات المسماه من النصوص العربية. سنزود المشاركين بمدونة وبرمجيات للحصول على نتائج مرجعية يمكنهم البناء عليها. *INTRODUCTION* Named Entity Recognition (NER) is integral to many NLP applications. It is the task of identifying named entity mentions in unstructured text and classifying them to predefined classes such as person, organization, location, or date. Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood, a large and rich Arabic NER corpus. Wojood consists of about 550K tokens (MSA and dialect, in multiple domains) that are manually annotated with 21 entity types. *REGISTRATION* Participants need to register via this form ( *https://forms.gle/UCCrVNZ2LaPviCZS6* <https://forms.gle/UCCrVNZ2LaPviCZS6>). Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. *FAQ* For any questions related to this task, please check our *Frequently Asked Questions* <https://docs.google.com/document/d/1XE2n89mFLic2P9DO_sAD51vy734BOt0kgtZ6bFf…> *IMPORTANT DATES* - March 03, 2023: Registration available - May 25, 2023: Data-sharing and evaluation on development set Avaliable - June 10, 2023: Registration deadline - July 20, 2023: Test set made available - July 30, 2023: Evaluation on test set (TEST) deadline - Augest 29, 2023: Shared task system paper submissions due - October 12, 2023: Notification of acceptance - October 30, 2023: Camera-ready version - TBA: WANLP 2023 Conference. ** All deadlines are 11:59 PM UTC-12:00 (Anywhere On Earth).* *CONTACT* For any questions related to this task, please contact the organizers directly using the following email address: *NERShare...(a)gmail.com <https://groups.google.com/>* or join the google group: *https://groups.google.com/g/ner_sharedtask2023* <https://groups.google.com/g/ner_sharedtask2023>. *SHARED TASK* As described, this shared task targets both flat and nested Arabic NER. The subtasks are: *Subtask 1:* *Flat NER* In this subtask, we provide the Wojood-Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). The flat NER dataset is the same as the nested NER dataset in terms of train/test/dev split and each split contains the same content. The only difference in the flat NER is each token is assigned one tag, which is the first high-level tag assigned to each token in the nested NER dataset. *Subtask 2:* *Nestd NER* In this subtask, we provide the Wojood-Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). *METRICS* The evaluation metrics will include precision, recall, F1-score. However, our official metric will be the micro F1-score. The evaluation of shared tasks will be hosted through CODALAB. Teams will be provided with a CODALAB link for each shared task. -*CODALAB link for NER Shared Task Subtask 1 (Flat NER)* <https://codalab.lisn.upsaclay.fr/competitions/11594> -*CODALAB link for NER Shared Task Subtask 2 (Nestd NER)* <https://dlnlp.ai/st/wojood/> *BASELINES* Two baseline models trained on Wojood (flat and nested) are provided: *Nested NER baseline:* is presented in this *article* <https://aclanthology.org/2022.lrec-1.387/>, and code is available in *GitHub* <https://github.com/SinaLab/ArabicNER>. The model achieves a micro F1-score of 0.9059 (note that this baseline does not handle nested entities of the same type). *Flat NER baseline:* same code repository for nested NER (*GitHub* <https://github.com/SinaLab/ArabicNER>) can also be used to train flat NER task. Our flat NER baseline achieved a micro F1-score of 0.8785. *GOOGLE COLAB NOTEBOOKS* To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] *Train Flat NER* <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat NER task using the sample Wojood data found in our repository. [2] *Evaluate Flat NER* <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] *Train Nested NER* <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested NER task using the sample Wojood data found in our repository. [4] *Evaluate Nested NER* <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. *ORGANIZERS* - Mustafa Jarrar, Birzeit University - Muhammad Abdul-Mageed, University of British Columbia & MBZUAI - Mohammed Khalilia, Birzeit University - Bashar Talafha, University of British Columbia - AbdelRahim Elmadany, University of British Columbia - Nagham Hamad, Birzeit University - Alaa Omer, Birzeit University

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The 5th Financial Narrative Processing Workshop (FNP 2023)
by Marina Litvak 02 Jun '23

02 Jun '23

*The 5th Financial Narrative Processing Workshop (FNP 2023)* To be held at the 2023 IEEE International Conference on Big Data (IEEE BigData 2023), Sorrento, Italy, from 15 to 18 December 2023. FNP 2023: http://wp.lancs.ac.uk/cfie/fnp2023/ *Submission page:* https://wi-lab.com/cyberchair/2023/bigdata23/scripts/submit.php?subarea=S14… *Important Dates:* 1st Call for workshop papers: June 1, 2023 2nd Call for workshop papers: August 15, 2023 Final Call for workshop papers: October 1, 2023 Due date for workshop papers submission: October 30, 2023 (anywhere in the world) Notification of paper acceptance to authors: November 12, 2023 Camera-ready of accepted papers: November 20, 2023 Workshop date: 1 day event: December 15-18, 2023 (exact date to be announced) Other dates for shared tasks will be advertised separately *Workshop Description:*Financial narrative processing is an emerging field that combines natural language processing (NLP) and machine learning (ML) techniques to extract, summarise, and analyse both qualitative and quantitative financial data. As the amount of financial data continues to grow exponentially, this data is increasingly considered as big data, which presents challenges and opportunities for data scientists. The 5th Financial Narrative Processing Workshop (FNP 2023) aims to bring together researchers and industry practitioners to share their latest research results and practical experiences in financial narrative processing, which is a key aspect of big data. In particular, the workshop will focus on three shared tasks: Financial Narrative Summarization, Financial Table of Content Extraction, and Financial Causality Detection. These tasks will challenge participants to apply state-of-the-art techniques in NLP and ML to extract meaningful insights from financial documents. The workshop will provide an informal and vibrant forum for discussion and collaboration, with the goal of advancing the field of financial narrative processing within the context of big data. We welcome submissions from researchers and practitioners in academia and industry. FNP 2023 workshop is organised by a team of experts who have been at the forefront of financial NLP research for the past five years. We have organised more than 7 international events, introduced NLP and AI shared tasks, and provided big datasets and methodologies needed to push forward the emerging field of financial NLP. Our workshop series has contributed significantly to the field of financial NLP, as evidenced by our proceedings on ACL anthology and citations in Google Scholar. *Previous Proceedings:*All FNP proceedings across the years are on ACL Anthology: https://aclanthology.org/venues/fnp/. The 1st FNP was associated with LREC 2018 http://lrec-conf.org/workshops/lrec2018/W27/pdf/book_of_proceedings.pdf FNP Google Scholar: https://scholar.google.com/citations?hl=en&user=8Qn7yJ8AAAAJ *Motivation:*Financial narrative disclosures represent a significant portion of firms’ overall financial communications with investors. Textual commentaries help to clarify issues that may be obscured by complex accounting methods and footnote disclosures. In addition, narratives summarise corporate strategy, contextualise results, explain governance arrangements, describe corporate social responsibility policy, and provide forward-looking information for investors. However, financial narratives may also provide management with an opportunity to obfuscate accounting results and manipulate readers’ perceptions of underlying economic performance. In a previous FNP workshop, we organised a panel of experts to discuss the future of Financial NLP and data leaders from AI firms in France and London. The consensus was that financial data has increased exponentially in recent years due to the increase in regulations. This has led to an increase in the number of financial news surrounding the events of releasing such disclosures. Therefore, state-of-the-art methodologies are necessary to understand and analyse huge and sensitive financial data in a short amount of time. We believe that the FNP 2023 workshop will continue to contribute to the field of Financial NLP by providing a platform for researchers and industry practitioners to share their research results and practical development experiences in Big Data research, development, and practice. In addition, our workshop will help participants gain a better understanding of the challenges posed by big data and its 5 V’s (velocity, volume, value, variety, and veracity) in financial text analysis. *Topics of Interest in relation to Financial NLP:*We encourage research on topics related to analysing financial narratives using state-of-the-art NLP techniques, including but not limited to morphological analysis, disambiguation, tokenization, part-of-speech tagging, named entity recognition, chunking, parsing, semantic role labelling, sentiment analysis, document quality, and advanced readability metrics. The use of NLP and machine learning in the financial domain has encouraged studies around gender and ethnicities imbalance, as well as mental health and well-being research. Given the focus of the IEEE Big Data 2023 conference, we also encourage research on under-resourced languages and under-represented financial markets. In recent years, FNP has included research on Arabic, Spanish, and Portuguese financial markets. Our collaboration with the MultiLing workshop ( http://multiling.iit.demokritos.gr) has highlighted the importance of summarization across domains and sources that are related to finance (e.g., company blogs, product reviews, market briefs, etc.). This includes financial multilingual and cross-lingual summarization using single-document summarization, multi-document summarization, summarization evaluation, headline generation, and cross-domain/cross-topic summarization. Given the international nature of the event, we particularly welcome FNP papers reporting non-English and multilingual research, describing the different regulatory regimes within which companies operate internationally. *The FNP2023 shared tasks* will be announced separately and are expected to be: Financial Narrative Summarisation (FNS 2023) Financial Table of Content Extraction (FinTOC 2023) Financial Causality Detection (FinCausal 2023) For the latest details about the shared tasks please visit: http://wp.lancs.ac.uk/cfie/shared-tasks/ *Call For Papers for the Main Workshop:* We invite papers describing original, completed or ongoing, unpublished research in Financial Natural Language Processing and Financial Text Analysis. As financial data is increasingly considered as big data, we encourage submissions that address the five main and innate characteristics of big data (velocity, volume, value, variety, and veracity) in the context of financial narrative processing. We encourage submissions on topics that include, but are not limited to, the following: - Applying core technologies on financial narratives within the context of big data: morphological analysis, disambiguation, tokenization, part-of-speech tagging, named entity recognition, chunking, parsing, semantic role labelling, sentiment analysis, document quality and advanced readability metrics, etc. - Using NLP to detect misreporting in relation to diversity and wellbeing on issues related to gender, ethnicity, women at work as well as employee mental health and stability, in the context of big data. - Financial narrative resources and tools for managing and analysing large-scale financial data. - Summarization techniques across domains and sources that are related to finance (e.g. company blogs, product reviews, market briefs, etc.), this includes financial multilingual and cross-lingual summarization using single-document summarization, multi-document summarization, summarization evaluation, headline generation, cross-domain/cross-topic summarization. - Analysis of Online Social Networks for detection of public opinions towards financial events. - Multilingual analysis, describing the different regulatory regimes within which companies operate internationally. - Ongoing research and preliminary results that explore the intersection of financial narrative processing and big data. - Negative results, for example techniques and methodologies that work for certain languages but not on others. Other venues could be showing that state-of-the-art technologies such as BERT could fail on certain tasks or languages. All papers accepted will be included in the conference proceedings published by the IEEE Computer Society Press. We follow IEEE submission format. Please submit a full paper (up to 10 page IEEE 2-column format) or short paper (up to 4 page IEEE 2-column format) through the online submission system. *Organising Committee:* Dr Mo El-Haj, Lancaster University, UK (General Chair) Dr Houda Bouamor, CMU, Qatar (FNP Program Chair) Prof Paul Rayson, Lancaster University, UK (FNP Program Chair) Blanca Carbajo Coronado, UAM, Madrid, Spain (FNP coordinator, Publication Chair) Nikiforos Pittaras, NCSR Demokritos (Publicity Chair) Dr George Giannakopoulos, NCSR Demokritos (FNS Shared Task Organiser) Dr Marina Litvak, Shamoon Academic College of Engineering (FNS Shared Task Organiser) Prof Antonio Moreno Sandoval, UAM, Madrid, Spain (FinCausal Shared Task Organizer) Dr Doaa Samy, UAM, Madrid, Spain (FinCausal Shared Task Organizer) Dr Juyeon KANG, Fortia Financial Solution (FinTOC Shared Task Organiser) Dr Ismail El Maarouf, Imprevicible (FinTOC Shared Task Organiser) -- Best regards, Marina Litvak

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2nd CfP: The 1st Workshop on Counter Speech for Online Abuse
by Abercrombie, Gavin 02 Jun '23

02 Jun '23

2nd Call for Papers The 1st Workshop on Counter Speech for Online Abuse: A workshop for creating, investigating and improving tools for producing and evaluating counter speech. Hate speech and abusive and toxic language are prevalent in online spaces. For example, a 2019 survey shows that in the UK 30-40% of people have experienced online abuse, and platforms like Facebook bring down millions of harmful posts every year, with the help of AI tools. While removal of such content can immediately reduce the quantity of harmful messages, it can bring about accusations of censorship and may not be effective at curbing hate in the long term. An alternative approach is to reply with counter speech, i.e. targeted responses aimed at refuting the hateful language using thoughtful and cogent reasons, and fact-bound arguments. This has been shown to be effective in influencing the behaviour of both the perpetrators of abuse and bystanders that witness the interactions, as well as providing support to victims. The sheer amount of social media data shared online on a daily basis means that hate mitigation, using counter speech, requires reliable, efficient and scalable tools. Recently, efforts have been made to curate hate countering datasets and automate the production of counter speech. However, this research field is still in its infancy, and many questions remain open regarding the most effective approaches and methods to take, as well as how to evaluate them. This first multidisciplinary workshop aims to bring together researchers from diverse backgrounds such as computer science and the social sciences, as well as policy makers and other stakeholders to attempt to understand how counter speech is currently used to tackle abuse by individuals, activists and organisations, how Natural Language Processing (NLP) and Generation (NLG) can be applied to produce counter narratives, and the implications of using large language models for this task. It will also address, but not be limited to, the questions of how to evaluate and measure the impacts of counter speech, the importance of expert knowledge from civil society in the development of counter speech datasets and taxonomies, and how to ensure fairness and mitigate the biases present in language models when generating counter speech. Topics We invite papers (long and short) on a wide range of topics, including but not limited to: • Models and methods for generating counter speech; • Dialogue agents employing counter speech to address hateful inputs, directed towards other people or the AI itself; • Human and automatic evaluation methods of counter speech tools; • Multidisciplinary studies including different perspectives on the topic such as from computer science, social science, NGOs and stakeholders; • Development of datasets and taxonomy for counter speech; • Potentials and limitations (e.g., fairness, biases) of using large language models for generating counter speech; • Social impact and empirical studies of counter speech on social media, including investigating the effectiveness and consequences on users of employing counter speech to fight online hate; • Proposals for future research on counter speech, and/or preliminary results of studies in this field We accept three types of submissions: * Regular research papers – long (8 pages) or short (4 pages); * Non-archival submissions: like research papers, but will not be included in the proceedings; * Research communications: 2-4 page abstracts summarising relevant research published elsewhere. Submission link: https://softconf.com/n/cs4oa2023 Location: co-located with SIGdialxINLG, Prague, Czechia Important dates All deadlines are Anywhere on Earth (UTC-12) * Submission deadline: Jun 26, 2023 * Notification of acceptance Jul 17, 2023 * Camera-ready deadline Aug 11, 2023 * Workshop date: September 11/12 2023 Format and Styling Submissions should follow ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting/<https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip>. Organising Committee: * Yi-Ling Chung, The Alan Turing Institute * Gavin Abercrombie, Heriot-Watt University * Helena Bonaldi, Fondazione Bruno Kessler * Marco Guerini, Fondazione Bruno Kessler Contact If you have any questions, please let us know at cs4oa(a)googlegroups.com Website: https://sites.google.com/view/cs4oa Twitter: @cs4oa_workshop<https://twitter.com/cs4oa_workshop> ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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Birmingham Corpus Linguistics Summer School and Sinclair lecture 11 - 14 Sept 2023 (CCRSS23)
by Michaela Mahlberg 02 Jun '23

02 Jun '23

The 7th summer school hosted by the Centre for Corpus Research at the University of Birmingham will take place from 11th to 14th September 2023. https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Who is it for? The summer school is open to undergraduate, postgraduate, and doctoral students, as well as researchers who want to improve their skills to apply corpus methods in their own research. Our summer school aims to equip participants with critical expertise in both the theory and practice of corpus-supported linguistic research. Building on the strengths of our Centre for Corpus Research (CCR)<https://www.birmingham.ac.uk/research/activity/corpus/index.aspx> and our guest speakers, we strive to offer participants a learning experience that benefits their own specific research needs and enriches their experience as researchers more widely. There will be the opportunity for participants to present their own work and receive feedback from our expert team. Given the specialised nature of the programme, a basic understanding of corpus linguistics is highly recommended. What’s the format? The summer school will be online and consist of synchronous and asynchronous elements. Prior to the synchronous part, participants will be expected to complete asynchronous activities consisting of self-study video lectures and hands-on materials. The synchronous part will take place from 11 to 14 September, 2023. Over the course of four days, participants will be actively involved in two kinds of sessions. First, hands-on sessions will put the emphasis on the learning of practical skills for the purpose of extracting and analysing corpus data of various kinds, and the application of this knowledge to specific research projects. Second, participants will learn about current corpus research and theoretical foundations from our team. What is it about? Topics typically covered in the programme include (non-exhaustive list and subject to change): Corpus linguistics for media analysis Analysis of spoken corpora CQPweb Introduction to R and tidyverse Web scraping with R Digital humanities and the study of fiction Sign language corpora Regular expressions Corpora and legal research Critical issues in keyness analysis Behavioral Profiles Machine learning in corpus linguistics Corpus-based discourse analysis Corpus linguistics and language learning Who are the teachers? Our local team of corpus linguists includes Dagmar Divjak<https://www.birmingham.ac.uk/staff/profiles/languages/divjak-dagmar.aspx>, Natalie Finlayson<https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jason Grafmiller<https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jack Grieve<https://www.birmingham.ac.uk/staff/profiles/elal/grieve-jack.aspx>, Michaela Mahlberg<https://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx>, Karen McAuliffe<https://www.birmingham.ac.uk/staff/profiles/law/mcauliffe-karen.aspx>, Petar Milin<https://www.birmingham.ac.uk/staff/profiles/languages/milin-petar.aspx>, Akira Murakami<https://www.birmingham.ac.uk/staff/profiles/elal/murakami-akira.aspx>, Florent Perek<https://www.birmingham.ac.uk/staff/profiles/elal/perek-florent.aspx>, Laurence Romain<https://www.birmingham.ac.uk/staff/profiles/languages/romain-laurence.aspx>, Adam Schembri<https://www.birmingham.ac.uk/staff/profiles/elal/schembri-adam.aspx>, Paul Thompson<https://www.birmingham.ac.uk/staff/profiles/elal/thompson-paul.aspx>, and Bodo Winter<https://www.birmingham.ac.uk/staff/profiles/elal/winter-bodo.aspx>. Guest speakers will include Robbie Love<https://robbielove.org/> (Aston University), Stephanie Evert<http://www.stephanie-evert.de/> (FAU Erlangen), Alexander Piperski<https://www.linguistik.phil.fau.de/person/alexander-piperski/> (FAU Erlangen) Sinclair lecture As every year, the annual Sinclair Lecture will take place during the Summer School. This year, the Lecture will be delivered on Monday 11 September by our very own Susan Hunston<https://www.birmingham.ac.uk/staff/profiles/elal/hunston-susan.aspx>. The Sinclair lecture will be an in-person event. Registration will open shortly via our webpage https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… For updates also follow @CCR_UoB See you there!

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Call for Book Chapter Submissions: "Empowering Low-Resource Languages With NLP Solutions"
by Pankaj Dadure 02 Jun '23

02 Jun '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 July 3, 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, 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:* July 3, 2023: Proposal Submission Deadline July 17, 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

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RANLP 2023 Student Workshop - Second Call for Papers
by Ivelina Nikolova 01 Jun '23

01 Jun '23

-----------------Apologies for cross-posting------------------- Second Call for Papers RANLP 2023 Student Research Workshop 4-6 September 2023 Varna, Bulgaria https://sites.google.com/view/ranlp-stud-2023/ The International Conference RANLP 2023 (http://ranlp.org/) would like to invite students at all levels (undergraduate, Master-, and PhD-students) to present their ongoing or completed work at the Student Research Workshop (https://sites.google.com/view/ranlp-stud-2023/). SUBMISSIONS We invite two types of student submissions: Full Papers must describe original unpublished work of the student in any topic area of the workshop. Full papers are limited to 8 pages for content, with 2 additional pages for references. Short Papers may describe either work in progress or a research proposal. They may also be in the style of a position paper that surveys and criticizes existing literature. Short papers must include clear directions for future research. Submissions of this type are limited to 6 pages for content, with 2 additional pages for references. All papers must be submitted in .pdf format through the START system (https://softconf.com/ranlp23/ranlp20t23stud/) . The papers should follow the format of the main conference, described at the RANLP website (http://ranlp.org/), Submissions page. All papers must have only student authors. Submissions with non-student authors will not be considered for review. After eventual acceptance of the paper, the authors could add their supervisor(s) in the Acknowledgments Section. The submissions must specify the student’s level (Bachelor-, Master-, or PhD) and the type of submission (Full or Short). Double submission Authors may submit the same paper at several conferences. In this case, they must notify the organizers by filling in the corresponding information in the submission form, as well as notifying the contact organizer by email. TOPICS OF INTEREST The aim of this workshop is to facilitate the exchange of knowledge between young researchers by providing an excellent opportunity to present and discuss their work and to receive mentorship and valuable feedback from an international research community. The research to be presented can come from any topic within Natural Language Processing (NLP) and Computational Linguistics, including but not limited to the following: Computational Social Science and Social Media; Computer-aided Language Learning; Dialogue and Interactive Systems; Discourse and Pragmatics; Ethics and NLP; Information Extraction; Information Retrieval and Text Mining; Intent Recognition and Detection; Interpretability and Analysis of Models for NLP; Language and Vision; Language Generation; Language Resources and Corpora; Linguistic Theories; Machine Translation and Computer-aided Translation Tools; Multilingual NLP; Multimodal Systems; NLP Applications – Biomedical, Educational, Healthcare, Financial, Legal, Semantic Web, etc.; Opinion Mining and Sentiment Analysis; Phonetics, Phonology, and Morphology; Question Answering; Semantics; Stylistic Analysis; Sublanguages and Controlled languages; Syntax: Tagging, Chunking, and Parsing; Temporal Processing; Text Categorization; Text Simplification and Readability Estimation; Text Summarisation; Text-to-Speech Synthesis and Speech Recognition; Textual Entailment. All accepted papers will be presented at the Student Workshop sessions (oral or poster) during the main conference days: 4-6 September 2023. The articles will be issued in a special Student Session proceedings and uploaded to the ACL Anthology. IMPORTANT DATES Submission deadline: 3 July 2023 Acceptance notification: 4 August 2023 Camera-ready deadline: 20 August 2023 Workshop: 4 - 6 September 2023 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth") ORGANISERS Momchil Hardalov (AWS AI Labs, Spain) Zara Kancheva (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria) Boris Velichkov (Faculty of Mathematics and Informatics at Sofia University “St. Kliment Ohridski”, Bulgaria) Ivelina Nikolova-Koleva (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, and Sirma AI, Bulgaria) Milena Slavcheva (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria)

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PhD Studentship in IR/NLP/AI: Large Language Models for Academic SEarch and Recommendation
by Ingo Frommholz 01 Jun '23

01 Jun '23

Faculty of Science and Engineering Dean Research PhD Studentship LASER - Large Language Models for Academic SEarch and Recommendation Deadline: June 19, 2023 University of Wolverhampton, UK Applications are invited for doctoral study in Computer Science, Information Retrieval and Natural Language Processing on the topic of Large Language Models for Academic Search and Recommendation. Project Description Scientific publications are an important vehicle for understanding the world around us; they contain scientific evidence that informs researchers and decision-makers, with a high impact on society. However, the rapid and large number of publications, in particular on preprint servers, causes an information overload for everybody struggling to keep up with developments in their field. This makes finding relevant information of high quality a challenging task, which requires advanced scholarly search and recommendation solutions. Recent developments in Large Language Models (LLMs) are having a huge impact on Artificial Intelligence (AI) and related fields. LLMs are a type of AI trained on huge amounts of text, with ChatGPT/GPT-4 and Bard as popular examples. LLMs combined with conversational AI provide exciting new possibilities for interactive search and recommendation, but they are also suffering from severe flaws. While there are efforts to combine LLMs with, e.g., neural search, the endeavour of utilising LLMs to tackle information overload in academia has only started and more research is needed. This PhD studentship will explore how LLMs can be used to improve academic search and recommendation and what their benefits and limitations are. This may include integrating LLMs into search and recommendation services or utilising search to keep LLMs from "hallucinating". A further part of this project is to estimate the quality of publications. The PhD project provides exciting opportunities for the successful candidate to work with and critically reflect on innovative technologies at the forefront of AI that will shape our digital future. As a further incentive, the PhD candidate will be able to participate in an EU Horizon Europe Staff Exchange project, providing the opportunity to go on fully funded secondments to collaborate with an international network of researchers and industry partners. For further information regarding the project or an informal discussion please contact Director of Studies, Dr Ingo Frommholz <i.frommholz(a)wlv.ac.uk>. To apply for one of the above PhD Research Studentship applicants must hold a first class/distinction at Master and/or Bachelor level of study. Applications to include one identified project, a full CV (including 2 referee names and contact details), transcripts and a letter of application outlining the motivation for applying (maximum of 2 pages). Applicants from outside UK must provide evidence of English Language requirement as stated in https://www.wlv.ac.uk/research/research-degrees/ Application submission deadline is 10:00am BST 19 June 2023 to FSEPGR(a)wlv.ac.uk A shortlist of candidates will be prepared from the pool of applicants, in line with Faculty of Science and Engineering Post Graduate Research (PGR) studentship selection criteria, who will be invited to attend an interview with a panel of academic staff, week commencing 26 June 2023. Following this process, all successful candidates will be notified to enrol in July 2023 on a PhD degree programme. The studentship award will include tuition fees at home level for the first three years of full-time study including any write-up period fees and research support fees. For further information on fees https://www.wlv.ac.uk/apply/funding-costs-fees-and-support/fees-and-costs/r… Informal enquiries are welcome and should be directed to the individual Director of Studies mentioned above. Further information: https://www.wlv.ac.uk/schools-and-institutes/faculty-of-science-and-enginee… (look for the LASER project) -- Ingo Frommholz, PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science 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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LongEval: Call for papers and talk proposals
by Elena Kochkina 01 Jun '23

01 Jun '23

Dear colleagues, We invite submissions of papers and talk proposals to LongEval 2023 Workshop on Longitudinal Evaluation of Model Performance. https://clef-longeval.github.io/ CLEF 2023 Conference and Labs of the Evaluation Forum<https://clef2023.clef-initiative.eu/index.php> 18-21 September 2023, Thessaloniki - Greece<https://clef2023.clef-initiative.eu/index.php><https://clef2023.clef-initiative.eu/index.php> Topics of interest include (but not limited to): • Evaluations of the temporal persistence of information retrieval (IR) systems and text classifiers for various tasks • Challenges posed by the dynamic nature of language • Time-aware longitudinal models • Post-evaluation stage LongEval shared-task submissions. Deadlines: Papers: June 5th (to be included in the proceedings) Submission format: https://drive.google.com/drive/folders/1r2lNOteMNoQrhQGUat6VHPUnwFAgR8Nz Length: a maximum of 8 pages not including references and appendices). Submission link: https://easychair.org/my/conference?conf=clef2023 Talk proposals: July 10th (not included in the proceedings) Submission format: a maximum of 2 pages Submission link: https://forms.gle/fU46Fb5zJufxF5NV8 Organisers: Alkhalifa, Rabab, Bilal, Iman, Borkakoty, Hsuvas, Camacho-Collados, Jose, Deveaud, Romain, El-Ebshihy, Alaa, Espinosa-Anke, Luis, Gonzalez-Saez, Gabriela, Galusakova, Petra, Goeuriot, Lorraine, Kochkina, Elena, Liakata, Maria, Loureiro, Daniel, Tayyar Madabushi, Harish, Mulhem, Philippe, Piroi, Florina, Popel, Martin, Servan, Christophe, Zubiaga, Arkaitz. Feel free to reach out with any questions! Best regards, Elena Kochkina On behalf of LongEval organisers

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Third CFP: Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad＠ugr.es 01 Jun '23

01 Jun '23

The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" Third call for papers Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: * Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; * Extraction and acquisition of semantic relations between terms; * Extraction and generation of domain specific definitions and disambiguation of terms; * Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; * Extraction of terminological context, through the use of comparable and parallel corpus; * Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; * The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); * The creation of domain ontologies, thesaurus, terminological resources in specialised domains; * The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; * Identification of key problems in terminology and new technologies used in translation studies; * Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; * Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; * Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; * Phraseology and multiword expressions in cross-linguistic studies; * Translation and interpreting tools, such as translation memories, machine translation and alignment tools; * User requirements for interpreting and translation tools. SUBMISSION GUIDELINES Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as ConTeNTs workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START system: https://softconf.com/ranlp23/ConTeNTS Website of the workshop: https://contents2023.kulak.kuleuven.be/ Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 10 July 2023 Acceptance notification: 5 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7/8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee * Sophia Ananiadou (University of Manchester) * Maria Andreeva Todorova (Bulgarian Academy of Sciences) * Silvia Bernardini (University of Bologna) * Melania Cabezas García (Universidad de Granada) * Rute Costa (Universidade Nova de Lisboa) * Esther Castillo Pérez (Universidad de Granada) * Patrick Drouin (Université de Montréal) * Pamela Faber (Universidad de Granada) * Mercedes García de Quesada (Universidad de Granada) * Dagmar Gromann (Centre for Translation Studies - University of Vienna) * Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) * Rejwanul Haque (National College of Ireland) * Amir Hazem (Nantes University) * Kyo Kageura (University of Tokyo) * Barbara Karsch (BIK Terminology - USA) * Dorothy Kenny (Dublin City University) * Miloš Jakubíček (Sketch Engine) * Hendrik Kockaert (KU Leuven) * Philipp Koehn (Johns Hopkins University) * Maria Kunilovskaya (Saarland University) * Marie-Claude L'Homme (Université de Montréal) * Hélène Ledouble (Université de Toulon) * Pilar León-Araúz (Universidad de Granada) * Rodolfo Maslias (former Head of TermCoord, European Parliament) * Silvia Montero Martínez (Universidad de Granada) * Emmanuel Morin (LS2N-TALN) * Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) * Sandrine Peraldi (University College Dublin) * Silvia Piccini (Italian National Research Council) * Thierry Poibeau (CNRS) * Senja Pollak (Jožef Stefan Institute) * Maria Pozzi Pardo (El Colegio de México) * Tharindu Ranasinghe (Aston University) * Arianne Reimerink (Universidad de Granada) * Andres Repar (Jožef Stefan Institute) * Christophe Roche (Université Savoie Mont-Blanc) * Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) * Beatriz Sánchez Cárdenas (Universidad de Granada) * Vilelmini Sosoni (Ionian University) * Irena Spasic (Cardiff University) * Elena Isabelle Tamba (Romanian Academy, Iași Branch) * Rita Temmerman (Vrije Universiteit Brussel) * Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

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PhD in ML/NLP – Efficient, Fair, robust and knowledge informed self-supervised learning for speech processing
by François Portet 01 Jun '23

01 Jun '23

PhD in ML/NLP – Efficient, Fair, robust and knowledge informed self-supervised learning for speech processing Starting date: November 1st, 2022 (flexible) Application deadline: September 5th, 2022 Interviews (tentative): September 19th, 2022 Salary: ~2000€ gross/month (social security included) Mission: research oriented (teaching possible but not mandatory) *Keywords:*speech processing, natural language processing, self-supervised learning, knowledge informed learning, Robustness, fairness *CONTEXT* The ANR project E-SSL (Efficient Self-Supervised Learning for Inclusive and Innovative Speech Technologies) will start on November 1st 2022. Self-supervised learning (SSL) has recently emerged as one of the most promising artificial intelligence (AI) methods as it becomes now feasible to take advantage of the colossal amounts of existing unlabeled data to significantly improve the performances of various speech processing tasks. *PROJECT OBJECTIVES* Recent SSL models for speech such as HuBERT or wav2vec 2.0 have shown an impressive impact on downstream tasks performance. This is mainly due to their ability to benefit from a large amount of data at the cost of a tremendous carbon footprint rather than improving the efficiency of the learning. Another question related to SSL models is their unpredictable results once applied to realistic scenarios which exhibit their lack of robustness. Furthermore, as for any pre-trained models applied in society, it isimportant to be able to measure the bias of such models since they can augment social unfairness. The goals of this PhD position are threefold: - to design new evaluation metrics for SSL of speech models ; - to develop knowledge-driven SSL algorithms ; - to propose methods for learning robust and unbiased representations. SSL models are evaluated with downstream task-dependent metrics e.g., word error rate for speech recognition. This couple the evaluation of the universality of SSL representations to a potentially biased and costly fine-tuning that also hides the efficiencyinformation related to the pre-training cost. In practice, we will seek to measure the training efficiency as the ratio between the amount of data, computation and memory needed to observe a certain gain in terms of performance on a metric of interest i.e.,downstream dependent or not. The first step will be to document standard markers that can be used as robust measurements to assess these values robustly at training time. Potential candidates are, for instance, floating point operations for computational intensity, number of neural parameters coupled with precision for storage, online measurement of memory consumption for training and cumulative input sequence length for data. Most state-of-the-art SSL models for speech rely onmasked prediction e.g. HuBERT and WavLM, or contrastive losses e.g. wav2vec 2.0. Such prevalence in the literature is mostly linked to the size, amount of data and computational resources injected by thecompany producing these models. In fact, vanilla masking approaches and contrastive losses may be identified as uninformed solutions as they do not benefit from in-domain expertise. For instance, it has been demonstrated that blindly masking frames in theinput signal i.e. HuBERT and WavLM results in much worse downstream performance than applying unsupervised phonetic boundaries [Yue2021] to generate informed masks. Recently some studies have demonstrated the superiority of an informed multitask learning strategy carefully selecting self-supervised pretext-tasks with respect to a set of downstream tasks, over the vanilla wav2vec 2.0 contrastive learning loss [Zaiem2022]. In this PhD project, our objective is: 1. continue to develop knowledge-driven SSL algorithms reaching higher efficiency ratios and results at the convergence, data consumption and downstream performance levels; and 2. scale these novel approaches to a point enabling the comparison with current state-of-the-art systems and therefore motivating a paradigm change in SSL for the wider speech community. Despite remarkable performance on academic benchmarks, SSL powered technologies e.g. speech and speaker recognition, speech synthesis and many others may exhibit highly unpredictable results once applied to realistic scenarios. This can translate into a global accuracy drop due to a lack of robustness to adversarial acoustic conditions, or biased and discriminatory behaviors with respect to different pools of end users. Documenting and facilitating the control of such aspects prior to the deployment of SSL models into the real-life is necessary for the industrial market. To evaluate such aspects, within the project, we will create novel robustness regularization and debasing techniques along two axes: 1. debasing and regularizing speech representations at the SSL level; 2. debasing and regularizing downstream-adapted models (e.g. using a pre-trained model). To ensure the creation of fair and robust SSL pre-trained models, we propose to act both at the optimization and data levels following some of our previous work on adversarial protected attribute disentanglement and the NLP literature on data sampling and augmentation [Noé2021]. Here, we wish to extend this technique to more complex SSL architectures and more realistic conditions by increasing the disentanglement complexity i.e. the sex attribute studied in [Noé2021] is particularly discriminatory. Then, and to benefit from the expert knowledge induced by the scope of the task of interest, we will build on a recent introduction of task-dependent counterfactual equal odds criteria [Sari2021] to minimize the downstream performance gap observed in between different individuals of certain protected attributes and to maximize the overall accuracy. Following this multi-objective optimization scheme, we will then inject further identified constraints as inspired by previous NLP work [Zhao2017]. Intuitively, constraints are injected so the predictions are calibrated towards a desired distribution i.e. unbiased. *SKILLS* * Master 2 in Natural Language Processing, Speech Processing, computer science or data science. * Good mastering of Python programming and deep learning framework. * Previous in Self-Supervised Learning, acoustic modeling or ASR would be a plus * Very good communication skills in English * Good command of French would be a plus but is not mandatory *SCIENTIFIC ENVIRONMENT* The thesis will be conducted within the Getalp teams of the LIG laboratory (_https://lig-getalp.imag.fr/_ <https://lig-getalp.imag.fr/>) and the LIA laboratory (https://lia.univ-avignon.fr/). The GETALP team and the LIA have a strong expertise and track record in Natural Language Processing and speech processing. The recruited person will be welcomed within the teams which offer a stimulating, multinational and pleasant working environment. The means to carry out the PhD will be providedboth in terms of missions in France and abroad and in terms of equipment. The candidate will have access to the cluster of GPUs of both the LIG and LIA. Furthermore, access to the National supercomputer Jean-Zay will enable to run large scale experiments. The PhD position will be co-supervised by Mickael Rouvier (LIA, Avignon) and Benjamin Lecouteux and François Portet (Université Grenoble Alpes). Joint meetings are planned on a regular basis and the student is expected to spend time in both places. Moreover, the PhD student will collaborate with several team members involved in the project in particular the two other PhD candidates who will be recruited and the partners from LIA, LIG and Dauphine Université PSL, Paris. Furthermore, the project will involve one of the founders of SpeechBrain, Titouan Parcollet with whom the candidate will interact closely. *INSTRUCTIONS FOR APPLYING* Applications must contain: CV + letter/message of motivation + master notes + be ready to provide letter(s) of recommendation; and be addressed to Mickael Rouvier (_mickael.rouvier(a)univ-avignon.fr_ <mailto:mickael.rouvier@univ-avignon.fr>), Benjamin Lecouteux(benjamin.lecouteux(a)univ-grenoble-alpes.fr) and François Portet (_francois.Portet(a)imag.fr_ <mailto:francois.Portet@imag.fr>). We celebrate diversity and are committed to creating an inclusive environment for all employees. *REFERENCES:* [Noé2021] Noé, P.- G., Mohammadamini, M., Matrouf, D., Parcollet, T., Nautsch, A. & Bonastre, J.- F. Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation in Proc. Interspeech 2021 (2021), 1902–1906. [Sari2021] Sarı, L., Hasegawa-Johnson, M. & Yoo, C. D. Counterfactually Fair Automatic Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3515–3525 (2021) [Yue2021] Yue, X. & Li, H. Phonetically Motivated Self-Supervised Speech Representation Learning in Proc. Interspeech 2021 (2021), 746–750. [Zaiem2022] Zaiem, S., Parcollet, T. & Essid, S. Pretext Tasks Selection for Multitask Self-Supervised Speech Representation in AAAI, The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing, 2023 (2022). [Zhao2017] Zhao, J., Wang, T., Yatskar, M., Ordonez, V. & Chang, K. - W. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (2017), 2979–2989. -- 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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