June 2024 - Corpora - ELRA lists

Asia Pacific Journal of Corpus Research (APJCR) Vol. 4, No. 1 is now available online
by Prof CK Jung 04 Sep '24

04 Sep '24

*Asia Pacific Journal of Corpus Research (APJCR) is now available online:* http://icr.or.kr/ejournals-apjcr *The Incredible Shrinking Noun Phrase: Ongoing Change in Japanese Word Formation*Kevin Heffernan, (Kwansei Gakuin University), JAPAN; Yusuke Imanishi (Kwansei Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.1 ________________________________________ *Identifying Key Grammatical Errors of Japanese English as a Foreign Language Learners in a Learner Corpus: Toward Focused Grammar Instruction with Data-Driven Learning* Atsushi Mizumoto (Kansai University), JAPAN; Yoichi Watari (Chukyo University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.25 ________________________________________ *A Comparison of the Constructions Make / Take a Decision in Malaysian English with the Supervarieties * Christina Sook Beng Ong (Wawasan Open University), MALAYSIA DOI: https://doi.org/10.22925/apjcr.2023.4.1.43 ________________________________________ *Effects of Corpus Use on Error Identification in L2 Writing * Yoshiho Satake (Aoyama Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.61 --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Associate Professor | Department of English Language and Literature, Incheon National University, *South Korea* President | The Korea Association of Secondary English Education, *South Korea *(http://kasee.org) Vice President | The Korea Association of Primary English Education), *South Korea *(http://kapee.or.kr) Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR, *International* (http://icr.or.kr/apjcr) Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129 H(EN): http://ckjung.org

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BCS IRSG - call for one-day event proposals
by Tony Russell-Rose 22 Aug '24

22 Aug '24

CALL FOR ONE DAY EVENT PROPOSALS The Information Retrieval Specialist Group (IRSG) of the BCS invites proposals for the organisation of one day events supported by BCS. Proposals will be evaluated based on the organisational and financial plans and benefits to the Information Retrieval community. IMPORTANT DATES * Submission deadline for this round: 02-Aug-2024 * Notification: 16-Aug-2024 SUBMISSION GUIDELINES Proposals should be in PDF and include the following: * Title of the event * Chairs and organisers * Contact information * A description of the event topic and its goals * A statement on how the event complements or relates to other IR events * Proposed venue * Desired format, including preferred dates and duration, onsite or hybrid * Outline of the program (including talks, breaks, and any social events) * Potential (or accepted) speakers * Publicity plans * Funding plans and preliminary budget Organisers of accepted events are expected to announce the event and call for speakers, solicit speakers, compose the program, and organise the event. Evaluation criteria include topic significance and timeliness, scientific quality, proposed organisation, level of interest, and synergy with other events. Accepted events will be supported up to £1,000 and are expected to have a credible financial plan and budget. We anticipate holding further funding rounds in due course. Topics should be related to the theory and practice of information retrieval and interaction, such as: * Topical issues in IR practice, e.g. trust, bias, and fairness * Interdisciplinary topics, e.g IR and information science, data science, or user experience * The use (and abuse) of large language models and other AI techniques * Domain-specific or professional issues, e.g. in eCommerce, media, recruitment, library and information science, healthcare information, etc. * Innovative approaches used in operational IR systems and products Proposals and enquiries should be submitted via email to the IRSG Events Organiser and Chair (tgr2uk(a)gmail.com and Udo.Kruschwitz(a)ur.de) with "BCS One Day Event Proposal" in the email subject. ABOUT THE IRSG The IRSG is a Specialist Group of BCS. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG provides access to further IR articles, events and resources. For how to join the IRSG please see http://irsg.bcs.org, or contact the membership secretary at h.liu(a)soton.ac.uk. BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.

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COLING 2025 : [CFS] International Conference on Computational Linguistics - Call for System Demonstrations
by sakhar＠cs.columbia.edu 22 Aug '24

22 Aug '24

Call for System Demonstrations (COLING 2025) https://coling2025.org/calls/system_demonstrations/ Important Dates All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Submissions due September 30, 2024 Notifications November 21, 2024 Camera-ready (PDF) due December 1, 2024 Conference January 19-24, 2025 Invitation for Submission The COLING 2025 Demonstration Program Committee invites proposals for system demonstrations, which can range from early prototypes to mature systems. The demonstration program is part of the main conference program and aims at showcasing working systems that address a wide range of conference topics. The session will provide opportunities to exchange ideas gained from the practical implementation of NLP systems and to obtain feedback from expert users. All accepted demos are published in a companion volume of the conference proceedings. We expect at least one of the authors to present a live demo during a demo session at COLING 2025, with an accompanying poster. COLING 2025 will be held in Abu Dhabi from January 19th to 24th, 2025. The COLING conference has a history that dates back to the 1960s, and regularly attracts more than 700 delegates. The conference has developed into one of the premier Computational Linguistics (CL) and Natural Language Processing (NLP) conferences worldwide and is a major international event for the presentation of new research results and for the demonstration of new systems and techniques in the broad field of CL and NLP. Topics of Interest COLING 2025 solicits demonstrations on original and unpublished research on topics, including, but not limited to: Dialogue and Interactive Systems Discourse and Pragmatics Document Classification and Topic Modeling Ethics, Bias, and Fairness Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Modeling Language Resources and Evaluation Linguistic Insights Derived using Computational Techniques Linguistic Theories, Cognitive Modeling and Psycholinguistics Low-Resource and Efficient Methods for NLP Machine Learning for Computational Linguistics and NLP Machine Translation and Translation Aids Multilingualism and Language Diversity Multimodal and Grounded Language Acquisition NLP and LLM Applications (such as Education, Healthcare, Finance, Legal NLP, Computational Social Science, etc.) Natural Language Generation Offensive Speech Detection and Analysis Phonology, Morphology and Word Segmentation Question Answering Lexical Semantics Sentence-level Semantics (Textual Inference, Paraphrasing, etc) Sentiment Analysis, Stylistic Analysis, Opinion and Argument Mining Speech Recognition and Synthesis, and Spoken Language Understanding Summarization and Simplification Syntactic analysis (tagging, chunking, parsing) Vision and Robotics Papers targeting any of these topics from the perspective of the Sustainability Goals of the UN are especially welcome. Submitted systems may be of the following types: Natural Language Processing systems or system components Application systems using language technology components Software tools or API for computational linguistics research Software for evaluating natural language processing systems Software supporting learning or education Tools for data visualization and annotation Open-sourced large language models and their applications Development tools Please note: Commercial products and services are welcome; however, sales and marketing activities are not appropriate in the Demonstrations Program. Submissions The submissions should address the following questions: What problem does the proposed system address? Why is the system important and what is its impact? What is the novel in the approach/technology on which this system is based? Who is the target audience? How does the system work? How does it compare with existing systems? How is the system licensed? There are two parts to the submission, the paper and a video. Paper The maximum submission length is 6 pages, but with extra space for an optional ethics/broader impact statement (only necessary if you think you may want to preempt reviewer questions, given the conference’s ethics policy) and unlimited pages for references. Accepted papers will be given one additional page of content so that reviewers’ comments can be taken into account. Papers must be submitted in English and must conform to the official COLING 2025 templates available from the link below; the only acceptable format for submissions is PDF. Your paper does not need to be anonymous (see Reviewing Policy). Any papers that do not follow the official style guidelines and page limits will be automatically rejected. Video A short (max. 2 minutes) video demonstrating the system. This video will be used to evaluate the paper but won’t be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. Otherwise, a video of a user interacting with the system can be used. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video to YouTube or another website and include the link in your paper. If you prefer not to publicly upload a screencast, please submit the video (in MP4 format) as supplementary material when you submit your paper. How to Submit Submission and reviewing will be managed in the START system: https://softconf.com/coling2025/demosCL25/ Ethics COLING 2025 adopts the ACL Ethics Policy. Multiple Submission Policy Papers which are submitted to the COLING 2025 demo session cannot be under review for other conferences or journals at the same time, or for other tracks at COLING 2025 (e.g. the main session). In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. Submissions that violate these requirements will be desk rejected. Reviewing Policy Reviewing will be single-blind, so authors do not need to conceal their identity. The paper should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. Demo Session Chairs Contact email: coling2025demos(a)googlegroups.com Tilman Becker, Czech Institute of Informatics, Robotics, and Cybernetics Mark Dras, Macquarie University Brodie Mather, Florida Institute for Human & Machine Cognition

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AIWolfDial Shared Task 2024 @ INLG 2024 - First call for participation
by Yoshinobu Kano 22 Aug '24

22 Aug '24

Call for Participation Shared Task for the 2nd Workshop of AI Werewolf and Dialog System (AIWolfDial2024) at the 17th International Natural Language Generation conference (INLG 2024) # Summary Recent achievements of generation models, e.g. ChatGPT, are gathering greater attentions. However, there is still room to investigate LLMs could sufficiently able to handle coherent responses, longer contexts, common grounds, and logics. Werewolf is a social, hidden identity game that requires debate between players and coalition building. The goal of our AIWerewolf contest is to build an AI agent that is able to play this game against other AI. # Schedule Shared tasks July 28th, 2024 Registration August 4th, 2024 Preliminary run (self-match game) mid August, 2024 Formal run (multi-agent game) Workshop August 18th, 2024 Paper submission deadline (submissions should be via the Sontconf system, see our Call for Papers) August 25th, 2024 Notifications of the paper accpetance August 30th, 2024 Camera ready paper deadline Sep 24th, 2024 Workshop (planned in pm) in Tokyo Sep 23-27, 2024 INLG conference Our shared task is held as a part of our AIWolfDial 2024 workshop at INLG 2024 (17th International Natural Language Generation Conference), which will be held in Tokyo from September 23th to 27th. It is not mandatry for our shared task participants to attend the INLG 2024 conference, but encouraged to submit thier papers to the workshop. Please refer to our websites for the details including technical requirments: https://sites.google.com/view/aiwolfdial2024-inlg We have a seperate call for papers of our workshop. # Why AI Werewolf? Recent achievements of generation models, e.g. ChatGPT, are gathering greater attentions. However, such a huge language model would not be sufficiently able to handle coherent responses, longer contexts, common grounds, and logics. The AIWolfDial 2024 contest, which is an international open contest for automatic players of the conversation game "Mafia", requires players not just to communicate but to infer, persuade, deceive other players via coherent logical conversations, while having the role-playing non-task-oriented chats as well. We believe that this contest reveals current issues in the recent huge language models, showing directions of next breakthrough in the NLP area. From the viewpoint of Game AI area, players must hide information, in contrast to perfect information games such as chess or Reversi. Each player acquires secret information from other players' conversations and behavior and acts by hiding information to accomplish their objectives. Players are required persuasion for earning confidence, and speculation for detecting fabrications. Participants must build an artificial intelligence agent that can play the werewolf game as humans do, using natural language. Participant agents will be evaluated by a panel of judges, who will grade the subjective quality of the dialog generated by the agent, in addition to their win rates. Agents must communicate in Japanese or English. # Registration A team should send a mail to aiwolf [at] kanolab.net (replace at by @), describing your team name, a contact e-mail address, names and affiliations of its members (please mark a contact person when a team consists of multiple members), communication language (English and/or Japanese) of your agent, ssh public key and your preferred user name to connect to our game server. Registration is free. # System Evaluation Participants should submit a paper to the workshop, or a system design description document to the organizers. In addition to the win rates, reviewers will perform subjective evaluations on the game logs of a self-match games and multi-agent games, using following criteria: A Natural utterance expressions B Contextually natural conversation C Coherent (not contradictory) conversation D Coherent game actions (vote, attack, divine) with conversation contents E Diverse utterance expressions, including coherent characterization Please note that vague utterances that could be used regardless of context are not always natural in the werewolf game. The top-ranking teams will be awarded prizes and gifts from SpiralAI, a company developing its own LLM for colloquial multi-turn conversations. # Sponser Spiral.AI Inc, Japan # Organizers Organizers and Program Commitee: Yoshinobu Kano, Shizuoka University, Japan Claus Aranha, Tsukuba University Takashi Otsuki, Yamagata University, Japan Fujio Toriumi, The University of Tokyo, Japan Hirotaka Osawa, Keio University, Japan Daisuke Katagami, Tokyo Polytechnic University, Japan Michimasa Inaba, The University of Electro-Communications, Japan Kei Harada, The University of Electro-Communications, Japan Takeshi Ito, The University of Electro-Communications, Japan Local Organizers: Neo Watanabe, Shizuoka University, Japan Kaito Kagaminuma, Shizuoka University, Japan Yuto Sahashi, Shizuoka University, Japan On behalf of the AIWolf organizers, Yoshinobu Kano Associate Professor, Shizuoka University kano(a)inf.shizuoka.ac.jp

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PhD programs online?
by Mariana Romanyshyn 22 Aug '24

22 Aug '24

Dear community, Could you recommend any PhD programs in NLP, Responsible AI, or Interpretability that can be taken *online*? I have a very talented Master's student, Nazarii Drushchak <https://www.linkedin.com/in/nazarii-drushchak-bb46781a7/>, who'd like to pursue a PhD but cannot leave Ukraine due to the war. Thanks in advance! Kindest regards, Mariana

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CMC Corpora 2024, Sept. 5-6, 2024, Nice, France - early birds registrations closing soon
by Mathilde Guernut 22 Aug '24

22 Aug '24

*International Conference on CMC and Social Media Corpora for the Humanities* September 5-6, 2024, Université Côte d'Azur, Nice, France Dear all, The 11th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the Université Côte d'Azur, Nice, France in collaboration with the Consortium CORpus, Langues et Interactions (CORLI) and the laboratory Bases, Corpus, Langage (BCL) of the Université Côte d'Azur... ... And registrations are available here: https://dr20.azur-colloque.fr/inscription/fr/194/inscription We encourage you to register early to secure your spot and take advantage of early bird discounts - up until June 28th! We look forward to seeing you there! Warm regards, The organizing committee: Céline POUDAT (CORLI, BCL), Marie CHANDELIER (BCL), Mathilde GUERNUT (CORLI), Christophe PARISSE (CORLI), Minerva ROJAS (BCL), Simona RUGGIA (BCL) Conference website: https://cmc-corpora-nice.sciencesconf.org/

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AIWolfDial 2024 workshop @ INLG 2024 - First call for papers
by Yoshinobu Kano 22 Aug '24

22 Aug '24

-------------------------------------------------------------------------------------------- Call for Papers The 2nd International Workshop of AI Werewolf and Dialog System (AIWolfDial2024) Collocated with INLG 2024 conference, September 23-27, 2024, Tokyo, Japan https://sites.google.com/view/aiwolfdial2024-inlg -------------------------------------------------------------------------------------------- < Workshop aims > Recent achievements of generation models, e.g. ChatGPT, are gathering greater attentions. However, such a huge language model would not be sufficiently able to handle coherent responses, longer contexts, common grounds, and logics. The AIWolfDial 2024 contest is held as a part of this AIWolfDial2024 workshop. This is an international open contest for automatic players of the conversation game "Mafia", requires players not just to communicate but to infer, persuade, deceive other players via coherent logical conversations, while having the role-playing non-task-oriented chats as well. We believe that this contest reveals current issues in the recent huge language models, showing directions of next breakthrough in the NLP area. From the viewpoint of Game AI area, players must hide information, in contrast to perfect information games such as chess or Reversi. Each player acquires secret information from other players' conversations and behavior and acts by hiding information to accomplish their objectives. Players are required persuasion for earning confidence, and speculation for detecting fabrications. We call for papers which include following topics but not limited to: - AI werewolf agents for natural language and/or protocols - Natural language processing and LLMs for games - Corpora, resources, analysis on conversation games - Natural language processing for human relationships - Natural language processing for logic and strategy - Imperfect information game and natural language - Deceiving and persuasion by automatic agents - Evaluation of dialog systems using games < Important dates > August 18th, 2024 Paper submission deadline (submissions should be via the Sontconf system, see our Call for Papers) August 25th, 2024 Notifications of the paper accpetance August 30th, 2024 Camera ready paper deadline Sep 24th, 2024 Workshop (planned in pm) in Tokyo Sep 23-27, 2024 INLG conference < Submission > We call for short papers and long papers as same as the INLG main conference, both for shared task papers and papers in general. Please use the ACL format as specified in the INLG conference webpage. Submission site will open soon. < Website > https://sites.google.com/view/aiwolfdial2024-inlg < Shared task > Please refer to our call for participation sent separately, which is shown in our workshop website. < Committee > Contact E-mail to aiwolf at kanolab.net (replace at by @) # Organizers Organizers and Program Commitee: Yoshinobu Kano, Shizuoka University, Japan Claus Aranha, Tsukuba University Takashi Otsuki, Yamagata University, Japan Fujio Toriumi, The University of Tokyo, Japan Hirotaka Osawa, Keio University, Japan Daisuke Katagami, Tokyo Polytechnic University, Japan Michimasa Inaba, The University of Electro-Communications, Japan Kei Harada, The University of Electro-Communications, Japan Takeshi Ito, The University of Electro-Communications, Japan Local Organizers: Neo Watanabe, Shizuoka University, Japan Kaito Kagaminuma, Shizuoka University, Japan Yuto Sahashi, Shizuoka University, Japan On behalf of the AIWolf organizers, Yoshinobu Kano Associate Professor, Shizuoka University kano(a)inf.shizuoka.ac.jp

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DGfS Computational Linguistics Poster Session
by Annette Hautli-Janisz 22 Aug '24

22 Aug '24

CALL FOR ABSTRACTS The Annual Meeting of the German Society for Linguistics (https://dgfs.de/en/) features a poster session for presenting work in computational linguistics. We invite the submission of abstracts for the Computational Linguistics poster session of the 47th annual meeting of the German Linguistic Society (DGfS), hosted by the Johannes Gutenberg University Mainz. We invite submissions from all areas of computational linguistics and natural language processing, ranging from machine translation and information retrieval to speech and dialogue systems and cognitive modeling. 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 (https://dgfs.de/en/cl/general). Conference webpage: https://converia.uni-mainz.de/frontend/index.php?sub=167 DATES - Abstract submission due: October 25, 2024 - Notification of acceptance: November 8, 2024 - Short abstract (for conference website/brochure) due: November 15, 2024 - Conference dates: March 4-7, 2025 SUBMISSION Anonymous one-page abstract (A4) in PDF format (12pt). Submissions can be in German or English. Please submit your abstract via email to: annette.hautli-janisz(a)uni-passau.de

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NLP4CALL 2023 Final call for papers
by David Alfter 22 Aug '24

22 Aug '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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EMNLP 2024 - Call for Ethics Reviewing Volunteers
by ACL Announcements 22 Aug '24

22 Aug '24

Dear all, EMNLP 2024 organisers are committed to making EMNLP 2024 a huge success. As we commence the review process, we are looking for volunteers for ethics reviewing of EMNLP submissions. Please consider applying through 'https://docs.google.com/forms/d/e/1FAIpQLScLyoxN3CDIeUbQbluh4XQK38fg8AMMNqe…'. Everyone is welcome! We especially invite people from diverse geographical locations and demographic identities to ensure diversity of opinions in the review process.

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PostDoc Opening(s) in University of Rome Tor Vergata
by znzfms00＠uniroma2.it 22 Aug '24

22 Aug '24

Can you force a single-layer transformer with attention to emit a token given an input sequence? If you can, YOU are the right person to work with us! Drop me an e-mail. We are hiring up to two PostDocs with a competitive salary for Italian PostDoc standards (assegno di ricerca 4 fascia). Here's the challenge: UnboxingChallenge.pdf<https://uniroma2-my.sharepoint.com/:b:/g/personal/fabio_zanzotto_uniroma2_e…> Here's the supporting Excel file simulating a single-layer transformer with attention: Challenge_1.xlsx<https://uniroma2-my.sharepoint.com/:x:/g/personal/fabio_zanzotto_uniroma2_e…> Research Group: Human-centric ART Institution: University of Rome Tor Vergata Location: Rome Required: a PhD in CS or a competitive publications' record track Desired: Willingness to work in team To stay up-to-date: X: https://x.com/HumanCentricArt LinkedIn: www.linkedin.com/in/fabio-massimo-zanzotto-b027831<http://www.linkedin.com/in/fabio-massimo-zanzotto-b027831> Chek what we do: ‪Fabio Massimo Zanzotto‬ - ‪Google Scholar‬<https://scholar.google.com/citations?user=azv7Qr4AAAAJ&hl=en> Prof. Fabio Massimo Zanzotto Dipartimento di Ingegneria dell'Impresa "Mario Lucertini" University of Rome Tor Vergata

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2nd CFP: CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics
by Simonetta Montemagni 22 Aug '24

22 Aug '24

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 4 - 6 December 2024, Pisa, Italy https://clic2024.ilc.cnr.it/ This year marks the 10th anniversary of the Italian Conference on Computational Linguistics, CLiC-it! To commemorate this milestone, CLiC-it will be hosted in Pisa, just as it was in 2014. Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives. The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian. CLiC-it 2024 will be held in Pisa, from the 4th to the 6th of December. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- http://www.ai-lc.it/). Conference topics ----------------------------- CLiC-it 2024 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Paper Submission ----------------------- Submitted papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. CLiC-it 2024 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2024 Chairs as soon as possible. Papers may consist of up to five (5) pages of content, plus unlimited pages of acknowledgments, references and appendices. Upon acceptance, final versions of papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Papers will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (if applicable) - verifiability and ability to replicate (if applicable) Papers can be either in English or Italian, with the abstract in English. Accepted papers will be published on-line and will be presented at the conference either orally or as a poster. Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. Research Communications ---------------------------------- CLiC-it 2024 adopts a parallel submission policy for outstanding papers accepted in 2023 by major publication venues, namely the major international CL conferences (workshops excluded) or international journals. These contributions can be submitted to CLiC-it 2024 as short research communications. Research communications will not be published in the conference proceedings, they serve primarily to promote the dissemination of high-quality research within the Italian CL community. Submitted research communications must be in the scope of the CLiC-it 2024 conference. The authors of papers that meet the above criteria are invited to submit a written (maximum) one-page abstract of the original paper, including the paper’s title and authors as well as a pointer to the original conference or journal where the paper was published. If needed, research communications will undergo a selection process overseen by the conference chairs. Since these papers have already been reviewed, the selection criteria will primarily consider their original publication venue. Priority will be granted to papers that align most closely with the conference program, ensuring a balanced representation across various conference topics. Submission template and procedure —--------------------------------------------- The required template for CLiC-it submissions must be compatible with CEUR (https://ceur-ws.org/). You can download the conference-adapted version at the following links: LaTeX template: https://clic2024.ilc.cnr.it/wp-content/uploads/2024/06/CLiC-it-2024-templat… Word template: https://clic2024.ilc.cnr.it/wp-content/uploads/2024/06/CLiC_it_2024_templat… Should you encounter any issues with the compilation (as the CEUR template has historically presented some challenges and is not modifiable without risking exclusion from the proceedings), we provide a read-only Overleaf template (https://www.overleaf.com/read/sjxmxsssfvyb#c76746). This template can be accessed and cloned to help resolve any technical difficulties. Papers and research communications must be submitted through the START platform using the following link: https://softconf.com/p/clic-it2024 For research communications the appropriate track should be selected. Awards --------- To acknowledge the contribution of young researchers to the field, the title of "best paper" will be awarded to outstanding papers, provided that a Master's or PhD student is among the authors and presents the work at the conference. Recipients of this award will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field, AILC is also conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 Euros plus free membership to AILC for one year and free registration to the upcoming CLiC-it. The complete call is available on the conference website at: “Calls > AILC Master Thesis Award”. Invited Speakers --------- - Giosuè Baggio, Norwegian University of Science and Technology, Norway - Dieuwke Hupkes, Meta AI Research, Paris, France Important Dates --------------- - 15/07/2024: Paper submission deadline: regular papers and research communications - 23/09/2024: Notification to authors of reviewing/selection outcome - 21/10/2024: Camera ready version of accepted papers - 4-6/12/2024: CLiC-it 2024 Conference, Pisa People ------ Conference Chairs: - Felice Dell’Orletta (CNR-ILC) - Alessandro Lenci (University of Pisa) - Simonetta Montemagni (CNR-ILC) - Rachele Sprugnoli (University of Parma) Program Committee: - Dominique Brunato (CNR-ILC) - Cristiano Chesi (IUSS Pavia) - Roberta Claudia Combei (University of Pavia) - Diego Frassinelli (University of Konstanz) - Marco Guerini (Fondazione Bruno Kessler) - Gianluca Lebani (Ca’ Foscari University of Venice) - Alessandro Mazzei (University of Torino) - Johanna Monti (Orientale University of Naples) - Malvina Nissim (University of Groningen) - Debora Nozza (Bocconi University) - Lucia Passaro (University of Pisa) - Marco Polignano (University of Bari) - Roberto Zamparelli (University of Trento) - Fabio Massimo Zanzotto (University of Rome “Tor Vergata”) Local Organizing Committee: - Chiara Alzetta (CNR-ILC) - Serena Auriemma (University of Pisa) - Alessandro Bondielli (University of Pisa) - Luca Dini (CNR-ILC) - Chiara Fazzone (CNR-ILC) - Martina Miliani (University of Pisa) Proceedings Chairs: - Danilo Croce (University of Rome “Tor Vergata”) - Andrea Zaninello (FBK) Webmaster: - Alessio Miaschi (CNR-ILC) - Marta Sartor (CNR-ILC) Publicity Chair: - Sofia Brenna (Fondazione Bruno Kessler) Further information ------------------- - Conference website: https://clic2024.ilc.cnr.it/ - Mail: clicit2024(a)gmail.com - X: https://x.com/CLiC_it_conf -- Simonetta Montemagni Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC) - CNR Area della Ricerca di Pisa Via Moruzzi 1, 56124 Pisa, ITALY e-mail simonetta.montemagni(a)ilc.cnr.it direct tel. no +39 050 3152850 fax no. +39 050 3152839 cell. +39 349 7656651

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Second CfProposals: ESSLLI 2025, July 28 - August 8, 2025, Bochum (Germany)
by ESSLLI Publicity 22 Aug '24

22 Aug '24

36th European Summer School in Logic, Language and Information (ESSLLI 2025) July 28-August 8, 2025, Ruhr University Bochum, Germany https://2025.esslli.eu/ (Please note that the Website is not currently online, but will soon be.) Important Dates ========================= *July 10, 2024:* Deadline for submitting course/workshop titles *July 24, 2024:* Deadline for submitting course/workshop proposals *October 15, 2024:* Notification sent to course/workshop proposers Note that submitting a proposal requires that the person submitting it has an OpenReview profile. Profiles created without an institutional email may go through a moderation process that can take up to two weeks to be activated. Profiles created with an institutional email are activated automatically. Introduction ========================= Under the auspices of the Association for Logic, Language, and Information (FoLLI), the European Summer School in Logic, Language, and Information (ESSLLI) runs every year. Except for 2021, when the school was virtual, it runs in a different European country each year. It takes place over two weeks in the summer, hosts approximately 50 different courses at levels that run from foundational to introductory to advanced, and attracts around 400 participants from all over the world. Since 1989, ESSLLI has been providing outstanding interdisciplinary educational opportunities in the fields of Computer Science, Cognitive Science, Linguistics, Logic, Philosophy, and beyond. It comes from a community which recognizes that advances in our common areas require the contributions of multiple interrelated disciplines. The main focus of ESSLLI is the interface between linguistics, logic and computation, with special emphasis on human linguistic and cognitive ability. Courses, both introductory and advanced, cover a wide variety of topics within the combined areas of interest: Logic and Computation, Computation and Language, and Language and Logic. Workshops are also organized, providing opportunities for in-depth discussion of issues at the forefront of research, as well as a series of invited evening lectures. Topics and Format ========================= Proposals for courses and workshops at ESSLLI 2025 are invited in all areas of Logic, Linguistics and Computer Science. Cross-disciplinary and innovative topics are particularly encouraged. During submission you will be asked to select one of three tracks “Language and Computation (LaCo)”, “Language and Logic (LaLo)”, “Logic and Computation (LoCo)”. Each course and workshop will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week. Proposals for two-week courses should be structured and submitted as two independent one-week courses, e.g. as an introductory course followed by an advanced one. In such cases, the ESSLLI Program Committee reserves the right to accept just one of the two proposals. All instructional and organizational work at ESSLLI is performed completely on a voluntary basis, so as to keep participation fees to a minimum. However, organizers and instructors have their registration fees waived, and are reimbursed for travel and accommodation expenses up to a level to be determined and communicated with the proposal notification. ESSLLI can only guarantee reimbursement for at most one course/workshop organizer, and cannot guarantee full reimbursement of travel costs for lecturers or organizers from outside of Europe. The ESSLLI organizers would appreciate any help in controlling the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. Categories ========================= Each proposal should fall under one of the following categories. Foundational Courses ------------------------------------------- Such courses are designed to present the basics of a research area, to people with no prior knowledge in that area. They should be of elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to develop a level of comfort with the fundamental concepts and techniques of the course's topic, thereby contributing to the interdisciplinary nature of our research community. Introductory Courses ------------------------------------------- Introductory courses are central to ESSLLI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Such courses should enable researchers from related disciplines to develop some comfort and competence in the topic considered. Introductory courses in a cross-disciplinary area may presuppose general knowledge of the related disciplines. Advanced Courses ------------------------------------------- Advanced courses are targeted primarily to graduate students who wish to acquire a level of comfort and understanding in the current research of a field. Workshops ------------------------------------------- Workshops focus on specialized topics, usually of current interest. Workshop organizers are responsible for soliciting papers and selecting the workshop program. They are also responsible for publishing proceedings if they decide to have proceedings. Proposal Guidelines ========================= Course and workshop proposals should closely follow these guidelines to ensure full consideration. Course and Workshop proposals can be submitted by no more than two lecturers/organizers and can be presented by no more than these two lecturers/organizers. All instructors and organizers must possess a PhD or equivalent degree by the submission deadline. Course proposals should mention explicitly the intended course category. Proposals for introductory courses should indicate the intended level, for example as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals of Courses given at ESSLLI in the previous year will have a lower priority of being accepted in the current year. Proposals must be in PDF format and include all the following information: 1. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) 2. General proposal information: Title, category 3. Contents information: a. Abstract of up to 150 words b. Motivation and description (up to two pages) c. Tentative outline d. Expected level and prerequisites e. Appropriate references (e.g. textbooks, monographs, proceedings, surveys) 4. Information required of course proposers: a. Will the course appeal to students outside of the main discipline of the course? b. What experience does the proposer have in presenting an intensive one-week interdisciplinary setting? c. What evidence is there that the course proposer is an excellent lecturer? 5. Information required of workshop organizers: a. Information on relevant preceding meetings and events, if applicable b. Information about potential external funding for participants. Submission Information ========================= By *July 10, 2024*, proposers are asked to submit at least the name(s) of the instructor(s), the ESSLLI area+course level and a title and short abstract for the proposed course/workshop. By *July 24, 2024*, course proposers must complete their submission by uploading a PDF with the actual proposal as detailed above. Submission Portal ========================= Please* submit your proposals to* https://openreview.net/group?id=ESSLLI.eu/2025/Summer_School_Proposals Note that submitting a proposal requires that the person submitting it has an OpenReview profile. Profiles created without an institutional email may go through a moderation process that can take up to two weeks to be activated. Profiles created with an institutional email are activated automatically. EACSL Sponsorship ================= The EACSL will support one Logic and Computation course or workshop addressing topics of interest to Computer Science Logic (CSL) conferences. The selected course or workshop will be designated an EACSL course/workshop in the programme. If you wish to be considered for this, please indicate it in your proposal. Organizing Committee ========================= Tatjana Scheffler (Ruhr University Bochum, chair) Maria Berger (Ruhr University Bochum) Maike Buchin (Ruhr University Bochum) Daniel Gutzmann (Ruhr University Bochum) Stephanie Heimgartner (Ruhr University Bochum) Kristina Liefke (Ruhr University Bochum) Hannah Seemann (Ruhr University Bochum) Christian Straßer (Ruhr University Bochum) Katharina Turgay (Ruhr University Bochum) Thomas Zeume (Ruhr University Bochum) Program Committee ========================= Balder ten Cate (ILLC, University of Amsterdam, chair) Daniel Gutzman (Ruhr University of Bochum, local co-chair) Area Chairs Language and Computation (LaCo) ------------------------------------------- - Nicholas Asher (IRIT/CNRS Toulouse) - Martha Lewis (ILLC, University Amsterdam) - Valerio Basile (University of Turin) Area Chairs Language and Logic (LaLo) ------------------------------------------- - Daniel Altshuler (Oxford University) - Elin McCready (Aoyama Gakuin University) - Judith Tonhauser (University of Stuttgart) Area Chairs Logic and Computation (LoCo) ------------------------------------------- - Luca Reggio (University College London) - Leopoldo Bertossi (Skema Business School & Carleton University) - Anupam Das (University of Birmingham) Publicity Chair: Søren Knudstorp (ILLC, University of Amsterdam) ESSLLI Steering Committee ========================= Jakub Szymanik (University of Trento) (chair) Magdalena Ortiz (TU Wien) Roman Kuznets (TU Wien) (secretary) Mehrnoosh Sadrzadeh (University College London) Lonneke van der Plas (Idiap Research Institute)

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SUBMISSION DEADLINE EXTENDED: ICNLSP 2024, 7th International Conference on Natural Language and Speech Processing
by Mourad Abbas 22 Aug '24

22 Aug '24

*Submission DEADLINE Extended* *Important dates* *Submission deadline: **30 June 2024 11:59 PM (GMT) * *08 July 2024 11:59 PM (GMT)* *Notification of acceptance:* 15 September 2024 *Camera-ready paper due:* 25 September 2024 *Conference dates:* 19, 20 October 2024 We are delighted to invite you to ICNLSP 2024 <https://www.icnlsp.org/2024welcome/>, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024 (*HYBRID*). *Topics* - Signal processing, acoustic modeling. - Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.). - Speech Analysis. - Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.). - Spoken Dialog Systems and Conversational Analysis - Speech Translation. - Speech synthesis. - Speaker verification and identification. - Language identification - Speech coding. - Speech enhancement - Speech intelligibility - Speech Perception - Speech Production - Brain studies on speech - Phonetics, phonology and prosody. - Speech and hearing disorders. - Paralinguistics of pathological speech and language. - Speech technology for disordered speech/hairing. - Cognition and natural language processing. - Machine translation. - Text categorization. - Summarization. - Sentiment analysis and opinion mining. - Computational Social Web. - Arabic dialects processing. - Under-resourced languages: tools and corpora. - Large language models. - Arabic OCR. - NLP tools for software requirements and engineering. - Knowledge fundamentals. - Knowledge management systems. - Information extraction. - Data mining and information retrieval. - Lexical semantics and knowledge representation. - Requirements engineering and NLP. - NLP for Arabic heritage documents. *Submission* Papers must be submitted via the link: https://cmt3.research.microsoft.com/ICNLSP2024/ <https://cmt3.research.microsoft.com/ICNLSP2024/> Each submitted paper will be reviewed by three program committee members.The reviewing process is double-blind. Authors can use the *ACL format*: *Latex <https://www.icnlsp.org/ACL%202023%20Proceedings%20Template.zip>*or Word. Authors have the choice to submit their papers as a full or short paper . Long papers consist of up to 8 pages of content + references. Short papers, up to 4 pages of content + references. *Publication* *1- All accepted papers will be published in **ACL Anthology <https://aclanthology.org/>**.* *2- Selected papers will be published (after extension) in:* * 2-a-* A *SPECIAL ISSUE* <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> of Machine Learning and Knowledge Extraction Journal <https://www.mdpi.com/journal/make> (MAKE), indexed in *Web of Science <https://mjl.clarivate.com/search-results>*, *Scopus* <https://www.scopus.com/sources.uri>, etc. *Special issue title*: <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>*Knowledge Graphs and Large Language Models. <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>* * 2-b-* Signals and Communication Technology (Springer), indexed in *Scopus* <https://www.scopus.com/> and *zbMATH* <https://zbmath.org/>.

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CFP: TRANSLATING AND THE COMPUTER CONFERENCE 2024 (TC46) – Call for Presentations and Papers
by amalhaddad 22 Aug '24

22 Aug '24

TRANSLATING AND THE COMPUTER CONFERENCE 2024 (TC46) - CALL FOR PRESENTATIONS AND PAPERS "NAVIGATING THE FUTURE OF LANGUAGE: INNOVATION, INTEGRATION, INSPIRATION" https://asling.org/tc46/call-for-papers-cfp/ Embracing innovation in language technologies - From AI to traditional practices -, TC46 welcomes submissions on a broad spectrum of topics related to language technologies in the provision of language services. While there is a special emphasis on the advancements and implications of AI and Generative AI, we strongly encourage contributions that cover a wide range of interests and perspectives in the language services field. Whether you are deeply involved in AI-driven projects or are focused on traditional or emerging practices independent of AI, your insights are invaluable. * Deadline for submitting proposals for full length talks (academic and user-experience) and short/Poster talks for TC46 is extended to 15 July * Deadline for submitting proposals for workshops and panels is extended to 15 August https://asling.org/tc46/call-for-papers-cfp/ Kind regards, Amal Haddad

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Postdoctoral researcher in computational linguistics with a focus on grounding language in computer vision and robotics, application deadline: 15 August
by Simon Dobnik 22 Aug '24

22 Aug '24

[apologies for x-posting] We are looking for a postdoctoral researcher in computational linguistics and/or natural language processing to work on the project "Beyond pixels and words: language technology generation and understanding of spatial language in interaction" (2023-01552) funded by the Swedish Research Council (VR). Application deadline on August 15, 2023 23:59 (CEST, UTC+2) Project description: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… (English) and https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… (Swedish) and from my personal page (coming soon) I am looking for candidates with a strong background in computational linguistics, natural language processing (or neighbouring fileds such computer vision and robotics) and machine learning, ideally with experience of computational semantics, language modelling and working with multi-modal representations. Best regards, Simon — Simon Dobnik Professor of Computational Linguistics CLASP & FLoV, University of Gothenburg https://www.gu.se/en/about/find-staff/simondobnik

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[CfP] Diversity and Change in Easy German @ DGfS 2025
by lena.wieland＠uni-saarland.de 22 Aug '24

22 Aug '24

CfP: Diversity and Change in Easy German (Workshop at DGfS 2025) Date: March 5-7, 2025 Location: University of Mainz, Germany Meeting Email: workshop-easy-german-dgfs2025(a)uni-saarland.de<mailto:workshop-easy-german-dgfs2025@uni-saarland.de> Website: https://sfb1102.uni-saarland.de/vielfalt-und-wandel-in-leichter-sprache/ Linguistic Field(s): Applied Linguistics, Computational Linguistics, Psycholinguistics Language Family: Germanic Call Deadline: August 18, 2024 Shortened Workshop Description: Easy German, which has been systematically developed since the 2000s to aid individuals with learning difficulties among others, focuses on enhancing text comprehensibility by avoiding linguistic complexity. Despite its intended uniformity, there is a lack of consensus on its precise conceptualization, with various frameworks and guidelines proposing different approaches. This workshop aims to: 1. Provide a platform for researchers to discuss the production and evolution of Easy German texts. 2. Highlight dynamic changes and variability in Easy German texts compared to Standard German. 3. Examine the cognitive processing of Easy German through psycholinguistic studies involving the target demographic. 4. Critically assess AI-driven systems for Easy German text production, exploring their implications, opportunities, and challenges. For further information, please visit the workshop website: https://sfb1102.uni-saarland.de/vielfalt-und-wandel-in-leichter-sprache/ Organizers: Ingo Reich (Saarland University, Germany) Heike Zinsmeister (University of Hamburg, Germany) Sarah Jablotschkin (University of Hamburg, Germany) Lena Wieland (Saarland University, Germany) Invited Speakers: Bettina Bock (University of Cologne) Ted Sanders (Utrecht University) Call for Papers: We invite contributions on all aspects of Easy German and easy-to-read variants in other Germanic languages. The workshop will include a small poster session, and submissions for both talks and posters are welcome. Contributions in English are preferred, but submissions in German are also accepted. * Submission Details: * Abstract submission deadline: August 18, 2024 * Abstracts should be submitted to workshop-easy-german-dgfs2025(a)uni-saarland.de<mailto:workshop-easy-german-dgfs2025@uni-saarland.de> * Abstracts should not exceed one page (DIN A4, 2.5 cm margins, 12pt font) * Examples, graphics, or references may be included on a second page Important Workshop Information: The workshop is part of the 47th annual meeting of the German Linguistic Society (DGfS 2025) at Johannes Gutenberg University Mainz. Participants must register for the DGfS conference and pay the conference fee. For more information, visit http://dgfs.uni-mainz.de<http://dgfs.uni-mainz.de/>. Important Dates: Deadline for abstract submission: August 18, 2024 Notification of acceptance: September 2, 2024 Workshop dates: March 5-7, 2025 -- Lena Wieland SFB 1102, Project T1 – Information Density and Linguistic Encoding in “Leichte Sprache” Universität des Saarlandes Campus A2.2 Raum 3.12 D-66123 Saarbrücken T: +49 681 302 57543 www.uni-saarland.de/fakultaet-p/nds/team/wieland<https://www.uni-saarland.de/fakultaet-p/nds/team/wieland.html>

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Call for Participation - CoLI-Dravidian@FIRE 2024: Word-level Code-Mixed Language Identification in Dravidian Languages
by Sabur B 29 Jun '24

29 Jun '24

****We apologize for multiple postings of this e-mail**** CALL FOR PARTICIPATION FIRE 2024 Task - CoLI-Dravidian: Word-level Code-Mixed Language Identification in Dravidian Languages Held as a shared task in the 16th meeting of Forum for Information Retrieval Evaluation (FIRE 2024 <http://fire.irsi.org.in/fire/2024/home>) December 12-15, 2024. DAIICT, Gandhinagar, India Website: https://sites.google.com/view/coli-dravidian-2024/datasets?authuser=0 Codalab link: https://codalab.lisn.upsaclay.fr/competitions/19357 Dear All, We are inviting researchers and students to participate in the shared task CoLI-Dravidian: Word-level Code-Mixed Language Identification in Dravidian Languages, which is held as a shared task in the 16th meeting of Forum for Information Retrieval Evaluation (FIRE 2024 <http://fire.irsi.org.in/fire/2024/home>). Language Identification (LI) involves detecting the language(s) used in a given text, which is a preliminary step for many applications such as sentiment analysis, machine translation, information retrieval, and natural language understanding. In multilingual India, especially among the youth, social media often features code-mixed text, blending local languages with English at various levels. However, this poses significant challenges for LI, particularly when languages are mixed within a single word. Dravidian languages, extensively spoken in southern India, are under-resourced despite their rich morphological structure. These languages face technological challenges, especially in script representation on digital platforms, leading users to prefer Roman or hybrid scripts for communication. This prevalent code-mixing offers vast linguistic data for research yet remains understudied. To address word-level LI challenges in code-mixed Dravidian languages, we are conducting a shared task by providing code-mixed datasets for four languages - Kannada, Tamil, Malayalam, and Tulu, to encourage the development of advanced LI models. There will be a real-time leaderboard, and the participants will be allowed to make a maximum of 10 submissions in the training phase and 5 submissions in the testing phase through CodaLab. Each team will have to select the best submission for ranking. To download the data and participate, go to: https://codalab.lisn.upsaclay.fr/competitions/19357. Best regards, The CoLI-Dravidian 2024 Organizing Committee Important dates - 14th June 2024 - open track websites and training data release - 1st July 2024– test data release - 25th July – run submission deadline - 27th July – results declared - 27th August – Working notes due - 10th September - Reviews - 30th October – Camera-ready copies of working notes NOTE: All dates mentioned here are in the AoE (Anywhere on Earth) zone. Organizing Committee - Shashirekha Hosahalli Lakshmaiah, Department of Computer Science, Mangalore University, India. - Ameeta Agrawal, Department of Computer Science, Portland State University, USA. - Fazlourrahman Balouchzahi, CIC, IPN, Mexico. - Asha Hegde, Department of Computer Science, Mangalore University, India. - Sabur Butt, IFE, Tecnologico de Monterrey, Mexico. - Sharal Coelho, Department of Computer Science, Mangalore University, India. - Kavya G, Department of Computer Science, Mangalore University, India. - Harshitha, Department of Computer Science, Mangalore University, India. - Sonith D, Department of Computer Science, Mangalore University, India. *Sabur Butt, Ph.D. *(He/Him) Institute for the Future of Education (IFE) *Tecnológico de Monterrey, Mexico* Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L. LinkedIn <https://www.linkedin.com/in/saburb> - GitHub <https://github.com/saburbutt> - Scholar <https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website <https://saburbutt.github.io/>

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AthensNLP Summer School: applications deadline 1st JULY
by Georgios Moschovis 28 Jun '24

28 Jun '24

Call for Participation EXTENDED to Monday 1 July for the Athens Natural Language Processing Summer School! Applications: https://athnlp.github.io/2024/cfp.html Summer School dates: 19-15 September 2024 in Athens.

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LxGr2024: Call for Participation: one week to register [corrected]
by Costas Gabrielatos 26 Jun '24

26 Jun '24

[Reposting with the correct link to the symposium programme] 9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) 5-6 July 2024. Online. Attendance is free. Registration closes in one week: https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… Symposium programme: https://sites.edgehill.ac.uk/lxgr/lxgr202<https://sites.edgehill.ac.uk/lxgr/lxgr2023>4 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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LxGr2024: Call for Participation: one week to register
by Costas Gabrielatos 26 Jun '24

26 Jun '24

9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) 5-6 July 2024. Online. Attendance is free. Registration closes in one week: https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… Symposium programme: https://sites.edgehill.ac.uk/lxgr/lxgr2023 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 Second Austrian Meeting on Digital Linguistics
by Claudia Posch Gmail 25 Jun '24

25 Jun '24

Call: Second Austrian Meeting on Digital Linguistics Digital linguistics is a growing interdisciplinary field at the intersection of linguistics, information technology, and the social sciences. This is reflected by the growing number of new projects, publication series, and university courses. A central focus of digital linguistics is language data, i.e., digital artifacts that use human language as a form of expression. The range of this language data includes social media content, parliamentary transcripts, newspapers and medieval manuscripts, among others. Such data is processed, annotated, analyzed, curated, shared, archived, and reused, among other activities. Therefore, the topics covered in this workshop span from the creation of digital language resources (corpora, dictionaries, etc.) and their analysis (e.g., semantic change detection, emotion and sentiment analysis), to the use of standards and research infrastructures, as well as methods for long-term archiving or reuse of language data. The variety of research in this field in Austria was shown during the first Austrian Meeting on Digital Linguistics and the previous Austrian Meetings on Sentiment Inferenz (ÖTSI 2021, 2023), where 37 researchers from different Austrian and international research institutions presented their projects. This year’s workshop “Second Austrian Meeting on Digital Linguistics” is a follow-up of these workshops. Again, the aim of the workshop is to highlight recent developments in the Austrian research landscape and to connect different projects working with or on methods in digital linguistics, as well as the researchers involved. The workshop aims to facilitate the exchange of methodological insights and the creation of synergies through the mutual sharing of digital language resources, also within the framework of the research infrastructure CLARIAH-AT. Furthermore, the workshop also addresses international researchers, who are working in the field of digital linguistics and who want to present their research and exchange and connect with the Austrian research community. *Submissions* Abstracts (approx. 400 words, in PDF format) for presentations (20 minutes, in German or English) on topics related to digital linguistics can be submitted until September 15, 2024, to the following email address digital-linguistics(a)uibk.ac.at. All submissions will be reviewed by at least 2 workshop organizers. https://clariah.at/de/news/call-second-austrian-meeting-on-digital-linguist… <https://clariah.at/de/news/call-second-austrian-meeting-on-digital-linguist…> (Deutsch) https://clariah.at/en/news/call-second-austrian-meeting-on-digital-linguist… <https://clariah.at/en/news/call-second-austrian-meeting-on-digital-linguist…> (English) *Travel cost support* Upon acceptance of the abstract, travel cost support can be provided by CLARIAH-AT if needed. *Workshop organizers* Tanja Wissik, Austrian Academy of Sciences, tanja.wissik(a)oeaw.ac.at Karlheinz Mörth, Austrian Academy of Sciences, Karlheinz.Moerth(a)oeaw.ac.at Andreas Baumann, University Wien, andreas.baumann(a)univie.ac.at Julia Neidhardt, TU Wien, julia.neidhardt(a)tuwien.ac.at Claudia Posch, University Innsbruck, claudia.posch(a)uibk.ac.at Gerhard Rampl, University Innsbruck, gerhard.rampl(a)uibk.ac.at

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[CfP] LaCATODA 2024 at PRICAI 2024, Kyoto, Japan (Linguistic and Cognitive Approaches to Dialog Agents)
by Ptaszynski Michal 24 Jun '24

24 Jun '24

** Sorry for cross-postings ** This is Michal Ptaszynski from KIT, Japan. We are organizing LaCATODA workshop at PRICAI in Kyoto this year. Please, consider sending a paper. :) Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Text Information Processing Laboratory, Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp ========================================================== The Ninth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2024) (PRICAI 2024 Workshop) https://sites.google.com/view/lacatoda2024 Venue: Kyoto, Japan & online (in conjunction with PRICAI 2024, https://www.pricai.org/2024/) ========================================================== Short Description: A multidisciplinary workshop for researchers who develop more sophisticated dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. Workshop Goals: The more human-like machine intelligence engineers develop, the more important is for them to be familiar with advances in fields traditionally focusing on humans — ethics, psychology, linguistics, or cognitive science. In the age of data explosion, advancing hardware and more powerful learning algorithms, it has been becoming obvious that we need to study mechanisms underlying what we call a natural dialog, how we track a conversation or what we remember. It is not enough to pay attention what information is conveyed but also how it is conveyed. For this reason we extend topics to knowledge-related topics to seek answers to questions like how an utterance can become harmful, amusing, beautiful or interesting. We aim to gather AI researchers who realize that in spite of current popularity of GenAI "chatbots", they are not really dialog systems and it is necessary to extend existing and propose new algorithms to perform natural conversation. We will call for papers regarding research not only on the latest trends but also on revisiting classic studies related to dialog and understanding, as the AI developments allow to utilize theories that had focused on human interaction and understanding in the past. The workshop intends to spark an interdisciplinary discussion on affect in dialog understanding and generation tasks. ------------------------------------------------------------------ Important Dates: Paper Submission deadline: August 18th, 2024 (11:59PM UTC-12:00, "anywhere on Earth") Acceptance notification: September 18th, 2024 Camera ready deadline: October 1st, 2024 LaCATODA 2024 Workshop: 19 November 2024 Submission: https://easychair.org/conferences/?conf=lacatoda2024 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Affect-related knowledge acquisition - Artificial assistants and tutors - Artificial General Intelligence - Attention and focus in dialog processing - Common sense knowledge and reasoning - Computational cognition - Daily life assistants - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for dialog - Text mining for dialog - Persona and user modeling - Philosophy of emotions in communication - Preference models - Retrieval-based dialog systems - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland Siaw-Fong Chung, National Chengchi University, Taiwan Jordi Vallverdú, Autonomous University of Barcelona, Spain

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Shared Task: Biomedical Translation at WMT'24
by Roland Roller 24 Jun '24

24 Jun '24

Dear all, We invite you to participate in this year's biomedical machine translation task at WMT'24 at EMNLP. Our task aims to evaluate the translation quality of scientific documents from the biomedical domain. The test data consists of biomedical abstracts, and it will address the following language pairs: English-French and French-English (en/fr, fr/en) English-German and German-English (en/de, de/en) English-Italian and Italian-English (en/it, it/en) English-Portuguese and Portuguese-English (en/pt, pt/en) English-Russian and Russian-English (en/ru, ru/en) English-Spanish and Spanish-English (en/es, es/en) *Evaluation*: Evaluation will be carried out both automatically and manually. The automatic evaluation will use standard machine translation metrics. In addition, native speakers of each language will manually check the quality of the translation for a small sample of the submissions. If necessary, we also expect participants to support us in the manual evaluation (according to the number of submissions). *Important dates* Release of test data June 27th, 2024 Results submission deadline July 4th, 2024 Paper submission deadline TBA (follows EMNLP) Paper notification TBA (follows EMNLP) Camera-ready version due TBA (follows EMNLP) Conference EMNLP 12-13 November 2024 More information: https://www2.statmt.org/wmt24/biomedical-translation-task.html Best regards, the organizers

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Postdoctoral reasearcher in LLM at IRFM (Institute for Magnetic Fusion Research) at CEA Cadarache, France
by feda.almuhisen＠cea.fr 24 Jun '24

24 Jun '24

You will be recruited to work on the Eurofusion project "Towards Tokamak operations Conversational AI Interface Using Multimodal Large Language Models" All the details are availbel in the following link : https://www.emploi.cea.fr/offre-de-emploi/emploi-postdoctoral-reasearcher-i…

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[CIKM-2024] Deadline extension for Industry Day Papers
by antonela.tommasel＠isistan.unicen.edu.ar 22 Jun '24

22 Jun '24

** NEW DEADLINE ** ** Industry Day deadline June 27th ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-industry-day-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. 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 ‘24 Call for Papers are used in an industrial setting. Possible topics include how machine learning is put to use in practical scenarios, how user behavior can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimized, 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. -------------------------- Key Dates -------------------------- * Submissions Due: June 20th, 2024 * Notifications: July 16, 2024 * Camera ready for abstracts: August 8, 2024 (All deadlines are at 11:59 pm AOE) The Industry Day of CIKM ’24 will be held on Monday 21st Oct 2024 in Boise, Idaho, USA. -------------------------- Topics of Interest -------------------------- 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 products * 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 We encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Paper Submissions -------------------------- 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 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. Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=cikm2024 The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceedings. Each presentation will be 15-20 minutes long including Q&A. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Industry Day chairs: cikm2024-industry [at] easychair [dot] org Ilaria Bordino, UniCredit, Italy Udayan Khurana, IBM Research, USA Marc Najork, Google DeepMind, USA

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Fully unded PhD position for project: “Can a robot impersonate a human? Studying machines’ ability to mimic linguistic identity”
by Andrea Nini 21 Jun '24

21 Jun '24

Dear colleagues, I’m pleased to announce that we are recruiting a PhD student for a fully-funded (tuition and stipend) position for the project: “Can a robot impersonate a human? Studying machines’ ability to mimic linguistic identity” funded by an ESRC North West Social Science Doctoral Training Partnership grant. The position is in collaboration with Naimuri<https://naimuri.com> and contains a substantial element of industrial experience. The project will address the following research questions: (1) To what extent can LLMs impersonate a specific individual such that they can fool forensic linguistic detection? (2) How do we modify existing detection methods to mitigate the problems identified in (1)? Details and application form can be found here: https://www.findaphd.com/phds/project/can-a-robot-impersonate-a-human-study…. Best wishes, Andrea ___ Dr Andrea Nini | Senior Lecturer in Linguistics and English Language NG13, Samuel Alexander Building, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK +44 (0) 161 275 8529 | andrea.nini(a)manchester.ac.uk<mailto:andrea.nini@manchester.ac.uk> www.andreanini.com<http://www.andreanini.com>

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2nd CfP: StaGe-Shared Task @ KONVENS 2024
by Regina Stodden 21 Jun '24

21 Jun '24

We invite the community to participate in a text labelling Shared Task regarding the segmentation of statements in German Easy Language (STaGE), co-located at KONVENS 2024 [1] in Vienna, Austria. For more information, visit: https://german-easy-to-read.github.io/statements or https://www.codabench.org/competitions/3244/ [2] Motivation: Assessing the complexity of sentences is still an object of ongoing research. One aspect of sentence complexity is the number of statements. Knowing the different statements conveyed in a sentence is important for numerous NLP tasks, such as extracting the different statements to further simplify the original sentence by separating it into statement-reduced sentences. Another use case is in-depth fact-checking of the isolated statements or the readability evaluation of the text in accordance with Easy Languages guidelines. However, for German, there exists no implementation to extract statements automatically. Our shared task aims to analyze and annotate the number of statements in German Easy language (DE: "Leichte Sprache") texts. We have decided on German Easy Language, since this language variety recommends the usage of sentences with a reduced number of statements. Therefore, it profits from the results and automated analysis implemented in our task. Important dates: * 14.06.2024: Start evaluation 1st phase: Development * 28.06.2024: Start evaluation 2nd phase: Final * 12.07.2024: End evaluation (last submissions possible) * 12.07.2024: Paper submission due (single-blind) * 26.07.2024: Acceptance notification * 02.08.2024: Camera-ready due * 13.09.2024: Workshop date Feel free to contact us via statements(a)soc.cit.tum.de We are looking forward to your participation! Best regards, Miriam Anschütz, Thorben Schomacker & Regina Stodden Links: ------ [1] https://konvens-2024.univie.ac.at/ [2] https://www.codabench.org/competitions/3244/

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Global WordNet Conference 2025 First Call for Papers
by Itziar Gonzalez Dios 21 Jun '24

21 Jun '24

[ Apologies for crossposting ] *Global WordNet Conference 2025 - GWC2025* The Global Wordnet Association is delighted to announce the *13th International Global Wordnet Conference* (GWC2025), to be held in *Pavia (Italy) from 27 to 31 January, 2025*. The GWC2025 conference will be hosted by the Department of Humanities, at the University of Pavia. [image: 📍] *Dates*: 27-Jan-2025 - 31-Jan-2025 *Location*: Pavia, Italy *Meeting Email*: gwc2025pavia(a)unipv.it *Web Site*: https://unipv-larl.github.io/GWC2025/ [image: 🗓️] *Call Deadline*: 07-Oct-2024 We invite submissions of original research contributions addressing, though not limited to, the topics listed below. *Presentations of new WordNets *will be assigned to a dedicated panel. Additionally, proposals for tutorials and demonstrations or panel discussions on *WordNet for ancient languages* are encouraged. Conference topics: - Lexical semantics and meaning representation; - Architecture of lexical databases; - Tools and methods for WordNet development; - Applications of WordNet; - Standardization, distribution and availability of WordNet and WordNet tools See the full call for papers here: https://easychair.org/cfp/gwc2025

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PhD student contract in Natural Language Processing - Nancy, France
by Mathieu Constant 20 Jun '24

20 Jun '24

You can find below an offer for a PhD student contract in Natural Processing at Univ. of Lorraine, Nancy, France. Subject: Automatic generation of explanations for multiword expressions in the context of language learning Thesis supervisors: Mathieu Constant (ATILF, Univ. Lorraine, France) and Patrick Watrin (CENTAL, Univ. of Louvain, Belgium) Thesis funded for three years by the ANR STAR-FLE project Start date: 1 October 2024 Salary: 2135,00 € gross monthly Host laboratory: ATILF (Computer Processing and Analysis of the French Language) Location: Nancy, France Application deadline: July 11, 2024 Scientific background: The successful candidate will join the ATILF, a research unit in language sciences, and in particular the research group on natural language processing (NLP). This research group works, among other things, on exploiting recent NLP models for linguistic modelling (e.g. lexical modelling) with applications in the medical field and language learning. In particular, its work is based on the integration of large (generative) language models and knowledge bases (e.g. scientific textual data, lexical resources). More specifically, the thesis will be part of the STAR-FLE project (STrategic Adaptations for better Reading and Text Comprehension in FFL) funded by the Agence Nationale de la Recherche for 4 years (2024-2027). The project is in the field of computer-assisted language teaching. The aim of STAR-FLE is to gain a better understanding of the difficulties encountered by learners of French as a foreign language (FFL) when faced with the lexicon present in authentic texts. It will propose digital solutions based on natural language processing (NLP) to facilitate text comprehension and enable teachers to better manage heterogeneous levels in the classroom. Contextual aids and personalized vocabulary adaptations are envisaged, particularly for multiword expressions. Objectives: The thesis will focus on multiword expressions. They correspond to combinations of several lexical units which are composed in an irregular manner on one or more linguistic levels (morphology, syntax, semantics, etc.). This term covers a wide variety of phenomena, such as idiomatic expressions (run around in circles, dry run), support verb constructions (take a walk), complex functional units (in spite of), etc. This non-compositionality, which can lead to a certain semantic opacity, can pose problems for learners when reading. In this thesis, the person recruited will develop methods based on new NLP techniques to produce in-context explanatory card enabling learners to better understand these expressions. The production of these cards will be based on the prediction of linguistic properties (e.g. a dry run is not dry), on the generation of natural language explanations using large generative language models (e.g. paraphrases), or on semantic linking to different lexical resources (e.g. to retrieve definitions and lexical neighbors), depending on the context in which the expression occurs. One of the challenges will be to propose explanatory cards adapted to the learner's level. Application requirements and procedures Candidates should have the following skills and profiles: - a Master's degree in computational linguistics, in natural language processing, in computer science or in cognitive science. - very good programming skills - very good skills in recent models of natural language processing (e.g. large language models). Applications should include a cover letter, CV and Master's grades, together with references or one or more letters of recommendation. They should be submitted at the following url: https://emploi.cnrs.fr/Offres/Doctorant/UMR7118-SABMAR-020/Default.aspx?lan… <https://emploi.cnrs.fr/Offres/Doctorant/UMR7118-SABMAR-020/Default.aspx?lan…> For more information, do not hesitate to contact Mathieu Constant (Mathieu.Constant(a)univ-lorraine.fr <mailto:Mathieu.Constant@univ-lorraine.fr>).

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Practical D2T 2024 @ INLG 2024 - First call for papers (data-to-text, neuro-symbolic, shared task)
by Simone Balloccu 20 Jun '24

20 Jun '24

The 2nd Workshop on Practical LLM-assisted Data-to-Text Generation (Practical D2T 2024) While large language models (LLMs) offer to become a viable alternative to traditional rule-based data-to-text (D2T) natural language generation (NLG), they still suffer from well-known neural model issues, such as lack of controllability and risk of producing harmful text. There are many potential solutions to this problem up for discussion. The Practical D2T workshop at INLG 2024 aims to build a space for researchers to discuss and present innovative work on D2T systems using LLMs. Building upon the 2023 edition’s hackathon, Practical D2T 2024 opens up a broader range of activities, including a special track for neuro-symbolic D2T approaches and a shared task in D2T evaluation focused on semantic accuracy. Website: https://practicald2t.github.io/ Practical D2T 2023 at INLG 2023: https://practicald2t.github.io/2023/ Workshop Topic and Content Practical D2T 2024 will be a full-day in-person-only event. We welcome contributions from both original unpublished work and non-archival submissions, in the form of long (8 pages) or short (4 pages) papers, on topics including but not limited to: - Design, implementation and evaluation of LLM-assisted D2T systems - Cross-domain adaption of LLMs for D2T - User perceptions and acceptance of LLM-generated text in D2T - Bias, fairness and red-teaming issues in LLM-assisted D2T systems - Leveraging LLMs for D2T in low-resource languages and domains - Error analysis and debugging techniques for LLM-assisted D2T - Human-in-the-loop approaches for improving LLM-assisted D2T - Comparison between LLM-assisted D2T and traditional symbolic approaches Special Track: Neuro-Symbolic D2T Research is currently seeing a renewed interest in developing systems combining neural and symbolic approaches to improve explainability and reduce dependence on training data. Practical D2T 2024 will feature a special track on neuro-symbolic approaches to D2T. Submissions for papers in the special track follow the same requirements and procedure as the main workshop submissions. Shared task: Improving Semantic Accuracy in LLM-assisted D2T This year will feature a shared task on improving semantic accuracy of D2T systems. Participants will build an LLM-assisted D2T system to generate textual reports from various domains, such as weather forecasting, product descriptions or sports reports. We will provide testing data obtained from public APIs, to limit potential previous exposure to the used LLMs. We encourage participants to focus on system robustness and objective evaluation, rather than metrics scores. Because of this, participants will receive an initial evaluation script, that they are encouraged to change/improve. All submitted system’s outputs will be evaluated against every submitted custom evaluation, and correlated with human ratings. The system reaching the highest correlation with humans will be declared winner of the competition. Results and participants’ system descriptions will be featured in the workshop proceedings. For more info, visit the workshop website: https://practicald2t.github.io/pages/cfp Important dates Note: all deadlines are 23:59 UTC-12. - Evaluation script and data release for known domains (shared task) 24 June - Regular paper submission (main & special track, archival & non-archival): 22 July - Known domains system output submission & surprise domain data release: 29 July - Surprise domain system outputs submission: 5 August - System description submission (shared task): 12 August - Notification of acceptance (main, special track and shared task): 19 August - Camera-ready (main, special track and shared task): 28 August - Workshop: 23/24 September (to be announced) Contacts and more info: Find detailed information about submission, deadlines and contacts on the official Practical D2T 2024 website: https://practicald2t.github.io/ For any query, contact the organiser at d2t2024(a)googlegroups.com If you have any problem with the above mail group, contact balloccu(a)ufal.mff.cuni.cz Organisers Simone Balloccu, Ondřej Dušek, Patrícia Schmidtová, Zdeněk Kasner, Kristýna Onderková, Ondřej Plátek, Mateusz Lango, Ondřej Dušek - Charles University (CZ) Ehud Reiter - University of Aberdeen (UK) Lucie Flek - University of Bonn (DE) Simon Mille - ADAPT Centre (UK) Dimitra Gkatzia - Edinburgh Napier University (UK)

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ArgNLE: Natural Language Argument-Based Explanations - Workshop at ECAI 2024
by elena_cabrio 20 Jun '24

20 Jun '24

*Call for Papers: *The First Workshop on Natural Language Argument-Based Explanations (ArgNLE - https://argnle.github.io/ECAI-ArgNLE/) Co-located with ECAI 2024 (https://www.ecai2024.eu/). Universidad de Santiago de Compostela, Spain. *Workshop description* Explainability and Computational Argumentation have usually been approached as separate, independent research topics, which neglects many aspects arising from considering the interdependencies between them. To be effective for human users, explanations are required to be formulated in natural language, possibly in an argumentative fashion. A workshop on exploring Natural language Argument-based Explanations is proposed to investigate this challenging topic, at the crossroad of these different research fields. Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a proper level of generality/specificity of the explanation; considering assumptions about the familiarity of the explanation beneficiary with the AI task under consideration; referring to specific elements that have contributed to the decision; making use of additional knowledge (e.g., metadata) which might not be part of the prediction process; selecting appropriate examples; providing evidence supporting negative hypothesis. Finally, the system needs to formulate the explanation in a clearly interpretable, and possibly convincing, way. Given these considerations, the workshop welcomes contributions showing an integrated vision of Explainable AI (XAI), where low level characteristics of the deep learning process are combined with higher level schemas proper of the human argumentation capacity. These integrated vision relies on three main considerations: i) In neural architectures the correlation between internal states of the network and the justification of the network classification outcome is not well studied; ii) High quality explanations are crucially based on argumentation mechanisms (e.g., provide supporting examples and rejected alternatives); iii) In real settings, providing explanations is inherently an interactive process involving the system and the user. Accordingly, the workshop calls for cross-disciplinary contributions in three areas, i.e., deep learning, argumentation and interactivity, to support a broader and innovative view of explainable AI. More precisely, the workshop is intended to discuss research challenges that will allow to advance the state of the art in explainable AI. Providing explanations to support a certain conclusion has been largely studied in logic, as a fundamental characteristic of human reasoning. As a result, both theoretical and computational models of human argumentation are investigated. The recent resurgence of AI highlighted the idea that low level system behaviors not only need to be interpretable (e.g., showing those elements that most contributed to the system decision), but also need to fit high level human schemas to produce convincing arguments. ** *Topics of interest* * Natural language argument-based explanations * Dialectical, dialogical and conversational explanations * AI methods to support argumentative explainability * User-acceptance and evaluation of argumentation-based explanations * Tools that provide argumentation-based explanations * Use of argument-based explanations for research from the social sciences, digital humanities, and related fields * Real-world applications The workshop solicits the submission of three types of contributions relevant to the workshop topics and suitable to generate discussion: * Original, unpublished contributions * Dataset related submissions (presenting a dataset or a corpus related to the workshop topics, that has been or is currently under development. These papers may have already been published in another venue). * Projects related submissions (presenting funded projects or lines of work within the topics of the workshop, both academic and industrial). *Invited speaker* Professor Francesca Toni, Faculty of Engineering, Department of Computing, Imperial College London, UK. (https://www.imperial.ac.uk/people/f.toni) *Important Dates * * Paper submission: 31 May 2024 * Notification of acceptance: 1 July 2024 * Camera-ready papers: 31 July 2024 * ArgNLE workshop: 19 or 20 October 2024 *Submission Instructions *Papers must be written in English, be prepared for double-blind review using the ECAI LaTeX template, and not exceed 7 pages (not including references). The ECAI LaTeX Template can be found at https://ecai2024.eu/download/ecai-template.zip. Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=argnle2024 *Workshop Organizers:* * Rodrigo Agerri <https://ragerri.github.io/> - HiTZ Center - Ixa, University of the Basque Country UPV/EHU, Spain * Elena Cabrio <https://www-sop.inria.fr/members/Elena.Cabrio/> - Université Côte d’Azur, Inria, CNRS, I3S, France * Serena Villata <https://webusers.i3s.unice.fr/~villata/Home.html> - Université Côte d’Azur, Inria, CNRS, I3S, France * Marcin Lewinski <https://ifilnova.pt/en/people/marcin-lewinski/> - IFILNOVA, Universidade Nova de Lisboa, Portugal * Bernardo Magnini <http://hlt.fbk.eu/people/magnini> - Fondazione Bruno Kessler, Italy * Marie-Francine Moens <https://people.cs.kuleuven.be/~sien.moens/> - KU Leuven, Belgium

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Final call: 3-years PhD/PostDoc position on NLP for Social Good at Leibniz University Hannover (due June 23)
by h.wachsmuth＠ai.uni-hannover.de 20 Jun '24

20 Jun '24

The Institute of Artificial Intelligence invites applications for the position of a DOCTORAL OR POSTDOCTORAL RESEARCHER (M/F/D) ON THE TOPIC OF NATURAL LANGUAGE PROCESSING (NLP) FOR SOCIAL GOOD (SALARY SCALE 13 TV-L, 100%) starting in September 2024 or soon afterwards. The position is limited to a period of three years with the possibility of extension. TASKS The goal of the offered position is to carry out innovative research on NLP, aiming for scientific publications at reputed international venues. The research should involve LARGE LANGUAGE MODELS (LLMs) related to NLP FOR SOCIAL GOOD. We support the development of own research directions in this broad context. The position also comes with a teaching duty of four hours per week; the candidate is expected to lead tutorials and/or programming labs as well as to support the supervision of bachelor's and master’s students. We are looking for highly motivated candidates with a passion for creativity and learning who seek to make a positive impact through open and independent research in a young team. YOUR PROFILE - Completed academic degree (Master or comparable) in computer science, computational linguistics, artificial intelligence, or related disciplines - Solid understanding of machine learning with hands-on experience, ideally in the context of NLP and LLMs - Proficient programming skills in Python - Good scientific writing skills (for example, shown by a very good master’s thesis) are expected - Strong communication skills in English, both in oral and in written form TEAM The position will be placed in the NLP Group at the Institute of Artificial Intelligence. We are a diverse and international team, studying how humans express their views and intentions in language, and how LLMs can understand and create such language in a fair, trustworthy, and explainable way. Our research tackles interdisciplinary questions from the humanities and social sciences, while building on state-of-the-art NLP techniques, such as instruction fine-tuning and contrastive learning. We seek to do cutting-edge research on artificial intelligence methods that have a positive impact on society and the world. OUR OFFER - Creative and innovative work in a diverse and international team - Possibility to obtain a Ph.D. degree or to shape your Postdoc profile - State-of-the-art research facilities, including top-notch computing clusters - Participation in international scientific events and research collaborations - Salary at the level of 100% of salary scale 13 according to the Collective Agreement for the Public Service of the Länder (TV-L) D&I Leibniz University Hannover considers itself a family-friendly university and therefore promotes a balance between work and family responsibilities. Part-time employment can be arranged upon request. The university aims to promote equality between women and men. For this purpose, the university strives to reduce under-representation in areas where a certain gender is under-represented. Women are under-represented in the salary scale of the advertised position. Therefore, qualified women are encouraged to apply. Moreover, we welcome applications from qualified men. Preference will be given to equally-qualified applicants with disabilities. QUESTIONS In case you have questions, please contact Maja Stahl (email: m.stahl(a)ai.uni-hannover.de). Further information about the NLP Group can be found at: https://www.ai.uni-hannover.de/en/institute/research-groups/nlp For information on the salary scales, see: https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023&matrix… APPLICATION Please submit your application with supporting documents (including CV, full set of transcripts, a brief statement of at most 1 page of why you apply to the NLP Group, and possibly further qualifications) by June 23, 2024 as A SINGLE PDF FILE to Email: office(a)ai.uni-hannover.de (subject: “[ai-nlp] Application”) or alternatively by post to: Gottfried Wilhelm Leibniz Universität Hannover Institute of Artificial Intelligence Prof. Dr. Henning Wachsmuth Welfengarten 1, 30167 Hannover Germany http://www.uni-hannover.de/jobs Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis-bewerbungen/.

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LxGr2024: Call for Participation
by Costas Gabrielatos 19 Jun '24

19 Jun '24

9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) 5-6 July 2024. Online. Attendance is free. Symposium programme: https://sites.edgehill.ac.uk/lxgr/lxgr2023 Registration is now open: https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… If you have any questions, or if you want to be added to the LxGr mailing list, 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 PAPERS: KGLLM 2024 : Special session on Knowledge Graphs and Large Language Models, 19-20 October 2024
by Mourad Abbas 19 Jun '24

19 Jun '24

KGLLM 2024 : Special session on Knowledge Graphs and Large Language Models Oct 19, 2024 - Oct 19, 2024 Trento, Italy Link: https://www.icnlsp.org/2024welcome/#special_session The Special session on Knowledge Graphs and Large Language Models will be held within the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024 <https://www.icnlsp.org/2024welcome/>) on October 19, 2024. ** DESCRIPTION ** “In recent years, the fields of Knowledge Graphs (KGs) and Large Language Models (LLMs) have witnessed remarkable advancements, revolutionizing the landscape of artificial intelligence and natural language processing. KGs, structured representations of knowledge, and LLMs, powerful language models trained on vast amounts of text data, have individually demonstrated their prowess in various applications. However, the integration and synergy between KGs and LLMs have emerged as a new frontier, offering unprecedented opportunities for enhancing knowledge representation, understanding, and generation. This integration not only enriches the semantic understanding of textual data but also empowers AI systems with the ability to reason, infer, and generate contextually relevant responses. ** TOPICS ** This special session aims to delve into the theoretical foundations, historical perspectives, and practical applications of the fusion between Knowledge Graphs and Large Language Models. We invite contributions that explore the following areas: 1- Theoretical Frameworks: Papers elucidating the theoretical underpinnings of integrating KGs and LLMs, including methodologies, algorithms, and models for knowledge-enhanced language understanding and generation. 2- Historical Perspectives: Insights into the evolution of KGs and LLMs, tracing their development trajectories, seminal works, and transformative milestones leading to their integration. 3- Design and Implementation: Research articles focusing on the design principles, architectures, and techniques for effectively combining KGs and LLMs to facilitate tasks such as information retrieval, question answering, knowledge inference, and natural language understanding. 4- Explanatory Capabilities: Explorations into how the fusion of KGs and LLMs enables the development of explainable AI systems, providing transparent and interpretable insights into model decisions and outputs. 5- Human-Centered Intelligent Systems: Studies examining the design and deployment of interactive AI systems that leverage KGs and LLMs to facilitate seamless human- computer interaction, catering not only to experts but also to a broader lay audience. We encourage submissions that contribute to advancing our understanding of the synergistic relationship between Knowledge Graphs and Large Language Models, fostering interdisciplinary collaborations across computer science, artificial intelligence, linguistics, cognitive science, and beyond. By shedding light on this burgeoning area of research, this special session aims to propel the field forward and inspire future innovations in AI-driven knowledge representation and natural language processing.” ** SESSION ORGANIZERS ** Gérard Chollet, CNRS-SAMOVAR Institut Polytechnique de Paris, France. Hugues Sansen, Institut Polytechnique de Paris, France. ** IMPORTANT DEADLINES ** Submission deadline: 30 June 2024 11:59 PM (GMT) Notification of acceptance: 15 September 2024 Camera-ready paper due: 25 September 2024 ** PUBLICATION ** The accepted papers will be included in the ICNLSP Conference proceedings which will be published in ACL anthology. The extended versions will be published in a special issue of the Machine Learning and Knowledge Extraction Journal (MAKE), indexed in Web of Science, Scopus, etc. ** CONTACT ** icnlsp(at)gmail(dot)com

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PhD position, Grenoble, Structural Biases for Semantic Prediction, 3 years
by maximin coavoux 19 Jun '24

19 Jun '24

Title: Structural Biases for Compositional Semantic Prediction # Scientific context Compositionality is a foundational hypothesis in formal semantics and states that the semantic interpretation of an utterance is a function of its parts and how they are combined (i.e. their syntactic structure). In NLP, the current dominant paradigm is to design end-to-end models with no intermediate linguistically interpretable representations, which is often motivated by the fact that pretrained language models implicitly encode latent syntactical representations. However, recent studies suggest that the syntactic information learned by language models are insufficient and that, in their current form, they are unable to exploit the syntactic information provided in their input when they need to generate a structured output. Strikingly, most systems that obtained decent results on compositional generalization benchmarks either (i) include some data augmentation methods that increase the exposure of the model to diverse syntactic structures at training time, or (ii) resort to a natural language parser and hand-crafted rules to derive the semantic representation from the syntactic tree. These two approaches are efficient, but they still have limitations that need to be addressed. Firstly, data augmentation bypasses the issue altogether, is tied to a particular dataset or task and requires additional computation, both for generating new data and for re-training or fine-tuning models. Secondly, approach (ii) leaves the seq2seq framework for a more conceptually complex framework, and often uses architectures that are tied to specific data or tasks. In contrast, we believe that with proper built-in inductive biases, a seq2seq model might provide a simple, yet effective solution to the structural compositionality issue. # PhD Proposal The goal of this PhD wil be to explore inductive biases related to linguistic structures, in an attempt to build small NLP models with compositional skills, i.e. models with built-in knowledge making them able to infer generalization rules from few data points. Research directions will be defined together with the successful applicant (who is encouraged to bring their own ideas!) and may include: - Learning invariant language representations. A risk of learning from little data or rare phenomena is that a model may rely on spurious correlations and be unable to generalize outside a specific context. Developing representations that are invariant to noise has been proposed as a way of improving generalization (Peyrard et al 2022). We propose to formalize invariants related to syntactic and semantic structures and explore ways to integrate them during the training phase. - Syntactically constrained decoders. Unlike parsers, Seq2seq models are unable to generate structures unseen at train time. We propose to explore the use of structural constraints to guide decoding in seq2seq models. # Important information: - Starting date: between September and December 2024 (duration 3 years) - Place of work: Laboratoire d’Informatique de Grenoble, CNRS, Grenoble, France - Funding: ANR project ''COMPO: Inductive Biases for Compositionality-capable Deep Learning Models of Natural Language'’ (2024-2028) - Partners: Université Paris Cité, Université Aix-Marseille, Université Grenoble Alpes - The PhD will be supervised by Éric Gaussier and Maximin Coavoux, and in close collaborations with other partners from the COMPO consortium, the PhD candidate will be part of 2 teams of the LIG: GETALP and APTIKAL. - Salary: ~2300€ gross/month - Profile: Master’s degree in NLP, computer science, experience in NLP and machine learning To apply, please send cv, cover letter and most recent academic transcripts to eric.gaussier(a)univ-grenoble-alpes.fr and maximin.coavoux(a)univ-grenoble-alpes.fr References: SLOG: A Structural Generalization Benchmark for Semantic Parsing Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim <https://aclanthology.org/2023.emnlp-main.194/> Structural generalization is hard for sequence-to-sequence models Yuekun Yao, Alexander Koller <https://aclanthology.org/2022.emnlp-main.337/> Compositional Generalization Requires Compositional Parsers Pia Weißenhorn, Yuekun Yao, Lucia Donatelli, Alexander Koller <https://arxiv.org/abs/2202.11937> Invariant Language Modeling Maxime Peyrard, Sarvjeet Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West <https://aclanthology.org/2022.emnlp-main.387/>

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2nd CALL FOR PAPERS: ICNLSP 2024, 7th International Conference on Natural Language and Speech Processing
by Mourad Abbas 19 Jun '24

19 Jun '24

We are delighted to invite you to ICNLSP 2024 <https://www.icnlsp.org/2024welcome/>, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024 (*HYBRID*). *Topics* - Signal processing, acoustic modeling. - Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.). - Speech Analysis. - Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.). - Spoken Dialog Systems and Conversational Analysis - Speech Translation. - Speech synthesis. - Speaker verification and identification. - Language identification - Speech coding. - Speech enhancement - Speech intelligibility - Speech Perception - Speech Production - Brain studies on speech - Phonetics, phonology and prosody. - Speech and hearing disorders. - Paralinguistics of pathological speech and language. - Speech technology for disordered speech/hairing. - Cognition and natural language processing. - Machine translation. - Text categorization. - Summarization. - Sentiment analysis and opinion mining. - Computational Social Web. - Arabic dialects processing. - Under-resourced languages: tools and corpora. - Large language models. - Arabic OCR. - NLP tools for software requirements and engineering. - Knowledge fundamentals. - Knowledge management systems. - Information extraction. - Data mining and information retrieval. - Lexical semantics and knowledge representation. - Requirements engineering and NLP. - NLP for Arabic heritage documents. *Submission* Papers must be submitted via the link: https://cmt3.research.microsoft.com/ICNLSP2024/ <https://cmt3.research.microsoft.com/ICNLSP2024/> Each submitted paper will be reviewed by three program committee members.The reviewing process is double-blind. Authors can use the *ACL format*: *Latex <https://www.icnlsp.org/ACL%202023%20Proceedings%20Template.zip>*or Word. Authors have the choice to submit their papers as a full or short paper. Long papers consist of up to 8 pages of content + references. Short papers, up to 4 pages of content + references. *Important dates* *Submission deadline:* *30 June 2024 11:59 PM (GMT*) *Notification of acceptance:* 15 September 2024 *Camera-ready paper due:* 25 September 2024 *Conference dates:* 19, 20 October 2024 *Publication* *1- All accepted papers will be published in **ACL Anthology <https://aclanthology.org/>**.* *2- Selected papers will be published (after extension) in:* * 2-a-* A *SPECIAL ISSUE* <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> of Machine Learning and Knowledge Extraction Journal <https://www.mdpi.com/journal/make> (MAKE), indexed in *Web of Science <https://mjl.clarivate.com/search-results>*, *Scopus* <https://www.scopus.com/sources.uri>, etc. *Special issue title*: <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>*Knowledge Graphs and Large Language Models. <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>* * 2-b-* Signals and Communication Technology (Springer), indexed in *Scopus* <https://www.scopus.com/> and *zbMATH* <https://zbmath.org/>.

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Shared Task on Quality Estimation at WMT'24
by Fred Blain 19 Jun '24

19 Jun '24

Dear all, we are happy to invite you to participate in the Shared Task on Quality Estimation at WMT'24. The details of the task can be found at: https://www2.statmt.org/wmt24/qe-task.html New this year: * We introduce a new language pair (zero-shot): English-Spanish * Continuing from the previous edition, we will also analyse the robustness of submitted QE systems to a set of different phenomena which will span from hallucinations and biases to localized errors, which can significantly impact real-world applications. * We also introduce a new task, seeking not only to detect but also to correct errors: Quality-aware Automatic Post-Editing! We invite participants to submit systems capable of automatically generating QE predictions for machine-translated text and the corresponding output corrections. 2024 QE Tasks: Task 1 -- Sentence-level quality estimation This task follows the same format as last year but with fresh test sets and a new language pair: English-Spanish. We will test the following language pairs: * English to German (MQM) * English to Spanish (MQM) * English to Hindi (MQM & DA) * English to Gujarati (DA) * English to Telugu (DA) * English to Tamil (DA) More details: https://www2.statmt.org/wmt24/qe-subtask1.html Task 2 -- Fine-grained error span detection Sequence labelling task: predict the error spans in each translation and the associated error severity: Major or Minor. We will test the following language pairs: * English to German (MQM) * English to Spanish (MQM) * English to Hindi (MQM) More details: https://www2.statmt.org/wmt24/qe-subtask2.html Task 3 -- Quality-aware Automatic Post-editing We expect submissions of post edits correcting detected error spans of the original translation. Although the task is focused on quality-informed APE, we also allow participants to submit APE output without QE predictions to understand the impact of their QE system. Submissions w/o QE predictions will also be considered official. We will test the following language pairs: * English to Hindi * English to Tamil More details: https://www2.statmt.org/wmt24/qe-subtask3.html Important dates: 1. Test sets will be released on July 15th. 2. Participants can submit their systems by July 23rd on codalab. 3. System paper submissions are due by 20th August [aligned with WMT deadlines]. Note: Like last year, we aligned with the General MT and Metrics shared tasks to facilitate cross-submission on the common language pairs: English-German, English-Spanish, and English-Hindi (MQM). We look forward to your submissions and feel free to contact us if you have any more questions! Best wishes, on behalf of the organisers.

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Full-Time Research Assistant (PhD-level) in AI & NLP for Mental Health
by jishaoxiong＠gmail.com 19 Jun '24

19 Jun '24

The original post is here: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2021_associate… Are you passionate about making a difference in the field of mental health through cutting-edge research in AI and Natural Language Processing? Do you have a strong background in computer science, data science, or a related field? If so, we invite you to join our dynamic and interdisciplinary team at the Technical University of Darmstadt! Position: Full-Time Research Assistant (i.e., doctoral candidate or PhD student) Duration: 1.10.2024 or soon afterward - 31.12.2027 with the possibility of extension. Location: Department of Computer Science, Technical University of Darmstadt Responsibilities: - Conduct cutting-edge research in NLP with a focus on mental health applications. - Focus on research topics, such as NLP and knowledge discovery for mental health, large language models for clinical applications, and multimodal clinical data analysis. - Develop and implement algorithms for analyzing therapist-patient conversations. - Collaborate with a diverse team of researchers from TU Darmstadt and other partner institutions. Ecosystem: We are part of DYNAMIC, the newly approved interdisciplinary LOEWE-funded center “Dynamic Network Approach of Mental Health to Stimulate Innovations for Change.” Our mission is to advance the understanding and treatment of mental health disorders using AI, NLP, and multimodal data analysis. Team: Dr. Shaoxiong Ji (https://www.helsinki.fi/~shaoxion/) will join TU Darmstadt this fall and establish a junior independent research group focusing on foundation models and their applications, such as healthcare. He has a wide range of research directions, including NLP for health, multilingual LLMs, and learning methods such as federated learning, multitask learning, and meta-learning. The newly established research group will closely collaborate with the research labs led by Prof. Iryna Gurevych and Prof. Kristian Kersting, and partners under the umbrella of the DYNAMIC project. Qualifications: - A Master’s degree in Computer Science, Data Science, AI, NLP, or a related field. - Strong programming skills in Python or other relevant languages. - Experience with deep learning frameworks - Excellent problem-solving abilities and a passion for research. - Previous experience in clinical NLP or multimodal data analysis is a plus but not required. - Strong communication skills and the ability to work effectively in a collaborative environment. What We Offer: - An exciting opportunity to contribute to impactful research in mental health. - A supportive and collaborative research environment. - Opportunities for professional development and growth within the DYNAMIC project and beyond. How to Apply: If you are enthusiastic about joining our team and contributing to groundbreaking research, please submit the following documents: - Detailed CV - Master’s degree certificates and the Bachelor and Master study transcripts - Cover letter outlining your motivation and relevant experience - Contact information for at least two academic or professional references Please send your application to Shaoxiong Ji <shaoxiong.ji(a)outlook.com> by July 31st, 2024. After that, the positions will remain open until filled. We will consider applications as soon as they are submitted. Join us in making a real-world impact on mental health through the power of AI and NLP!

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Shared task on Multilingual Grammatical Error Correction (MultiGEC-2025)
by Arianna Masciolini 18 Jun '24

18 Jun '24

Shared task on Multilingual Grammatical Error Correction (MultiGEC-2025) We invite you to participate in the shared task on Multilingual Grammatical Error Correction, MultiGEC-2025, covering over 10 languages, including Czech, English, Estonian, German, Icelandic, Italian, Latvian, Slovene, Swedish and Ukrainian. The results will be presented on March 5 (or 2), 2025, at the NLP4CALL workshop, colocated with the NoDaLiDa conference (https://www.nodalida-bhlt2025.eu/conference) to be held in Estonia, Tallinn, on 2--5 March 2025. The publication venue for system descriptions will be the proceedings of the NLP4CALL workshop. Official system evaluation will be carried out on CodaLab. * TASK DESCRIPTION In this shared task, your goal is to rewrite learner-written texts to make them grammatically correct or both grammatically correct and idiomatic, that is either adhering to the "minimal correction" principle or applying fluency edits. For instance, the text > My mother became very sad, no food. But my sister better five months later. can be corrected minimally as > My mother became very sad, and ate no food. But my sister felt better five months later. or with fluency edits as > My mother was very distressed and refused to eat. Luckily, my sister recovered five months later. For fair evaluation of both approaches to the correction task, we will provide two evaluation metrics, one favoring minimal correction, one suited for fluency-edited output (read more under Evaluation). We particularly encourage development of multilingual systems that can process all (or several) languages using a single model, but this is not a mandatory requirement to participate in the task. * DATA We provide training, development and test data for each of the languages. The training and development dataset splits will be made available through Github. Evaluation will be performed on a separate test set. See website for more detailed information: https://github.com/spraakbanken/multigec-2025/ * EVALUATION During the shared task, evaluation will be based on cross-lingually applicable automatic metrics, primarily: - GLEU score (reference-based) - Scribendi score (reference-free) For comparability with previous results, we will also provide F0.5 scores. After the shared task, we also plan on carrying out a human evaluation experiment on a subset of the submitted results. * TIMELINE (preliminary) - June 18, 2024 - first call for participation - September 20, 2024 - second call for participation - October 20, 2024 - third call for participation. Training and validation data released, CodaLab opens for team registrations - October 30, 2024 - reminder. Validation server released online - November 13, 2024 - test data released - November 20, 2024 - system submission deadline (system output) - November 29, 2024 - results announced - December 20, 2024 - paper submission deadline with system descriptions - January 20, 2025 - paper reviews sent to the authors - February 7, 2025 - camera-ready deadline - March 5 (or March 2), 2025 - presentations of the systems at the NLP4CALL workshop * PUBLICATION We encourage you to submit a paper with your system description to the NLP4CALL workshop special track. We follow the same requirements for paper submissions as the NLP4CALL workshop, i.e. we use the same template and apply the same page limit. All papers will be reviewed by the organizing committee. Upon paper publication, we encourage you to share models, code, fact sheets, extra data, etc. with the community through GitHub or other repositories. * ORGANIZERS - Arianna Masciolini, University of Gothenburg, Sweden - Andrew Caines, University of Cambridge, UK - Orphee De Clecrq, Ghent university, Belgium - Murathan Kurfali, Stockholm University, Sweden - Ricardo Muñoz Sánchez, University of Gothenburg, Sweden - Elena Volodina, University of Gothenburg, Sweden - Robert Östling, Stockholm University, Sweden * DATA PROVIDERS (more languages to come) - Czech: Alexandr Rosen, Charles University, Prague - English: Andrew Caines, University of Cambridge - Estonian: -- Mark Fishel, University of Tartu, Estonia -- Kais Allkivi-Metsoja, Tallinn University, Estonia -- Kristjan Suluste, Eesti Keele Instituut, Estonia - German: -- Torsten Zesch, Fernuniversität in Hagen, Germany -- Andrea Horbach, Fernuniversität in Hagen, Germany - Icelandic: Isidora Glisič, University of Iceland - Italian: Jennifer-Carmen Frey, Eurac Research Bolzano, Italy - Latvian: - Roberts Darģis, University of Latvia - Ilze Auzina, University of Latvia - Slovene: Špela Arhar Holdt, University of Ljubljana, Slovenia - Swedish: Arianna Masciolini, University of Gothenburg, Sweden - Ukrainian: -- Oleksiy Syvokon, Microsoft and -- Mariana Romanyshyn, Grammarly * CONTACT Please join the MultiGEC-2025 Google group (https://groups.google.com/g/multigec-2025) in order to ask questions, hold discussions and browse for already answered questions.

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Job Opening at Veeva - Medical NLP team - Senior/Principal Data Scientist (Remote)
by Ehsan Khoddam Mohammadi 18 Jun '24

18 Jun '24

Join Veeva Systems , a pioneer in cloud solutions for the life sciences industry, as a Senior/Principal Data Scientist focusing on NLP. Your role will primarily involve developing LLM-based agents that are specialized in searching and extracting detailed information about Key Opinion Leaders (KOLs) in the healthcare sector. You will craft an end-to-end human-in-the-loop pipeline to sift through a large array of unstructured medical documents—ranging from academic articles to clinical guidelines and meeting notes from therapeutic committees. You will also collaborate with over 2000 data curators and dedicated team of software developers and DevOps engineers to refine these models and deploy them into production environments. *What You'll Do* - Adopt the latest technologies and trends in NLP to your platform - Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval. - Experience with Reinforcement Learning from Human Feedback (RLHF) methods such as Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) for training LLMs based on human preferences. - 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, metrics, and perform qualitative and quantitative evaluation - 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 *Application Links* You can work remotely anywhere in the UK, The Netherlands or Spain and you have to be a resident of one of the aforementioned countries and be legally authorized to work there without requiring Veeva’s support for 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.* Spain: https://jobs.lever.co/veeva/2bf92570-a680-40e8-96b0-a8629e3feac7 <https://jobs.lever.co/veeva/61dc60d9-c888-4636-836e-2a75ff9f0567>UK: https://jobs.lever.co/veeva/f0e989b5-9d14-4f82-baaa-2fc56a76ba16 <https://jobs.lever.co/veeva/f0e989b5-9d14-4f82-baaa-2fc56a76ba16> Netherlands: https://jobs.lever.co/veeva/2bf92570-a680-40e8-96b0-a8629e3feac7 1. 2. -- Ehsan Khoddam Data Science Manager - Medical NLP Link Data Science Veeva Systems m +31623213197 ehsan.khoddam(a)veeva.com

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[CFP] Call for Abstract Submissions at the Conference of the German AI Service Centers (KonKIS24)
by Jennifer D'Souza 18 Jun '24

18 Jun '24

[apologies if you received multiple copies of this call] We are pleased to invite abstract submissions for session 3, "Large Language Models," at the upcoming "1st Conference of the German AI Service Centers (KonKIS24)" with a focus on "Advancing Secure AI in Critical Infrastructures for Health and Energy." Please visit the main event page https://events.gwdg.de/event/615/ for more details. We encourage submissions that align with the conference's theme, particularly in the following areas: - *Pretraining Techniques for LLMs*: Exploring foundational strategies and algorithms. - *Testing and Evaluating LLM Fitness*: Methods for assessing performance on well-known tasks and benchmarks. - *Application of LLMs in Scientific Research*: Case studies and examples of LLMs driving discovery and innovation. - *Innovative Insights Generation*: Strategies for leveraging LLMs to generate novel insights and accelerate research outcomes. - *Challenges and Solutions in LLM Application*: Discussing the practical challenges and potential solutions in scientific research. Accepted abstracts will be featured through short presentations during the session. The conference will take place on September 18-19 in picturesque Göttingen. For more information, to submit an abstract, book a stand, or register, please visit the program homepage https://events.gwdg.de/event/615/program. Feel free to contact me (jennifer[dot]dsouza[at]tib[dot]eu) directly with any questions about this session.

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CFP: 7th FEVER workshop and shared task at EMNLP 2024
by A. Vlachos 18 Jun '24

18 Jun '24

Dear all, We are excited to announce the 7th FEVER workshop and shared task collocated with EMNLP 2024. The full CFP is here: https://fever.ai/workshop.html , below are some highlights: New Shared Task: In this year’s workshop we will organise a new fact checking shared task AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. It will consist of claims that are fact checked using evidence from the web. For each claim, systems must return a label (Supported, Refuted, Not Enough Evidence, Conflicting Evidence/Cherry-picking) and appropriate evidence. The evidence must be retrieved from the document collection provided by the organisers or from the Web (e.g. using a search API). For more information, see our shared task page<https://fever.ai/task.html>. The timeline for it is as follows: * Training/dev data release: April 2024 * Test data release: July 10, 2024 * Shared task deadline: July 20, 2024 * Shared task submission due: August 15, 2024 We invite long and short papers on all topics related to fact extraction and verification, including: * Information Extraction * Semantic Parsing * Knowledge Base Population * Natural Language Inference * Textual Entailment Recognition * Argumentation Mining * Machine Reading and Comprehension * Claim Validation/Fact checking * Question Answering * Information Retrieval and Seeking * Theorem Proving * Stance detection * Adversarial learning * Computational journalism * Descriptions of systems for the FEVER<http://fever.ai/2018/task.html>, FEVER 2.0<http://fever.ai/2019/task.html>, FEVEROUS<https://fever.ai/2021/task.html> and AVERITEC<https://fever.ai/dataset/averitec.html> Shared Tasks Important dates: * Submission deadline: August 15, 2024 (ARR and non-ARR submission deadline) * Commitment deadline: September 23, 2024 * Notification: September 27, 2024 * Camera-ready deadline: October 4, 2024 * Workshop: November 15 or 16, 2024 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Feel free to contact us on our slack channel<https://join.slack.com/t/feverworkshop/shared_invite/zt-4v1hjl8w-Uf4yg~dift…> or via email: fever-organisers(a)googlegroups.com with any questions. Looking forward to your participation! -- The FEVER workshop organizers

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Fwd: Searching participants for my quick study
by Dominik Schlechtweg 18 Jun '24

18 Jun '24

Hi everyone, Please find a request for participation in a very short study of one of my student's bachelor thesis below. Best, Dominik -------- Weitergeleitete Nachricht -------- Betreff: Searching participants for my quick study Datum: Thu, 13 Jun 2024 09:38:22 +0000 Von: Wolkober, Marcel <st163937(a)stud.uni-stuttgart.de> An: dominik.schlechtweg(a)ims.uni-stuttgart.de <dominik.schlechtweg(a)ims.uni-stuttgart.de> Hello! For my bachelor thesis I need participants in my quick online study. It will take approximately 5 to 10 minutes to complete and is in English. You can use your smartphone, but it's recommended to use a PC browser. Here you can get to the study: https://semantic-nlp-captcha.de/study <https://semantic-nlp-captcha.de/study> . Everything else will be explained there. If you have troubles on mobile, activate the desktop mode. It would be of great help if you can forward this study to others, thanks! Best wishes, Marcel Wolkober

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CFP - Special Issue on Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
by Stefano Marchesin 17 Jun '24

17 Jun '24

Apologies for crossposting. Call for Papers Information Processing & Management (IPM), Elsevier - CiteScore: 14.8 - Impact Factor: 8.6 Guest editors: - Omar Alonso, Applied Science, Amazon, Palo Alto, California, USA. E-mail: omralon(a)amazon.com - Stefano Marchesin, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: stefano.marchesin(a)unipd.it - Gianmaria Silvello, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: gianmaria.silvello(a)unipd.it Special Issue on “Large Language Models and Data Quality for Knowledge Graphs” In recent years, Knowledge Graphs (KGs), encompassing millions of relational facts, have emerged as central assets to support virtual assistants and search and recommendations on the web. Moreover, KGs are increasingly used by large companies and organizations to organize and comprehend their data, with industry-scale KGs fusing data from various sources for downstream applications. Building KGs involves data management and artificial intelligence areas, such as data integration, cleaning, named entity recognition and disambiguation, relation extraction, and active learning. However, the methods used to build these KGs involve automated components that could be better, resulting in KGs with high sparsity and incorporating several inaccuracies and wrong facts. As a result, evaluating the KG quality plays a significant role, as it serves multiple purposes – e.g., gaining insights into the quality of data, triggering the refinement of the KG construction process, and providing valuable information to downstream applications. In this regard, the information in the KG must be correct to ensure an engaging user experience for entity-oriented services like virtual assistants. Despite its importance, there is little research on data quality and evaluation for KGs at scale. In this context, the rise of Large Language Models (LLMs) opens up unprecedented opportunities – and challenges – to advance KG construction and evaluation, providing an intriguing intersection between human and machine capabilities. On the one hand, integrating LLMs within KG construction systems could trigger the development of more context-aware and adaptive AI systems. At the same time, however, LLMs are known to hallucinate and can thus generate mis/disinformation, which can affect the quality of the resulting KG. In this sense, reliability and credibility components are of paramount importance to manage the hallucinations produced by LLMs and avoid polluting the KG. On the other hand, investigating how to combine LLMs and quality evaluation has excellent potential, as shown by promising results from using LLMs to generate relevance judgments in information retrieval. Thus, this special issue promotes novel research on human-machine collaboration for KG construction and evaluation, fostering the intersection between KGs and LLMs. To this end, we encourage submissions related to using LLMs within KG construction systems, evaluating KG quality, and applying quality control systems to empower KG and LLM interactions on both research- and industrial-oriented scenarios. Topics include but are not limited to: - KG construction systems - Use of LLMs for KG generation - Efficient solutions to deploy LLMs on large-scale KGs - Quality control systems for KG construction - KG versioning and active learning - Human-in-the-loop architectures - Efficient KG quality assessment - Quality assessment over temporal and dynamic KGs - Redundancy and completeness issues - Error detection and correction mechanisms - Benchmarks and Evaluation - Domain-specific applications and challenges - Maintenance of industry-scale KGs - LLM validation via reliable/credible KG data Submission guidelines: Authors are invited to submit original and unpublished papers. All submissions will be peer-reviewed and judged on originality, significance, quality, and relevance to the special issue topics of interest. Submitted papers should not have appeared in or be under consideration for another journal. Papers can be submitted *up *to 1 September 2024. The estimated publication date for the special issue is 15 January 2025. Papers submission via IP&M electronic submission system: https://www.editorialmanager.com/IPM To submit your manuscript to the special issue, please choose the article type: "VSI: LLMs and Data Quality for KGs". More info here: https://www.sciencedirect.com/journal/information-processing-and-management… Instructions for authors: https://www.sciencedirect.com/journal/information-processing-and-management… Important dates: - Submissions close: 1 September 2024 - Publication date (estimated): 15 January 2025 References: Weikum G., Dong X.L., Razniewski S., et al. (2021) Machine knowledge: creation and curation of comprehensive knowledge bases. Found. Trends Databases, 10, 108–490. Hogan A., Blomqvist E., Cochez M. et al. (2021) Knowledge graphs. ACM Comput. Surv., 54, 71:1–71:37. B. Xue and L. Zou. 2023. Knowledge Graph Quality Management: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 35, 5 (2023), 4969 – 4988 G. Faggioli, L. Dietz, C. L. A. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, and H. Wachsmuth. 2023. Perspectives on Large Language Models for Relevance Judgment. In Proc. of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023. ACM, 39 – 50. S. MacAvaney and L. Soldaini. 2023. One-Shot Labeling for Automatic Relevance Estimation. In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM, 2230 – 2235. X. L. Dong. 2023. Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16, 12 (2023), 4130 – 4137. S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023). -- Stefano Marchesin, PhD Assistant Professor (RTD/a) Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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Call for Papers for the 6th Workshop on Natural Legal Language Processing (NLLP 2024) with EMNLP 2024
by Spanakis, Jerry (DACS) 17 Jun '24

17 Jun '24

For the full text: https://nllpw.org/workshop/call/ Following the success of the first five editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021, EMNLP 2022, EMNLP 2023), 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 Applications of Large Language Models (LLMs) to Legal Data and Tasks Experimental results using and adapting NLP methods for legal data including, but not limited to: 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/emnlp2024/nllp/ Conference proceedings will be published on the ACL Anthology. Shared Task Together with Darrow.ai we organize the LegalLens Shared task. More information is provided here https://www.codabench.org/competitions/3052/ Participants will be invited to describe their system in a paper for the NLLP workshop proceedings. The task organizers will write an overview paper that describes the task and summarizes the different approaches taken, and analyzes their results. More information on the submission of description papers will follow. Ethics section The NLLP workshop adheres to the same standards regarding ethics as the EMNLP 2024 conference. 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 2024 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). 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 27 September 2024. This should include submissions to ARR for the 15 August deadline. The decision of publication will be announced by 8 October 2024. The committment should be done via the workshop submission website: https://softconf.com/emnlp2024/nllp/ ("ACL Rolling Review Committment" submission type) EMNLP 2024 Submissions Authors of any papers that have been reviewed for EMNLP 2024 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 27 September 2024. The decision of publication will be announced by 8 October 2024. The submission should be done via the workshop submission website: https://softconf.com/emnlp2024/nllp/ ("EMNLP 2024 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 (Latex and Word). Please follow the paper formatting guidelines general to "*ACL" conferences available here. 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. Important deadlines Submission deadline ― 3 September 2024 Submission of EMNLP papers with reviews and ARR committment ― 27 September 2024 Notification for direct submissions, ARR and EMNLP papers ― 8 October 2024 Camera ready due ― 15 October 2024 (tentative) Workshop ― 15 or 16 November 2024 All deadlines are 11.59pm UTC -12h 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 2024 workshop by the registration deadline in order for the submission to be published in the proceedings.

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Call for Extended Abstracts: Swedish Language Technology Conference (SLTC) 2024
by Jenny Kunz 17 Jun '24

17 Jun '24

Welcome to the Tenth Swedish Language Technology Conference (SLTC), to be held in Linköping, Sweden, 27–29 November 2024. https://sltc2024.github.io/ ## Submissions We invite submissions on all theoretical, practical, and applied aspects of language technology, including natural language processing, computational linguistics, speech technology, and neighbouring areas. Submissions can report on completed or ongoing research and practical applications of language technology and may be combined with system demonstrations. The conference does not publish proceedings (“non-archival”), but authors can opt to make their accepted contributions available on the conference webpage. Hence, it is possible to submit abstracts related to work that has been or will be published elsewhere as long as this is compatible with the conditions of the respective publication channels. ## Important Dates * Submission deadline: Wednesday, 4 September * Notification of acceptance: Monday, 14 October * Camera-ready version: Friday, 1 November * Main conference: Wednesday–Thursday, 27–28 November * Workshops: Friday, 29 November ## Submission formats Submissions are extended abstracts using style files that we will make available on the conference webpage. They should include author names and affiliations (i.e., they should not be anonymous). Abstracts should be up to four pages, excluding references, and be submitted via OpenReview no later than Wednesday, 4 September. Please see the conference webpage for details. For more information about submissions, see https://sltc2024.github.io/cfp. ## Organisers SLTC 2024 is organised by Linköping University. The organisation committee is chaired by * Lars Ahrenberg * Arne Jönsson * Marco Kuhlmann * Jenny Kunz To inquire about all aspects of the conference, please email “sltc2024(a)googlegroups.com<mailto:sltc2024@googlegroups.com>”.

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Researcher: AI & Data Science in Assessment
by Felice, Mariano (Exams) 16 Jun '24

16 Jun '24

An opportunity to join the Assessment Research Group at the British Council as Researcher: AI & Data Science in Assessment. Full details and link to application here: https://careers.britishcouncil.org/job/London-Researcher-AI-&-Data-Science-… For any enquiries, feel free to contact me. Deadline for applications is 1st April. 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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12th IEEE International Conference on Cloud Engineering (IC2E): Last Call for Demo and Poster Submissions
by Announce 15 Jun '24

15 Jun '24

*** Last Call for Demo and Poster Submissions *** 12th IEEE International Conference on Cloud Engineering (IC2E) September 24-27, 2024, 5* Aliathon Resort, Paphos, Cyprus https://conferences.computer.org/IC2E/2024/, The IEEE International Conference on Cloud Engineering (IC2E) is a premier conference on Cloud Computing, which in the last two decades has significantly changed the way IT resources are consumed. ###IMPORTANT DATES### * Demo and poster submission deadline: June 23, 2024 (AoE) * Author notification: July 15, 2024 * Camera-ready due: August 2, 2024 ###TOPICS OF INTEREST### IC2E 2024 invites submissions of high-quality demo and poster papers describing all aspects of cloud engineering. Some representative topics of interest include, but are not limited to: * Cloud management and engineering, from single (micro-)services to complete system landscapes. * Cloud applications, ranging from the Internet of Things (IoT) over Big Data to Machine Learning. * Cloud systems, including storage, data distribution, and serverless computing. * Cloud security and privacy concerns on all levels of the Cloud stack. * Fog and Edge Computing, and all other system types in the Cloud-Edge Compute Continuum. * Everything as a Service. * Non-technical aspects of Cloud Computing, e.g., cloud governance or cloud economics. ### SUBMISSION ### Authors must submit poster/demo papers in PDF at EasyChair, https://easychair.org/conferences/?conf=ic2e2024, upon selecting the Posters/Demos Track option. Papers should use the IEEE Manuscript Template for Conference Proceedings for formatting. LaTeX users must use \documentclass[10pt,conference]{IEEEtran}, without including the compsoc or compsocconf options. Poster and demo papers may not exceed 2 double-column pages and should be single-blind. Depending on the paper type, the paper title should start with either "Demo:" or "Poster:". ### REVIEW PROCESS AND PUBLICATION ### All submitted papers will be peer-reviewed based on technical merit, novelty, and potential to stimulate interesting discussions at the conference, as well as alignment with the conference theme. The papers must contain original ideas and must not have been published or under review elsewhere, except for demo papers which may showcase previously published systems. In this case, authors must clearly state this and include the original publication as part of their submission. Accepted papers will be published by IEEE Computer Society Conference Publishing Services (indexed by EI). ### ORGANIZATION & CONTACT ### Demo and Poster Chairs: * Thaleia Dimitra Doudali, IMDEA Software Institute, Spain (thaleia.doudali(a)imdea.org) * Lena Mashayekhy, University of Delaware, USA (mlena(a)udel.edu) General Chairs: * George Pallis University of Cyprus, Cyprus * Weisong Shi University of Delaware, US

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Call for Participation - International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
by t.ranasinghe＠lancaster.ac.uk 15 Jun '24

15 Jun '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 # Call for Participation We are pleased to share the accepted papers of NeTTT’2024. To view the full list, please click here - https://nettt-conference.com/accepted-papers/. To register, please visit https://nettt-conference.com/fees-registration/ We very much hope to welcome you at NeTTT’2024 in Varna! # The conference The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings. # Venue The conference will take place at Conference Hotel Cherno More, Varna, situated only 200 m away from the fine sandy Black Sea beach. # Keynote speakers We are delighted to announce the NeTTT’2024 keynote speakers - Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation - Carla Parra Escartín (RWS Language Weaver) # Tutorial (3 July 2024) - Tharindu Ranasinghe (Lancaster University), Quality Estimation for Machine Translation # Special session - Future of Translation Technology in the Era of LLMs and Generative AI We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. # Sponsors We are proud to announce the conference sponsors: OONA - Diamond Sponsor Pangeanic – Gold Sponsor MITRA Translations– Silver Sponsor juremy – Bronze Sponsor # Further information and contact details The conference website is https://nettt-conference.comhttps://nettt-conference.com/ and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com. Best Regards Tharindu Ranasinghe

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