February 2026 - Corpora

Webinar by: José Andrés González-López (Universidad de Granada)
by HiTZ Zentroa 27 Feb '26

27 Feb '26

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by The HiTZ Chair of Artificial Intelligence and Language Technology (https://hitz.eus/katedra). We are organizing one seminar every month. Next webinar: Speaker: José Andrés González-López (Universidad de Granada) Title: From Neural Signals to Fluent Speech: Recent Advances in Neural Speech Interfaces Date: Thursday, March 5, 2026 - 15:00 Summary: Neural speech interfaces aim to restore natural communication in individuals who have lost the ability to speak while preserving cognitive function. Over the past decade, this field has undergone a remarkable transformation, moving from slow and cognitively demanding spelling-based brain–computer interfaces to systems capable of decoding continuous speech directly from neural activity. These advances have been driven by the convergence of high-resolution invasive neural recording technologies, improved experimental paradigms for speech production and perception, and powerful deep learning models inspired by modern automatic speech recognition systems. In this talk, I will review the state of the art in neural speech prostheses, with a particular focus on next-generation BCIs that translate cortical activity into text or synthetic speech. I will discuss key design choices, including neural recording techniques (such as ECoG, sEEG, and intracortical microelectrodes), target brain areas, decoding architectures, and evaluation metrics. I will also highlight recent clinical results demonstrating unprecedented levels of accuracy, fluency, and long-term stability in continuous speech decoding. Finally, I will outline current challenges and future directions, including scalability across users, real-time bidirectional feedback, and the path towards clinical and real-world deployment, illustrated with ongoing work from our research group. Bio: Jose A. Gonzalez-Lopez is an Associate Professor at the University of Granada whose research sits at the frontier of artificial intelligence, computational neuroscience, and neural speech prostheses. His work addresses the core challenge of how to translate high-dimensional neural activity into fluent, natural speech, bridging invasive neural recordings with modern deep learning and speech–language models. He leads multiple competitive R&D projects on AI-driven speech restoration for individuals with severe neurological and phonatory impairments, with a strong emphasis on long-term robustness, scalability across users, and real-world clinical deployment. He has published over 100 papers in leading international journals and conferences. His contributions have been recognized with several awards for scientific excellence and technological innovation, and his research is embedded in a strong international collaboration network built through extended research visits to institutions such as the University of Sheffield, the University of Bremen, and Maastricht University. Registration: https://www.hitz.eus/webinar_izenematea Upcoming webinars: Ranjay Krishna (April 16) Barbara Plank (May 7) You can view the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, The HiTZ Chair of Artificial Intelligence and Language Technology P.S: HiTZ will not grant any type of certificate for attendance at these webinars.

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FINAL Call for Participation: Shared Task in Vocabulary Difficulty Prediction at BEA Workshop, ACL 2026.
by Skidmore, Lucy (Exams) 27 Feb '26

27 Feb '26

We invite participation in our Shared Task on Vocabulary Difficulty Prediction for English Learners, which will be hosted at The<https://sig-edu.org/bea/2026> <https://sig-edu.org/bea/2026> 21st Workshop on Innovative Use of NLP for Building Educational Applications<https://sig-edu.org/bea/2026> (co-located with ACL 2026) both online and in person in San Diego, CA, United States. This shared task focuses on predicting the difficulty of English vocabulary for learners with different L1 backgrounds. Evaluation will use the British Council’s Knowledge-based Vocabulary Lists (KVL), which provide psychometrically calibrated difficulty scores for English learners with Spanish, German, and Mandarin L1s. The task includes a Closed Track, limited to the provided data and standard NLP resources, and an Open Track, which allows external data and use of LLMs, to explore the full potential of current AI approaches. Important Dates 26 January: Release of training data and baseline models<https://github.com/britishcouncil/bea2026st> 20 March: Test data release 27 March: System submissions from teams due 3 April: Announcement of evaluation results by the organisers 24 April: System papers due 1 May: Paper reviews returned 12 May: Final camera-ready submissions 2-3 July: BEA 2026 workshop at ACL Further details can be found at our shared task website<https://www.britishcouncil.org/data-science-and-insights/bea2026st>. Please send any questions to vocabularychallenge(a)britishcouncil.org<mailto:vocabularychallenge@britishcouncil.org> or post a new topic in our forum<https://groups.google.com/g/bea-2026-shared-task/>. We look forward to your participation! Organisers: Mariano Felice (British Council) and Lucy Skidmore (British Council). 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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Joint CODI CRAC 2026 Workshop: last call for papers
by Chloé Braud 27 Feb '26

27 Feb '26

*apologies for cross-postings* Joint CODI CRAC 2026 Workshop: call for papers July 4 2026 - ACL 2026 - San Diego, USA We are pleased to announce that we are organizing the second joint CODI-CRAC workshop which will be held during ACL 2026! More information at: https://sites.google.com/view/codi-crac2026/ CODI-CRAC is officially endorsed by SIGDial, the ACL Special Interest Group on Discourse and Dialogue. Deadline for CODI CRAC papers: March 20 2026 Submission website: https://softconf.com/acl2026/codi-crac2026/ The workshop will also host the CRAC shared task. More information at: - CRAC shared task: https://ufal.mff.cuni.cz/corefud/crac26 Aims and scope Recent breakthroughs in NLP and Large Language Models have dramatically expanded our systems’ abilities to interpret and generate not just sentences, but whole documents and conversations. This shift has renewed interest in discourse-level challenges, driving new work on inter-sentential phenomena, coherence modeling, long-form summarization, discourse-aware representation learning, and large-scale resources for discourse understanding and parsing. Discourse sits at the intersection of many NLP subfields, as it is where context, structure, and meaning come together beyond single sentences. Discourse shapes how we capture coherence, cohesion, and inference across long texts, and brings together researchers tackling the shared challenges of document structure, long-range dependencies, and the requirements of extended context. In 2025, we organized the first joint CODI-CRAC workshop. The CODI workshop on Computational Approaches to Discourse has been a forum for a broad range of work at the discourse level. The CRAC workshop on Computational Models of Reference, Anaphora and Coreference has been a primary venue for researchers interested in the computational modeling of reference phenomena. Together, these workshops have catalyzed work to advance research on discourse-level problems and have served as a forum for discussing suitable datasets and reliable evaluation methods. This joint edition corresponds to the 7th CODI workshop and the 9th CRAC workshop. It will welcome contributions from all the areas below, including state-of-the-art textual NLU and NLG work using LLMs, as well as classic structured work on automatic discourse analysis -- corresponding to challenging tasks such as coreference resolution or discourse parsing -- to encourage interaction between communities. The workshop is set to host the 5th edition of the CRAC shared task on Multilingual Coreference Resolution. The workshop is planned as a 1-day event that brings together different subcommunities. It will feature regular papers and invited talks by Ruihong Huang (Texas A&M University) and Philippe Laban (Microsoft Research). We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. Topics of interest We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing - discourse pretraining tasks - long-text modeling and generation Submissions Double submission of papers is allowed, but this information will need to be disclosed at submission time. We solicit three categories of papers: § (1) Regular workshop papers § (2) Demos § (3) Extended abstracts Only regular workshop papers and demos will be included in the proceedings as archival publications. Extended abstracts are non-archival and will be included in the workshop program and handbook, but will not appear in the workshop proceedings. 1- Regular papers must describe original unpublished research. § Long papers may consist of up to 8 pages of content, plus unlimited pages for references. § Short papers can be up to 4 pages, plus unlimited pages for references. 2- Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. 3- Extended abstracts can describe work in progress. They may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Each submission can contain unlimited pages for Appendices, but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Final versions of all types of papers will be given one additional page of content. Paper accepted or rejected at one of the main conferences We also invite presentations of papers accepted at another main conference. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We also fast-track ARR papers with existing reviews. Submission website All submissions must be anonymous and follow the ACL 2026 formatting instructions described here: https://aclrollingreview.org/cfp Submission website: * CODI-CRAC: https://softconf.com/acl2026/codi-crac2026/ Schedule Important dates for the workshop are listed below: * CODI-CRAC papers due: March 20 * Pre-reviewed ARR fast-track (with reviews, can be accepted or rejected): April 5 * Notification of acceptance: April 28, 2026 * Grant application: May 5, 2026 * Camera-ready paper due: May 12, 2026 * Pre-recorded video due: June 4, 2026 * Workshop dates: July 3 or 4, 2026 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Invited Speakers - Ruihong Huang, Texas A&M University - Philippe Laban, Microsoft Research Organizers - Chloé Braud, CNRS-IRIT - Christian Hardmeier, IT University of Copenhagen - Chuyuan (Lisa) Li, University of British Columbia - Jessy Li, University of Texas, Austin - Sharid Loáiciga, University of Gothenburg - Vincent Ng, University of Texas at Dallas - Michal Novák, Charles University, Prague - Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences - Massimo Poesio, Queen Mary University of London and University of Utrecht - Michael Strube, Heidelberg Institute for Theoretical Studies - Amir Zeldes, Georgetown University, Washington DC To contact the organizers, please send an email to: codi-crac-workshop(a)googlegroups.com

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Final call for papers: The Fifth Generation, Evaluation & Metrics Workshop (GEM@ACL'26)
by Simon Mille 27 Feb '26

27 Feb '26

Conference: GEM at ACL 2026, special Comic-Con edition! *Submission deadline: *March 19th (via Open Review <https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/GEM#tab-your-c…> ) Date: July 3nd or July 4rd, 2026 Location: San Diego, California, USA Website: https://gem-workshop.com/ Contact: gem-workshop-chairs(a)googlegroups.com Evaluation of language models has grown to be a central theme in NLP research, while remaining far from solved. As LMs have become more powerful, errors have become tougher to spot and systems harder to distinguish. Evaluation practices are evolving rapidly—from living benchmarks like Chatbot Arena to LMs being used as evaluators themselves (e.g., LM as judge, autoraters). Further research is needed to understand the interplay between metrics, benchmarks, and human-in-the-loop evaluation, and their impact in real-world settings. We will welcome submissions on a variety of topics and encourage themed presentations and posters! See Website <https://gem-workshop.com/> for more information. *Submissions* through Open Review <https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/GEM#tab-your-c…> can take any of the following forms: - Archival Papers: Original and unpublished work, for all the following tracks—Main, ReproNLP, and Opinion/Statement. - *Non-Archival Extended Abstracts*: Work already presented or under review at a peer-reviewed venue. This is an excellent opportunity to share recent or ongoing work with the GEM community without precluding future publication. - *Findings Papers*: We additionally welcome presentation of relevant papers accepted to Findings, and will share more information at a later date. *Important Dates* - March 19, 2026: Direct paper submission deadline - April 9, 2026: Pre-reviewed ARR commitment deadline - April 28, 2026: Notification of acceptance - May 14, 2026: Camera-ready paper due - June 4, 2026: Pre-recorded video due (hard deadline) - July 3–4, 2026: Workshop at ACL in San Diego We hope to see you there! *Dublin City University* *Simon Mille *| Postdoctoral Research Fellow ADAPT Centre School of Computing Dublin City University Dublin 9 Ireland www.adaptcentre.ie *ADAPT Taighde Éireann – Research Ireland Centre for Digital Content Technology* Privileged/confidential information: This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Please note that electronic mail to, from or within the College, may be the subject of a request under the Freedom of Information Act. <https://adaptcentre.us8.list-manage.com/subscribe?u=1bed8296322695727ba3517…>

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Cross-Cultural Misogynistic Meme Detection Grand Challenge (CC-MMD) 2026-ICMI 2026-reg
by Bharathi Raja Asoka Chakravarthi 27 Feb '26

27 Feb '26

*Cross-Cultural Misogynistic Meme Detection Grand Challenge (CC-MMD) 2026* *Held in conjunction with the 28th ACM International Conference on Multimodal Interaction (ICMI 2026) Napoli, Italy | October 5–9, 2026* *Website link : https://sites.google.com/view/cc-mmd2026/overview <https://sites.google.com/view/cc-mmd2026/overview>* *Codabench link: https://www.codabench.org/competitions/14187/ <https://www.codabench.org/competitions/14187/>* ------------------------------ Online misogyny is increasingly evolving into complex multimodal formats. Memes—the fusion of text and imagery—often leverage humor, irony, and cultural shorthand to mask harmful ideologies. However, what is perceived as misogynistic is rarely universal; it is deeply rooted in local norms, language nuances, and social symbolism. The *CC-MMD Grand Challenge* benchmarks the next generation of culturally robust multimodal systems. We focus on binary misogyny classification across three distinct regions: *Indian*, *Chinese*, and *Western (English)* contexts. This challenge moves beyond single-pool testing to evaluate how well AI generalizes across specific cultural partitions, ensuring that moderation systems are inclusive and reliable for a global digital population. Participants are invited to develop multimodal models that can navigate: - *Implicit Meaning:* Detecting harm when neither the text nor the image is explicitly toxic in isolation. - *Cultural Grounding:* Interpreting symbols and slang unique to Indian, Chinese, and Western contexts. *Task & Data* - *Task:* Binary classification (Misogynistic vs. Non-Misogynistic) of multimodal memes. - *Dataset:* A systematic, cross-culturally annotated dataset featuring multilingual text and diverse imagery. - *Platform:* Competition hosting and data release will be managed via CodaBench *https://www.codabench.org/competitions/14187/ <https://www.codabench.org/competitions/14187/>*. ------------------------------ *Important Dates* *Task Announcement* February 27, 2026 *Release of Training Data* February 27, 2026 *Release of Test Data* April 1, 2026 *Run Submission Deadline* April 20, 2026 *Results Declared* May 5, 2026 *Paper Submission Deadline* June 10, 2026 *Peer Review Notification* July 8, 2026 *Camera-ready Paper Due* July 23, 2026 <https://research.universityofgalway.ie/en/persons/bharathi-raja-asoka-chakr…>

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CfP: Humor and Artificial Intelligence at ISHS 2026
by Tristan Miller 27 Feb '26

27 Feb '26

Humor and Artificial Intelligence Panel ======================================= 36th International Society for Humor Studies Conference (ISHS 2026) Niterói, Brazil, July 6 to 10, 2026 https://ishs2026.org/ ABSTRACT SUBMISSION DEADLINE: MARCH 24, 2026 Call for papers --------------- As in previous years, the Humor and AI Special Interest Group <https://humorstudies.org/Forum/forumdisplay.php?fid=9> of the International Society for Humor Studies will hold a panel at the 36th International Society for Humor Studies Conference (ISHS 2026). ISHS is a multidisciplinary conference organized and attended by humor researchers in diverse fields, including linguistics, psychology, sociology, computer science, folklore, literary studies, and many others. We invite paper presentations on AI-based technology for generating, processing, or analyzing humor. Contributions should be grounded in humor theory or other relevant theoretical frameworks, demonstrating how theory informs the design, analysis, or application of AI methods. (Submissions that focus solely on AI tools without clear theoretical motivation or connection to humor research are outside the scope of this call.) Application areas include, but are not limited to: * human–computer interaction * computer-mediated communication * intelligent writing assistants * conversational agents * machine and computer-assisted translation * digital humanities * natural language processing * computer vision Submission instructions ----------------------- Per ISHS 2026 policy, each (co-)author of the submission must separately register beforehand for the conference using the form at <https://www.ishs2026.eventos.dype.com.br/>. Because the submission is for a pre-organized panel, co-authors should answer "No" to the question "Do you wish to send a proposal/work in your registration?" Payment of the conference fee is not required at submission time, but will be required of _all_ co-authors of submissions accepted for presentation. The corresponding (co-)author should then e-mail the following information to the panel organizers at ishs-ai(a)groups.io: 1. Title 2. 250-word abstract 3. 3 keywords 4. Name, short biography, and conference registration code for each (co-)author Conveners --------- * Kiki Hempelmann, East Texas A&M University * Tristan Miller, University of Manitoba * Julia M. Rayz, Purdue University -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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New Paper Submission Deadline - 19th Workshop on Building and Using Comparable Corpora at LREC 2026
by Reinhard Rapp 26 Feb '26

26 Feb '26

Call for Papers New Submission Deadline: March 5, 2026 ************************************************************** 19th WORKSHOP ON BUILDING AND USING COMPARABLE CORPORA Co-located with LREC 2026, Palma de Mallorca (in-person & online) May 11, 2026 Workshop website: https://comparable.lisn.upsaclay.fr/bucc2026/ Main conference website: https://lrec2026.info/ ************************************************************** MOTIVATION In the language engineering and linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for data-driven NLP applications such as statistical and neural machine translation, or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, and unrelated corpora are on the other. Increasingly, these resources are not only collected, but also augmented or even created synthetically, which raises new questions about how to define and measure comparability. In recent years, the use of comparable corpora for pre-training Large Language Models (LLMs) has led to their impressive multilingual and cross-lingual abilities, which are relevant to a range of applications, including information retrieval, machine translation, cross-lingual text classification, etc. The linguistic definitions and observations related to comparable corpora are crucial to improve methods to mine such corpora, to assess and document synthetic data, and to improve cross-lingual transfer of LLMs. Therefore, it is of great interest to bring together builders and users of such corpora. PANEL DISCUSSION The panel discusses the impact of synthetic data on comparable corpora research. Fundamental questions about how LLMs transform our understanding and use of multilingual data are addressed. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora - Automatic and semi-automatic methods, including generating comparable corpora using LLMs - Methods to mine parallel and non-parallel corpora from the web - Tools and criteria to evaluate the comparability of corpora - Parallel vs non-parallel corpora, monolingual corpora - Rare and minority languages, within and across language families - Multi-media/multi-modal comparable corpora Synthetic Data for Comparable Corpora - LLM generation of comparable/parallel data - Improving comparability of synthetic data - Incidental bilingualism & pre-training use of comparable data - Comparability & cross-lingual consistency - Detection & attribution of synthetic vs. human text - English-centric effects & fairness across languages/scripts - Evaluation & reproducibility for downstream tasks Applications of Comparable Corpora - Human translation - Language learning - Cross-language information retrieval & document categorization - Bilingual and multilingual projections - (Unsupervised) machine translation - Writing assistance - Machine learning techniques using comparable corpora Mining from Comparable Corpora - Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models - Extraction of parallel segments or paraphrases from comparable corpora - Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) - Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora. - Induction of morphological, grammatical, and translation rules from comparable corpora - Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities - Comparing linguistic phenomena across languages in contrastive linguistics - Analyzing properties of translated language in translation studies - Studying language change over time in diachronic linguistics - Assigning texts to authors via authors' corpora in forensic linguistics - Comparing rhetorical features in discourse analysis - Studying cultural differences in sociolinguistics - Analyzing language universals in typological research IMPORTANT DATES 05 Mar 2026: Paper submission deadline (extended) 22 Mar 2026: Notification of acceptance 29 Mar 2026: Camera-ready final papers 14 Apr 2026: Workshop programme final version 11 May 2026: Workshop date All deadlines are 11:59PM UTC-12:00 (“anywhere on earth”). For updates of the schedule, please see the workshop website. PRACTICAL INFORMATION The workshop is a hybrid event, both in-person and online. Workshop registration is via the main conference registration site, see https://lrec2026.info/ The workshop proceedings will be published in the ACL Anthology (https://aclanthology.org/). SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at https://lrec2026.info/authors-kit/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/lrec2026/BUCC2026/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings. Double submission policy: Parallel submission to other meetings or publications is possible but must be notified to the workshop organizers by e-mail immediately upon submission to another venue. For further information and updates, please see the BUCC 2026 web page at https://comparable.lisn.upsaclay.fr/bucc2026/. WORKSHOP ORGANIZERS - Reinhard Rapp (University of Mainz, Germany) - Ayla Rigouts Terryn (Université de Montréal, Mila, Canada) - Serge Sharoff (University of Leeds, United Kingdom) - Pierre Zweigenbaum (Université Paris-Saclay, CNRS, France) Contact: reinhardrapp (at) gmx (dot) de PROGRAMME COMMITTEE - Ebrahim Ansari (Institute for Advanced Studies in Basic Sciences, Iran) - Eleftherios Avramidis (DFKI, Germany) - Gabriel Bernier-Colborne (National Research Council, Canada) - Kenneth Church (VecML.com, USA) - Patrick Drouin (Université de Montréal, Canada) - Alex Fraser (Technical University of Munich, Germany) - Natalia Grabar (CNRS, University of Lille, France) - Amal Haddad Haddad (Universidad de Granada, Spain) - Kyo Kageura (University of Tokyo, Japan) - Natalie Kübler (Université Paris Cité, France) - Philippe Langlais (Université de Montréal, Canada) - Yves Lepage (Waseda University, Japan) - Shervin Malmasi (Amazon, USA) - Michael Mohler (Language Computer Corporation, USA) - Emmanuel Morin (Nantes Université, France) - Dragos Stefan Munteanu (RWS, USA) - Preslav Nakov (Mohamed bin Zayed University of AI, United Arab Emirates) - Ted Pedersen (University of Minnesota, Duluth, USA) - Reinhard Rapp (University of Mainz, Germany) - Ayla Rigouts Terryn (Université de Montréal & Mila, Canada) - Nasredine Semmar (CEA LIST, Paris, France) - Serge Sharoff (University of Leeds, UK) - Richard Sproat (Sakana.ai, Tokyo, Japan) - Marko Tadić (University of Zagreb, Croatia) - François Yvon (CNRS & Sorbonne Université, France) - Pierre Zweigenbaum (Université Paris-Saclay, CNRS, France) INFORMATION ABOUT THE LRE 2026 MAP AND THE "SHARE YOUR LRs!" INITIATIVE When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of the research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

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Public talk (5 March 2026) - Privacy-Preserving Generation of Synthetic Clinical Narratives (by Prof Goran Nenadic, University of Manchester) - Exeter NLPV seminar
by h.dong2＠exeter.ac.uk 26 Feb '26

26 Feb '26

We welcome you to the next Natural Language Processing and Vision (NLPV) seminar at the University of Exeter. Zoom scheduled: Thursday 5 March 2026 at 15:00 to 16:00, GMT Location: https://Universityofexeter.zoom.us/j/98687933020?pwd=si6Sb2yasZU2s8zw0hMI4n… (Meeting ID: 986 8793 3020 Password: 667296) Title: Privacy-Preserving Generation of Synthetic Clinical Narratives Abstract: Training data is fundamental to the success of modern machine learning models, yet in high-stakes domains such as healthcare, the use of real-world training data is severely constrained by concerns over privacy leakage. A potential solution to this challenge is the use of differentially private (DP) synthetic data, which offers formal privacy guarantees while maintaining data utility. However, striking the right balance between privacy protection and utility remains challenging in clinical note synthesis, given its domain specificity and the complexity of long-form text generation. I will discuss the key issues in synthetic clinical text generation and a methodology to synthesise full-length clinical notes under strong DP constraints. The method structurally separates content and form, and generates section-wise note content conditioned on clinical profile of patients, with terms and notes privatised under separate DP constraints. To ensure quality, a DP quality maximiser enhances synthetic notes by selecting high-quality outputs. I will also introduce a validation framework, and demonstrate how the corpus generated by the proposed method aligns with real clinical notes (MIMIC). Speaker's bio: Goran Nenadic is a Professor of Computer Science at the University of Manchester. His research focuses on making sense of large-scale free-text data by combining rule-based and data-intensive approaches. He mainly works in the healthcare domain, exploring clinical coding, temporal clinical information extraction and anonymisation of clinical free-text data. He currently leads a DARE UK project on federated generation of synthetic textual healthcare records. The project explores how synthetic clinical text can be generated and validated for safe use. Combining differential privacy with strong public and regulatory engagement, the project will test whether synthetic free-text data can meaningfully support research and federated learning while reducing privacy risks. Goran also leads the UK healthcare text analytics network (Healtex) and a DARE UK working group (Safetext) to develop national protocols for the responsible use of healthcare free-text data in AI development. We will update future talks on the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars Joining our *Google group* for future seminars and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…

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Deadline extension CMCL @ LREC 2026
by Takmaz, E.K. (Ece) 26 Feb '26

26 Feb '26

Dear all, We have extended the deadline to February 28, 11:59 pm AOE! ----- The 15th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2026) will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC 2026), at the Palau de Congressos de Palma in Palma, Mallorca, Spain. Workshop: May 16, 2026 Website: https://sites.google.com/view/cmclworkshop/cfp<https://sites.google.com/view/cmclworkshop/cfp?authuser=0> For questions, please contact cmclworkshop.organizers(a)gmail.com<mailto:cmclworkshop.organizers@gmail.com>

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[JOBS] E13, 75%, 3.5 years, Computational Linguistics, Bochum
by Tatjana Scheffler 25 Feb '26

25 Feb '26

Dear colleagues, conditional on a funding commitment, we are offering a 75% position leading to a PhD in computational linguistics on the topic of developing computational methods for the analysis of (multimodal) metaphors in contemporary, colloquial communication in online forums. The position is funded (E13, 75%) from July 1 2026 to Dec. 31 2029. Application deadline: March 30, 2026. More details can be found in the job ad: https://jobs.ruhr-uni-bochum.de/jobposting/f67b2069885e8908b2b3078b550e37a9… Please feel free to forward this opportunity to suitable candidates! best regards Tatjana Scheffler --- Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Digital Forensic Linguistics Fakultät für Philologie, Germanistisches Institut Universitätsstraße 150 44780 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Mastodon: https://fediscience.org/@tschfflr Tel.: +49 234 32-21471

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Corpora February 2026