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[Deadline Extension] 3rd Call for papers: NLPerspectives – The 5th Workshop on Perspectivist Approaches to NLP
by s.frenda＠hw.ac.uk 16 Feb '26

16 Feb '26

The 5th Workshop on Perspectivist Approaches to NLP Collocated with LREC in Palma de Mallorca https://nlperspectives.di.unito.it/ Important Dates * March 2: Paper submission * March 20: Notification of acceptance * March 30: Camera-ready papers due * May 12, 2026: NLPerspectives workshop at LREC NLPerspectives Until recently, language resources supporting many tasks in Natural Language Processing (NLP) and other areas of Artificial Intelligence (AI) have been based on the assumption of a single ‘ground truth’ label sought via aggregation, adjudication, or statistical means. However, the field is increasingly focused on subjective and controversial tasks, such as quality estimation or abuse detection, in which multiple points of view may be equally valid (for a complete overview see Frenda et al., 2024). Data Perspectivism is a proposed solution to deal with subjectivity (Cabitza et al., 2023). Perspectivist approaches leverage human label variation (Plank, 2022; Sorensen et al., 2024) to better account for user diversity (Prabhakaran et al., 2021) and adopt evaluation strategies capable of embracing disagreement (Uma et al., 2021, Lo et al., 2025, Leonardelli et al., 2025). In the previous editions of the workshop, different aspects of perspectivist NLP were discussed, including ties to participatory design, personalisation, computer vision, and multimedia research and multicultural awareness in modelling. The fifth edition of the workshop will widen the discussed methodology to include not only current and ongoing work on collecting non-aggregated datasets, mining and modelling perspectives, but also approaches to evaluation of perspectivist models, looking in particular at their application in real-world scenarios. In addition, it will involve techniques from social science and Human-Computer Interaction, such as participatory approaches and how they can be implemented at all stages of the supervised learning pipeline. The NLPerspectives workshop will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC) held at the Palau de Congressos de Palma in Palma de Mallorca, Spain, on 11-16 May 2026. Submissions 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 your 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). In addition, authors will be required to adhere to ethical research policies on AI and should include an ethics statement in their papers. The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of the LREC conference. Templates are provided here. We accept three types of submissions: Regular research papers; Non-archival submissions: like research papers, but will not be included in the proceedings; (Non-archival) research communications: 1-page abstracts summarising relevant research published elsewhere. NLPerspectives will also accept submissions that have been rejected from ACL rolling review, provided they are accompanied by their reviews, and they fit the topic of the workshop. Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 1 pages of content. Please make submissions at https://softconf.com/lrec2026/NLPerspectives Topics We invite original research papers from a wide range of topics, including but not limited to: Non-aggregated data collection and annotation frameworks Descriptions of corpora collected under the perspectivist paradigm Multi-perspective Modelling and Machine Learning Evaluation of multi-perspective or disagreement aware models Multi-perspective disagreement as applied to NLP evaluation Fairness and inclusive modelling Perspectivist approaches for social good Applications of multi-perspective modelling Computing with (dis)agreement Perspectivist Natural Language Generation Perspectivism in multimodal AI Foundational aspects of perspectivism Participatory approaches and human label variation Opinion pieces and reviews on perspectivist approaches to NLP Capabilities of Perspectivist Models in Real-World Systems Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance The workshop will follow the attendance policy of the main conference. Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, Northeastern University Simona Frenda, Heriot-Watt University Elisa Leonardelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk if you have any questions. Website: https://nlperspectives.di.unito.it/

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Third CfP: The 2nd Workshop on Language-driven Deliberation Technology (DELITE) at LREC 2026 (deadline extension)
by Neele Falk 16 Feb '26

16 Feb '26

----------------------------------------------------------- Third Call for Papers: DELITE 2026 The 2nd Workshop on Language-driven Deliberation Technology Co-located with LREC 2026, Palma, Mallorca (Spain) ----------------------------------------------------------- OVERVIEW -------- Deliberation is ubiquitous: from navigating divergent interests in everyday personal life to reaching consensus in the political decision making process, deliberation describes the communicative process by which a group of people exchange ideas, weigh different arguments, and ultimately reach mutual understanding. In recent years, deliberative processes have gained momentum and shown to improve everyday and political decision-making. For the first time, technological solutions are maturing to the point that they can be deployed to support deliberation. The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes. The topic is particularly timely in the age of LLMs and collective intelligence, which has heightened the awareness of the public to the potentials and drawbacks of language technology. While LLMs are transforming the way that much AI research is carried out, it is becoming clear that handling natural argumentation, particularly the sort of discussion found in deliberative settings, presents deep challenges for LLMs that are not likely to be overcome soon. The complex pragmatic structure of such discussions, the subjectivity of the phenomena involved (emotions, storytelling), nuanced presentation, framing and reframing of ideas, and resolution of differences of opinion all lay many orders of magnitude beyond the current parameterization spaces of such models. We view deliberation as an exercise in Collective Intelligence—the enhanced capacity of groups to make decisions due to collaboration and structured interaction. AI systems should augment and never replace human deliberation, by supporting facilitators, providing discussion summaries, and amplify/enact diversity in group decision making processes. TOPICS OF INTEREST ------------------ We welcome submissions that address the gaps facing this nascent field, including the scarcity of data on large-scale deliberation, the need for stakeholder requirements, and the need for technology that fosters trust. Topics include, but are not limited to: * Deliberation theory in NLP models * In-domain versus across domain resources * Integrating language systems into deliberation processes and interfaces * Technological solutions for online deliberation at scale * Argument mining for deliberation scenarios * Visualizing language systems results for human sensemaking * Empirical foundations for evaluation * Integrating and reflecting on recent advances in LLMs for deliberation scenarios * Collective Intelligence frameworks for deliberation at scale * Human-AI collaboration in group decision-making * Explainability, ethical questions, and addressing bias APPLICATION AREAS ----------------- We welcome submissions from all areas of application, including public policy making, democratic innovations, deliberative democracy, political decision making, citizen engagement and co-creation, intelligence services and military, conflict resolution/mitigation, case analysis in healthcare, legal decision making, and scholarly discourse. SUBMISSION ---------- DELITE 2026 introduces new submission formats to foster diversity and inclusion, specifically opening the venue to junior researchers and fields where conference papers are not standard (e.g., Social Sciences). * Standard Papers: Oral and poster presentations of long and short papers. * Extended Abstracts (non-archival): A new format designed to be inclusive of researchers from fields where conference papers are not standard (e.g., Social Sciences). * PhD Project Proposals: A non-archival submission option allowing doctoral students to collect feedback on their research plans without the pressure of a full-fledged publication. * Non-Archival Reports: Poster presentations of non-archival reports of ongoing projects to serve community building. Standard papers must describe original (completed or in progress) and unpublished work. These papers can be long (8 pages, excluding references) or short (4 pages, excluding references) and must be anonymized to support double-blind reviewing, i.e., they must not include authors’ names and affiliations and should avoid links to non-anonymized repositories. Standard papers that do not conform to these requirements will be rejected without review. Extended abstracts and non-archival papers must be at most 2 pages, excluding references and an additional page as an appendix for tables/figures. Submission of all papers is electronic, using the Softconf START conference management system. Papers must follow the LREC 2026 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Submission link:https://softconf.com/lrec2026/DELITE2026/ 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 your 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)". IMPORTANT DATES --------------------- * Archival paper submission: 27 February 2026 (extension) * Non-archival paper submission: 2 March 2026 * Notification of acceptance: 16 March 2026 * Camera-ready: 30 March 2026 * Workshop day: 16 May 2026 WORKSHOP ORGANIZERS ------------------- * Lucas Anastasiou, The Open University, UK * Katarina Boland, Heinrich Heine University Düsseldorf, Germany * Anna De Liddo, The Open University, UK * Neele Falk, University of Stuttgart, Germany * Annette Hautli-Janisz, University of Passau, Germany * Gabriella Lapesa, GESIS Leibniz Institute for the Social Sciences, Germany & Heinrich-Heine University of Düsseldorf, Germany * Julia Romberg, GESIS Leibniz Institute for the Social Sciences, Germany CONTACT --------------------- e-mail:lucas.anastasiou@open.ac.ukwebsite:https://idea.kmi.open.ac.uk/the-2nd-workshop-on-language-driven-deliberation-technology/ ---------------------

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Final Call for Papers: 6th RaPID@MENTAL.ai @ LREC-2026
by Dimitrios Kokkinakis 16 Feb '26

16 Feb '26

Final Call for Papers: The 6th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" in collaboration with the MENTAL.ai -consortium Workshop: co-located with LREC 2026 | Palma de Mallorca, Spain | May 12th, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. Submission deadline: Sun., 22nd of February, 2026 (anywhere on earth) Paper submission: https://softconf.com/lrec2026/RaPID-6/ Invited speakers: Brian MacWhinney, Carnegie Mellon University, USA and Sunny X. Tang, MD, Feinstein Institutes for Medical Research, Northwell Health, USA Website and details: https://spraakbanken.gu.se/rapid-2026 Contact: Dimitrios Kokkinakis Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se> Organizing committee: * Dimitrios Kokkinakis, University of Gothenburg, Sweden * Charalambos Themistocleous, University of Oslo, Norway * Gaël Dias, University of Caen Normandie, France * Kathleen C. Fraser, University of Ottawa, Canada * Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden * Sebastião Pais, University of Beira Interior, Portugal

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Final Call for Papers: Workshop on Structured Linguistic Data and Evaluation (LREC 2026)
by Thorsten Trippel 16 Feb '26

16 Feb '26

Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at LREC 2026, 11-16 May 2026, Palma, Mallorca (Spain) In the last ten years, significant advances in deep learning models and the development of Large Language Models (LLMs) have revolutionized the fields of computational linguistics (CL) and natural language processing (NLP). In turn, this has led to a complete re-assessment of the language resources and evaluation practices necessary for training LLMs and analyzing their outputs. In particular, the availability of very large amounts of unstructured data for training foundational models has come into focus, while the value of high-quality structured linguistic data with rich annotations at various levels of linguistic analysis has been downplayed by comparison. However, as CL and NLP practitioners engage further with LLMs and debate their strengths and weaknesses, the importance of high-quality, structured linguistic data has been re-emphasized. The proposed workshop can be seen as related to the Treebanks and Linguistic Theories (TLT) conference series and the more recent SyntaxFest venue. Over the years, these venues have provided a central forum for high-quality research on treebanks, syntactic theory, syntax-semantics interface, structured meaning representations, and annotated linguistic resources. With record participation in recent years, they demonstrate the vitality and relevance of this line of work. The Workshop on Structured Linguistic Data is conceived as both a continuation of this tradition and an adaptation to the new realities of an LLM-dominated research landscape. The workshop will bring together researchers from these overlapping traditions to advance methods, resources, and practices for integrating structured linguistic data into the LLM era. Topics of interest include but are not limited to: Linguistic Data Analyses, Language Resources, and Evaluation Grammar processing with NLP and LLM-based tools Phonological and morphological analysis and LLM tokenization Annotation strategies with LLM-empowered methodologies and tools Design principles and annotation schemes for structured linguistic data Multi-lingual and cross-lingual settings Mapping of structured linguistic data to Linked Open Data resources Evaluation informed by language typology Language resources for under-resourced and endangered languages The use of structured linguistic data for NLP applications The use of structured linguistic data in acquiring linguistic knowledge (Semi-)automatic methods for creating structured linguistic data Spoken language Data Speech-to-text applications Speech Generation techniques Speech data preparation, curation and evaluation Multimodality and Situated Dialogue Structured multimodal resources: gesture AMR (GAMR), gaze and posture annotation, multimodal dialogue corpora. Multimodal grounding: linking language with visual, gestural, and action representations Structured representations for co-attention and alignment in multiparty dialogue Multimodal evaluation resources for LLMs Pragmatics and Discourse Structured data for discourse and dialogue: discourse relation annotation, coherence structures, dialogue acts Pragmatic annotation (speech acts, presupposition, implicature, politeness, stance) Structured approaches to common ground tracking and Theory of Mind in LLMs Semantics and Lexical Meaning Dependency analysis and semantic parsing Annotation beyond syntax: semantics, pragmatics and discourse Structured data for lexical semantics: sense inventories, semantic frames, qualia structure, and type-theoretic resources Computational semantics resources: Abstract Meaning Representation (AMR), Universal Meaning Representation (UMR), Discourse, Representation Structures, Minimal Recursion Semantics (MRS), Type Theory with Records (TTR) Distributional and neural-symbolic representations of lexical meaning: (e.g., Holographic Reduced Representations (HRR), hyperdimensional computing) for structured LLM grounding Aligning vector-based meaning representations with symbolic/typed structures We invite paper submissions in two distinct tracks: regular papers on substantial and original research, including empirical evaluation results, where appropriate – 6 to 8 pages excluding references and potential ethics statements; short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces – 4 to 6 pages excluding references and potential ethics statements. Invited speakers Naiara Perez (University of the Basque Country) Shira Wein (Amherst College) Paper Submission and Templates Submission follows the LREC 2026 conference instructions, using the START conference management system. Submissions should follow the LREC stylesheet, available on the conference website on the Author’s kit page. For more information about paper submission, please consult: https://www.slide-workshop.org/ Papers must be anonymized to support double-blind reviewing. Important Dates February 22, 2026: Paper submission deadline March 15, 2026: Notification of acceptance March 25, 2026: Camera-ready papers May 2026: Workshop at LREC 2026 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Workshop Organizers Jan Hajič (Charles University, Czech Republic) Erhard Hinrichs (Tübingen University, Germany) Sandra Kübler (Indiana University, USA) Joakim Nivre (Uppsala University, Sweden) Petya Osenova (Sofia University and IICT-BAS, Bulgaria) James Pustejovsky (Brandeis University, USA)

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First call for participation - MentalRiskES@IberLEF2026: Early detection of mental risk
by María Dolores Molina González 16 Feb '26

16 Feb '26

*Registration open!!* ****We apologize for multiple postings of this e-mail**** MentalRiskES2026 announces the fourth edition of a novel and enhanced task on early risk identification of mental disorders in Spanish comments from social media sources. Unlike previous editions (IberLEF 2023, 2024, and 2025), this edition introduces significant innovations: psychologists are now actively involved in generating and validating the data, which ensures a closer connection to real clinical settings. The task continues to be solved as an online problem, requiring participants to detect potential risks as early as possible in a continuous stream of data. Consequently, performance depends not only on the accuracy of the systems but also on the speed of detection, reflecting these dynamics in both task design and evaluation metrics. For this fourth edition, we propose two entirely new tasks: the first subtask focuses on the detection of symptoms, while the second subtask addresses decision support for therapeutic interventions. We would like to invite you to participate in the following tasks: *1. Early Symptom Detection in Therapeutic Conversations2. Therapist Response Selection* Find out more at https://sites.google.com/view/mentalriskes2026. <https://sites.google.com/view/mentalriskes2026> MentalRiskES 2026 is part of the IberLEF Workshop and will be held in conjunction with the SEPLN 2026 conference in León (Spain). ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- *Feb 9th Registration open* Mar 27th Release of trial corpora (trial server available) Apr 6th Registration closed Apr 13th Release of test corpora and start of the evaluation campaign (test server available and trial submissions closed) Apr 20th End of evaluation campaign (deadline for submission of runs) Apr 27th Publication of official results and release of test gold labels May 11th Deadline for paper submission June 1st Acceptance notification Jun 15th Camera-ready submission deadline Sep TBD Publication of proceedings Note: All deadlines are 11:59PM UTC-12:00 Please reach out to the organizers at MentalRiskEs@IberLEF2026. The MentalRiskES 2026 organizing committee. ----------------------------------------------------------- Mas informacion sobre listas de correo en la Univ. de Jaen http://www.ujaen.es/sci/redes/listas/ -----------------------------------------------------------

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2nd CFP: SwissText 2026 – The 11th Swiss Text Analytics Conference
by Yingqiang Gao 16 Feb '26

16 Feb '26

========== Second Call of Papers: SwissText 2026 ========== Paper submission due: 23:59 AOE March 17, 2026 Conference date: June 10, 2026 in Zurich, Switzerland Conference website: https://www.swisstext.org/current/ =================================================== Dear colleagues, We are now announcing the Second Call for Papers for SwissText 2026, the 11th edition of the Swiss Text Analytics Conference. SwissText 2026 will take place on June 10, 2026, at the University of Zurich (Campus Oerlikon) in Zurich, Switzerland. SwissText is an established international forum for researchers and practitioners working on natural language processing, computational linguistics, and text analytics, with a strong tradition of fostering exchange between academia and industry. We invite submissions of substantial, original, and unpublished work to the following tracks: * Applied Track (non-archival), with a strong focus on industry and applied research. * Scientific Track (archival), with technical research papers from the international scientific community, including corpus- and benchmark-related research papers with a focus on Swiss languages from the scientific community and industry. * Corpus Track (archival), with Swiss-related NLP datasets. * Demonstration Track (non-archival), with NLP systems presented live at the SwissText conference. The special theme of SwissText 2026 is Reproducible NLP, we therefore encourage submissions working specifically in reproducible NLP research and fully open NLP. We plan to publish the proceedings of SwissText 2026 in the ACL Anthology. Important dates * Submission deadline: March 17, 2026 * Notification of acceptance: April 21, 2026 * Camera-ready deadline: May 5, 2026 * Conference date: June 10, 2026 All deadlines are at 11:59PM UTC-12:00 AOE (“anywhere on Earth”). Detailed submission guidelines and formatting instructions can be found on the conference website: https://www.swisstext.org/call-for-papers/. Please submit your paper via OpenReview: https://openreview.net/group?id=SwissText.org/2026/Conference. General Chair: Prof. Dr. Rico Sennrich, University of Zurich Organizing Committee: Jannis Vamvas, Tilia Ellendorff, Yingqiang Gao, Gerold Schneider, Michelle Wastl, University of Zurich For questions, please contact info(a)swisstext.org<mailto:info@swisstext.org> or the organizing committee members. Best regards, Dr. Yingqiang Gao (he/him) Department of Computational Linguistics Andreasstrasse 15, Office AND 2-20 University of Zurich, CH-8050 Zurich

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Last CFP: Workshop on Structured Linguistic Data and Evaluation (SLiDE) at LREC 2026
by Petya Osenova 15 Feb '26

15 Feb '26

Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at <https://lrec2026.info/> LREC 2026<https://lrec2026.info/>, 11-16 May 2026, Palma, Mallorca (Spain) The workshop will be held on May 11, 2026 Webpage: https://www.slide-workshop.org/ Last Call For Papers In the last ten years, significant advances in deep learning models and the development of Large Language Models (LLMs) have revolutionized the fields of computational linguistics (CL) and natural language processing (NLP). In turn, this has led to a complete re-assessment of the language resources and evaluation practices necessary for training LLMs and analyzing their outputs. In particular, the availability of very large amounts of unstructured data for training foundational models has come into focus, while the value of high-quality structured linguistic data with rich annotations at various levels of linguistic analysis has been downplayed by comparison. However, as CL and NLP practitioners engage further with LLMs and debate their strengths and weaknesses, the importance of high-quality, structured linguistic data has been re-emphasized. The proposed workshop can be seen as related to the Treebanks and Linguistic Theories (TLT) conference series and the more recent SyntaxFest venue. Over the years, these venues have provided a central forum for high-quality research on treebanks, syntactic theory, syntax-semantics interface, structured meaning representations, and annotated linguistic resources. With record participation in recent years, they demonstrate the vitality and relevance of this line of work. The Workshop on Structured Linguistic Data is conceived as both a continuation of this tradition and an adaptation to the new realities of an LLM-dominated research landscape. The workshop will bring together researchers from these overlapping traditions to advance methods, resources, and practices for integrating structured linguistic data into the LLM era. Topics of interest include but are not limited to: Linguistic Data Analyses, Language Resources, and Evaluation * Grammar processing with NLP and LLM-based tools * Phonological and morphological analysis and LLM tokenization * Annotation strategies with LLM-empowered methodologies and tools * Design principles and annotation schemes for structured linguistic data * Multi-lingual and cross-lingual settings * Mapping of structured linguistic data to Linked Open Data resources * Evaluation informed by language typology * Language resources for underresourced and endangered languages * The use of structured linguistic data for NLP applications * The use of structured linguistic data in acquiring linguistic knowledge * (Semi-)automatic methods for creating structured linguistic data Spoken language Data * Speech-to-text applications * Speech Generation techniques * Speech data preparation, curation and evaluation Multimodality and Situated Dialogue * Structured multimodal resources: gesture AMR (GAMR), gaze and posture annotation, multimodal dialogue corpora. * Multimodal grounding: linking language with visual, gestural, and action representations * Structured representations for co-attention and alignment in multiparty dialogue * Multimodal evaluation resources for LLMs Pragmatics and Discourse * Structured data for discourse and dialogue: discourse relation annotation, coherence structures, dialogue acts * Pragmatic annotation (speech acts, presupposition, implicature, politeness, stance) * Structured approaches to common ground tracking and Theory of Mind in LLMs Semantics and Lexical Meaning * Dependency analysis and semantic parsing * Annotation beyond syntax: semantics, pragmatics and discourse * Structured data for lexical semantics: sense inventories, semantic frames, qualia structure, and type-theoretic resources * Computational semantics resources: Abstract Meaning Representation (AMR), Universal Meaning Representation (UMR), Discourse, Representation Structures, Minimal Recursion Semantics (MRS), Type Theory with Records (TTR) * Distributional and neural-symbolic representations of lexical meaning: (e.g., Holographic Reduced Representations (HRR), hyperdimensional computing) for structured LLM grounding * Aligning vector-based meaning representations with symbolic/typed structures We invite paper submissions in two distinct tracks: * regular papers on substantial and original research, including empirical evaluation results, where appropriate – 8 pages excluding references and potential ethics statements; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces – 4 pages excluding references and potential ethics statements. Invited speakers Naiara Perez (University of the Basque Country) Shira Wein (Amherst College) Paper Submission and Templates * Submission follows the LREC 2026 conference instructions, using the Softconf START conference management system accessible through the following link: https://softconf.com/lrec2026/SLiDE/ * Submissions should follow the LREC stylesheet, available on the conference website on the <https://lrec2026.info/authors-kit/> Author’s kit<https://lrec2026.info/authors-kit/> page. Papers must be anonymized to support double-blind reviewing. Important Dates February 22, 2026: Paper submission deadline March 15, 2026: Notification of acceptance March 25, 2026: Camera-ready papers May 2026: Workshop at LREC 2026 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Workshop Organizers Jan Hajič (Prague University, Czech Republic) Erhard Hinrichs (Tübingen University, Germany) Sandra Kübler (Indiana University, USA) Joakim Nivre (Uppsala University, Sweden) Petya Osenova (Sofia University, Bulgaria) James Pustejovsky (Brandeis University, USA)

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Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026: Final CFP and EXTENDED DEADLINE
by Paul Thompson 14 Feb '26

14 Feb '26

Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026 https://bionlp.nlm.nih.gov/cl4health2026/ LREC 2026 Palma, Mallorca (Spain) SCOPE CL4Health fills the gap among the different biomedical language processing workshops by providing a general venue for a broad spectrum of patient-oriented language processing research. The third workshop on patient-oriented language processing follows the successful CL4Health workshops (co-located with LREC-COLING 2024 and NAACL 2025), which clearly demonstrated the need for a computational linguistics venue focused on language related to public health. CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions. The workshop invites papers concerning all areas of language processing focused on patients' health and health-related issues concerning the public. The issues include, but are not limited to, accessibility and trustworthiness of health information provided to the public; explainable and evidence-supported answers to consumer-health questions; accurate summarization of patients' health records at their health literacy level; understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research. The topics of interest for the workshop include, but are not limited to the following: * Health-related information needs and online behaviors of the public; * Quality assurance and ethics considerations in language technologies and approaches applied to text and other modalities for public consumption; * Summarization of data from electronic health records for patients; * Detection of misinformation in consumer health-related resources and mitigation of potential harms; * Consumer health question answering (Community Question Answering)(CQA); * Biomedical text simplification/adaptation; * Dialogue systems to support patients' interactions with clinicians, healthcare systems, and online resources; * Linguistic resources, data, and tools for language technologies focusing on consumer health; * Infrastructures and pre-trained language models for consumer health; Resubmissions from the LREC Main Conference We welcome submissions of topically-relevant papers that have been rejected from the main LREC conference. The scores and reviews from the main conference will be taken into consideration. Please ensure that you paste the original review and scores within the indicated text box on the submission page. IMPORTANT DATES February 18 25, 2026 -Workshop Paper Due Date️ March 13, 20 2026 - Notification of acceptance March 20 28 2026 - Camera-ready papers due April 10, 2026 - Pre-recorded video due (hard deadline) May 12, 2026 - Workshop KEYNOTE TALK Kailai Yang, Department of Computer Science, University of Manchester SHARED TASKS Detecting Dosing Errors from Clinical Trials (CT-DEB'26). Clinical Trials Dosing Errors Benchmark 2026 is a challenge to predict medication errors in clinical trials using Machine Learning. The Clinical Trials Dosing Errors Benchmark 2026 (CT-DEB'26) is dedicated to automated detection of the risks of medication dosing errors within clinical trial protocols. Leveraging a curated dataset of over 29K trial records derived from the ClinicalTrials.gov<http://clinicaltrials.gov/> registry, participants are challenged to predict the risk probabilities of protocols likely to manifest dosing errors. The dataset consists of various fields with numerical, categorical, as well as textual data types. Once the shared task is concluded and the leaderboard is published, the participants are invited to submit a paper to the CL4Health workshop. Website: https://www.codabench.org/competitions/11891/ Automatic Case Report Form (CRF) Filling from Clinical Notes. Case Report Forms (CRFs) are standardized instruments in medical research used to collect patient data in a consistent and reliable way. They consist of a predefined list of items to be filled with patient information. Each item aims to collect a portion of information relevant for a specific clinical goal (e.g., allergies, chronicity of disease, tests results). Automating CRF filling from clinical notes would accelerate clinical research, reduce manual burden on healthcare professionals, and create structured representations that can be directly leveraged to produce accessible, patient- and practitioners-friendly summaries. Even though the healthcare community has been utilizing CRFs as a basic tool in the day-to-day clinical practice, publicly available CRF datasets are scarce, limiting the development of robust NLP systems for this task. We present this Shared Task on CRF-filling aiming to enhance research on systems that can be applied in real clinical settings. Website: https://sites.google.com/fbk.eu/crf/ ArchEHR-QA 2026: Grounded Question Answering from Electronic Health Records. The ArchEHR-QA (“Archer”) shared task focuses on answering patients’ health-related questions using their own electronic health records (EHRs). While prior work has explored general health question answering, far less attention has been paid to leveraging patient-specific records and to grounding model outputs in explicit clinical evidence, i.e., linking answers to specific supporting content in the clinical notes. The shared task dataset consists of patient-authored questions, corresponding clinician-interpreted counterparts, clinical note excerpts with sentence-level relevance annotations, and reference clinician-authored answers grounded in the notes. ArchEHR-QA targets the problem of producing answers to patient questions that are supported by and explicitly linked to the underlying clinical notes. This second iteration builds on the 2025 challenge (which was co-located with the ACL 2025 BioNLP Workshop) by expanding the dataset and introducing four complementary subtasks spanning question interpretation, clinical evidence identification, answer generation, and answer–evidence alignment. Teams may participate in any subset of subtasks and will be invited to submit system description papers detailing their approaches and results. Website: https://archehr-qa.github.io/ FoodBench-QA 2026: Grounded Food & Nutrition Question Answering. FoodBench-QA 2026 is a shared task challenging systems to answer food and nutrition questions using evidence from nutrient databases and food ontologies.The dataset includes realistic dietary queries, ingredient and their quantities lists, and recipe descriptions, requiring models to perform nutrient estimation, FSA traffic-light prediction, and food entity recognition/linking across three food semantic models. Participants must generate accurate, evidence-based answers across these subtasks (or at least one of it). After the shared task concludes and the leaderboard is released, participants will be invited to submit their work to the Shared Tasks track of the CL4Health workshop at LREC 2026. Website: https://www.codabench.org/competitions/12112/ SUBMISSIONS Two types of submissions are invited: - Full papers: should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research. - Short papers: may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions need to be anonymous. Papers should follow LREC 2026 formatting. LREC provides style files for LaTeX and Microsoft Word at https://lrec2026.info/authors-kit/. Submission site: https://softconf.com/lrec2026/CL4Health/ Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. Share your LRs: 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 your 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). MEETING The workshop will be hybrid. Virtual attendees must be registered for the workshop to access the online environment. Accepted papers will be presented as posters or oral presentations based on the reviewers’ recommendations. ORGANIZERS - Deepak Gupta, US National Library of Medicine - Paul Thompson, National Centre for Text Mining and University of Manchester, UK - Dina Demner-Fushman, US National Library of Medicine - Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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Invitation to participate
by Lars-Eric Christer Johansson 14 Feb '26

14 Feb '26

We are arranging a workshop / training seminar aimed at advanced MA students and Ph.D. scholarship students. May 4th to May 6th, 2026. Bergen University. There will be a reasonable conference fee covering snacks and lunches. Calls for poster presentations will open soon. Registration will open soon. See https://www.uib.no/en/lle/181518/workshop-tracking-eyes-and-mind

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Public talk - Across the Magic Circle: AI Agents as a Creative Medium for Interactive Storytelling (Dr Yuqian Sun, Midjourney)
by h.dong2＠exeter.ac.uk 13 Feb '26

13 Feb '26

We welcome you to the next Natural Language Processing and Vision (NLPV) seminars at the University of Exeter. Zoom scheduled: Thursday 19 Feb 2026 at 15:30 to 17:00 (expected to finish around 16:30), GMT Location: https://Universityofexeter.zoom.us/j/92623498359?pwd=zPDKXy6XqUqEFKkQG2xPlE… (Meeting ID: 926 2349 8359 Password: 542291) Title: Across the Magic Circle: AI Agents as a Creative Medium for Interactive Storytelling Abstract: As an artist and researcher, I use AI chatbots as my primary expressive medium. My work explores the intersection of LLM applications, interactive storytelling, and computational art. In this talk, I will present research projects that extend generative AI’s storytelling capabilities. These include the game 1001 Nights, in which players must survive an AI King by telling stories; an art installation based on an emergent language system inspired by Nüshu (a historical women’s script created and used exclusively by women in China); and Dramamancer, an AI game-making system built with Midjourney. Speaker's bio: Dr Yuqian (Uchan) Sun, also known as CheeseTalk, is an AI research artist based in London. She's now working at Midjourney. Yuqian aims to create 'alive' narrative experiences that extend beyond video games and into our daily lives through conversational AI agents. She explores linguistic interactions through chatbots, games and interactive installations. Yuqian's interdisciplinary arts and research have been featured in galleries and tech conferences including SIGGRAPH, CVPR, NeurIPS, GDC, Gamescom, AMaze and New York Times Square. She won the Reddot Design Award and Lumen Prize in 2024. Personal website https://fakecheese.me/ X @cheesetalk1997 Check past and upcoming seminars at the following url: 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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