February 2026 - Corpora

1st CFP: Workshop on Style in GenAI Translated Content (StyGenAI @ EAMT-2026)
by sami.haq2＠mail.dcu.ie 03 Feb '26

03 Feb '26

Call for Papers StyGenAI: Workshop on Style in GenAI Translated Content We are excited to announce the StyGenAI workshop, which will take place in conjunction with EAMT 2026 (European Association for Machine Translation) from 15–18 June 2026 at the Schaumburg Concertzaal in Tilburg, the Netherlands. The workshop will be part of a vibrant international conference bringing together researchers and practitioners at the forefront of machine translation and language technologies. More information about the main conference is available at https://eamt2026.org/ About the workshop: The advent of Generative Artificial Intelligence has profoundly reshaped the landscape of translation. Moving beyond traditional machine translation paradigms, large language models (LLMs) now operate as translation agents capable of producing linguistically fluent and stylistically complex texts. As a result, translation is no longer only a matter of accuracy or adequacy, but increasingly one of style. As LLMs are adopted for translation tasks, their outputs reveal distinctive linguistic and stylistic patterns. These patterns differ in subtle but consequential ways from those found in both human translation and conventional MT systems. While such differences are often perceived intuitively by readers and practitioners, they remain underexplored from a systematic, research-driven perspective. This evolving scenario raises a set of pressing questions: What are the stylistic features of GenAI-produced translations? How do they differ from those generated by traditional MT systems? And how do they compare to human translations across genres, languages, and contexts? StyGenAI is the first workshop dedicated specifically to the study of style in GenAI-translated content. The workshop aims to bring together researchers interested in AI translation stylistics, including recurrent stylistic patterns, departures from human translation style, and the linguistic, technical, and contextual factors that modulate AI-generated output. Particular attention is given to the role of text genre, language pair, and prompt design or prompting strategies in shaping the stylistic profile of GenAI translations. The workshop provides a forum for interdisciplinary dialogue at the intersection of translation studies, computational linguistics, stylistics, and AI evaluation. Contributions are welcomed from both empirical and conceptual perspectives, as well as from research that bridges academic inquiry and professional practice. The workshop welcomes empirical, methodological, and conceptual contributions from translation studies, computational linguistics, stylistics, and related fields. We invite submissions addressing, but not limited to, the following topics: Stylistic fingerprints of LLM-based translation in comparison with conventional MT systems and professional human translation The influence of prompting strategies (for example, role prompting, constraints, zero-shot, one-shot, and few-shot approaches) on stylistic outcomes Cross-genre analyses of AI translation style in literary, academic, journalistic, technical, and social media texts Authorial voice and style preservation across languages in GenAI-mediated translation Language-specific manifestations of machine-like or synthetic stylistic patterns Methodologies for evaluating stylistic adequacy and stylistic variation in AI-generated translations Cognitive effort and decision-making in post-editing LLM output for stylistic quality as opposed to content accuracy Cultural, pragmatic, or discourse-level mismatches introduced by AI translation choices The handling of irony, humour, voice, and other stylistically marked devices in GenAI translation Human–AI hybrid workflows for style-sensitive translation tasks Pedagogical approaches to training translators to identify, assess, and correct AI-generated stylistic patterns Diachronic or longitudinal analyses of stylistic change as LLMs and prompting practices evolve Submission Information The workshop invites research papers reporting original work. Papers should be 4–10 pages in length, excluding references. Accepted papers will be published in the workshop proceedings and made available online via the ACL Anthology. Submissions must follow the EAMT 2026 formatting guidelines and templates and be submitted via the EasyChair system. Workshop website: https://sites.google.com/view/workshopstygenai?usp=sharing Important Dates Workshop paper submission deadline: 27 April 2026 Notification of acceptance: 12 May 2026 Camera-ready papers due: 20 May 2026

1 0

2nd CfP: 12th Workshop on the Representation and Processing of Sign Languages (sign-lang@LREC 2026)
by Schulder, Dr. Marc 03 Feb '26

03 Feb '26

Event: 12th Workshop on the Representation and Processing of Sign Languages (sign-lang@LREC 2026) Submission deadline: 14 February 2026 Workshop date: 16 May 2026 Website: https://www.sign-lang.uni-hamburg.de/lrec2026/ Submission page: https://softconf.com/lrec2026/signlang2026/ CALL FOR PAPERS Submissions are invited for a full day workshop on sign language resources and technologies, to take place on 16 May 2026 as a satellite event of LREC 2026 in Palma de Mallorca, Spain. As in the previous four years, the workshop will be a hybrid event. During the past years, a number of large-scale sign language corpus projects have started. Some have already been completed, but many more projects are about to start. At the same time, sign language technologies are maturing and are promising to support the time-consuming basic annotation. The workshop aims at bringing together those researchers who already work with multimodal sign language corpora (and those who see the need for empirical underpinnings of their current research) with those who develop sign language technologies. It provides the platform to compare competing approaches. As sign language resource technologies build to a large extent on methodologies and tools used in the language resource community in general, but add very specific perspectives (e.g. no writing system established, use of video as data source) and works with a different modality of human language, sign language research is able to feed back to the language resource community at large. At the same time, as the raw data are in the visual domain, the field naturally bridges into Computer Vision. Thus, researchers use Machine Learning methods on both visual and linguistic data. We invite submissions of papers to be presented either on stage (20 minutes plus 10 minutes discussion), as posters (with or without demonstrations) or remotely (poster PDF plus text chat) on the following topics: 2026 SPECIAL TOPIC: LANGUAGE IN MOTION Motion is at the core of sign languages, both literally, through their existence in the visual-gestural modality, and figuratively, in how their communities drive language change. Equally, sign language research must stay in motion, adapting to new insights and technological possibilities, advancing how we create and use resources, evolving the capabilities of tools, and pushing the boundaries of what can be expected from the field, both technologically and ethically. We especially invite contributions relating to the representation and processing of sign languages that address these various facets of language in motion, but also welcome papers on other general issues relating to sign language resources and technologies. GENERAL ISSUES ON SIGN LANGUAGE CORPORA AND TOOLS • Evaluation of sign language resources • Experiences in building sign language corpora • Elicitation methodology appropriate for corpus collection • Proposals for standards for linguistic annotation or for metadata descriptions • Experiences from linguistic research using corpora • Use of (parallel) corpora and lexicons in translation studies and machine translation • Avatar technology as a tool in sign language corpora and corpus data feeding into advances in avatar technology • Language documentation and long-term accessibility for sign language data • Annotation and visualization tools • Linking corpora and lexicons and integrated presentation of corpus and dictionary contents • “Internet as a corpus” for sign languages • Sign language corpus mining • Crowd and community sourcing for corpus work • Multi-lingual sign language resources and connecting sign language resources to language resources for spoken languages • Language change and how it relates to resource creation, corpus-driven linguistic research, and language technologies We are pleased to confirm that the workshop will be a hybrid event. Similar to the 2022 and 2024 workshops, all participants will be given access to an online text chat before and during the event to allow remote participants to present their work as well as for discussion of all workshop contributions. On-stage presentations will be live streamed (including International Sign/English interpretation) with opportunity for questions from remote and on-site participants. The live poster sessions will be held on-site only, but posters will be made available online for discussion via text chat. In the tradition of LREC, oral/signed presentations, poster presentations (with or without demonstrations) and remote presentations have equal status, and authors are encouraged to suggest the presentation format best suited to communicate their ideas. Papers (4–8 pages) of all accepted submissions to this workshop will be published as workshop proceedings published on the conference website – independent of whether you have a poster, remote or oral/signed presentation. The workshop does not differentiate between long, short, or position papers. Please submit your paper through the LREC START system (https://softconf.com/lrec2026/signlang2026/) not later than 14 February 2026 (any time zone), indicating whether you prefer an oral/signed presentation, a poster presentation, a poster presentation with demo, or a remote poster. Unlike the main conference, the workshop will be reviewed single-blind, so submissions SHOULD NOT BE ANONYMOUS. In all other respects, submissions should follow the LREC 2026 style guide (https://lrec2026.info/authors-kit/). ATTENTION Please note that you are expected to submit the full paper, not an extended abstract as in previous years! IMPORTANT DATES • Deadline for submissions: 14 February 2026 (11:59PM UTC-12:00 “anywhere on Earth”) • Notification of acceptance: 16 March, 2026 • Early bird registration ends: tbd • Camera ready version of the paper (for both oral/signed presentations and posters): 27 March 2026 • Submission of slides for interpreters' preparation (oral/signed presentations only): 6 May 2026 • Submission of all slides/posters for the conference platform: 6 May 2026 • Submission of additional material, including demo videos, to be made available alongside with the posters/slides on the conference platform: 6 May 2026 • This workshop: 16 May 2026 • LREC main conference: 13–15 May 2026 • LREC workshops 11, 12 & 16 May 2026

1 0

[CFP] Sci-ImageMiner Competition 2026: Scientific Figure Understanding -- 3rd call
by D'Souza, Jennifer 03 Feb '26

03 Feb '26

The 1st Sci-ImageMiner Competition: Information Extraction from Scientific Figures in Materials Science Focus: Quantitative plots from Atomic Layer Deposition and Etching (ALD/E) research Organized as part of the ICDAR 2026 Competition track <https://icdar2026.org/index.php/call-for-competitions/> <https://icdar2026.org/index.php/competitions/> https://icdar2026.org/index.php/competitions/ <https://icdar2026.org/index.php/call-for-competitions/> ICDAR 2026 - The 20th International Conference on Document Analysis and Recognition 30 Aug - 04 Sep 2026 | Vienna, Austria Sci-ImageMiner 2026 Competition Website: <https://sites.google.com/view/sci-imageminer/> https://sites.google.com/view/sci-imageminer/ Overview Scientific figures often contain critical results that never appear explicitly in the text. Despite recent advances in multimodal large language models, most existing benchmarks rely on generic or synthetic visuals. Sci-ImageMiner addresses this gap by introducing a curated benchmark grounded in authentic scientific figures from a specialized scientific domain. Tasks The competition hosts four tasks: 1. Figure Classification - identify the chart or figure type 2. Data Table Extraction - reconstruct the underlying tabular data from quantitative plots 3. Figure Summarization - generate concise, factual summaries of key trends 4. Visual Question Answering (VQA) - answer scientific questions requiring reasoning over figure content Teams may participate in any subset of tasks (including all four). Data & Evaluation * A trial dataset is available now to familiarize participants with the data and annotations. * The full dataset will be released in stages (training, development, blind test). * All evaluations will be conducted on Codabench, with per-task leaderboards. Important Dates (selected) * Trial data release: 8 December 2025 * Evaluation start: 3 March 2026 * Evaluation end: 3 April 2026 * Paper submission deadline: 17 April 2026 * Camera-ready deadline: 4 May 2026

1 0

Call for Papers CARI'2026 - Benin
by Mathieu ROCHE 03 Feb '26

03 Feb '26

=========================================== CARI'2026 - Call for Papers The 18th African Conference on Research in Computer Science and Applied Mathematics (CARI'2026) October 21-24, 2026 University of Abomey-Calavi, Cotonou – Benin ============================================ OVERVIEW ============================================ CARI, the African Conference on Research in Computer Science and Applied Mathematics, is the flagship event of ASDS - African Society in Digital Science (https://asds.africa/). It brings together researchers and practitioners from Africa and beyond to present and discuss advances in computer science and applied mathematics, aiming to strengthen collaboration, international cooperation, and the visibility of African research while fostering innovation to address the continent's challenges. CARI'2026 will be held on October 21-24, 2026. The program will feature keynote talks, technical sessions, poster presentations, and panel discussions, preceded by workshops and tutorials on October 22, 2026. ============================================ SCOPE AND TOPICS OF INTEREST ============================================ CARI 2026 invites submissions of full papers presenting original research results and short papers reporting work in progress or position papers. The conference is structured around two main tracks: Computer Science and Applied Mathematics. Topics of interest include, but are not limited to: Track: Computer Science - Algorithms and optimisation - Artificial intelligence, machine learning, and data science - Distributed systems and cloud computing - Networking and the Internet of Things - Security, privacy, and dependable systems - Digital sovereignty and computing for Africa Track: Applied Mathematics - Analysis of dynamical Systems - Partial differential equations and their applications - High-performance scientific computing - Mathematical foundations of artificial intelligence - Mathematical Modelling - Stochastic Systems CARI'2026 especially welcomes applied research addressing African contexts and challenges, with application domains including agriculture, healthcare, education, environmental systems, transportation, and logistics. ============================================ IMPORTANT DATES (All deadlines are at 23:59 GMT) ============================================ - Abstract submission: 23 March, 2026 - Paper submission: 30 March, 2026 - Notification to authors: 22 June, 2026 - Camera-ready deadline: 6 July, 2026 ============================================ PAPER SUBMISSION AND PUBLICATION ============================================ CARI'2026 accepts submissions in three categories: - Full papers describing original research (up to 14 pages excluding references). - Work-in-progress papers on early results (up to 7 pages in length excluding references). - Position papers proposing novel or unconventional ideas - preferably supported by empirical data and measurements - that differ from prior published work (up to 7 pages excluding references). All submissions must be original, unpublished, and not under consideration elsewhere. All submissions will be reviewed based on relevance, originality, significance, and clarity. Papers should follow the Lecture Notes in Computer Science (LNCS) format (Springer) and be submitted via EasyChair (https://easychair.org/conferences/?conf=cari2026) CARI 2026 employs a single-blind review process, with authors' names included in submissions. As CARI'2024, all accepted papers should be published in Springer's book series Communications in Computer and Information Science (CCIS) or Trends in Mathematics and made available through the SpringerLink Digital Library (indexed in Scopus, ACM Digital Library, DBLP, and Google Scholar). Selected papers from CARI'2026 will be invited to submit extended versions for possible publication in ARIMA. ============================================ FOR MORE INFORMATION ============================================ Web: https://asds.africa/cari2026/ [under construction] E-mail: Cari2026(a)gmail.com ============================================

1 0

3rd Call for Papers: RaPID-6@MENTAL.ai@LREC 2026: Palma de Mallorca, Spain
by Dimitrios Kokkinakis 03 Feb '26

03 Feb '26

**************************************** Third 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 ****************************************

1 0

Postdoc position on LLM post-training at the University of Oslo
by Erik Velldal 03 Feb '26

03 Feb '26

[Apologies for cross-posting] A 3-year postdoctoral fellowship in Natural Language Processing (NLP) is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The position is also affiliated with the Integreat Centre of Excellence and will primarily focus on preference learning for Large Language Models (LLMs), particularly in data-constrained settings. For more information about the position and the research environment, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/294378/postdoctoral-fellow-i… Closing date: 4th March 2026 Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

1 0

CMC-Corpora 2026 submissions now open
by Steven Coats 02 Feb '26

02 Feb '26

Dear colleagues, (Apologies for cross-posting) Submissions are now open for the 13th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2026), to be held 27–28 August 2026 at the University of Oulu, Finland. We invite submissions on computer-mediated communication and social media corpora, including both short papers (oral presentations) and poster/demo abstracts. Topics include corpus creation and annotation, analysis of CMC and social media communication, and computational/NLP approaches to digital discourse, including multimodal and AI-based methods. Submission deadline: 15 April 2026, 23:59 EEST Submission system: https://conftool.net/cmc2026 Conference website & templates: https://cmc2026.org<https://cmc2026.org/> All submissions will undergo double-blind peer review. Accepted short papers will be published in the conference proceedings, and selected papers may be invited for an extended publication after the conference. We would be grateful if you could circulate this announcement to interested colleagues and mailing lists. Best regards, Steven Coats (on behalf of the CMC-Corpora 2026 Organizing Committee) cmc2026(a)oulu.fi<mailto:cmc2026@oulu.fi> University Lecturer, Docent English, Faculty of Humanities University of Oulu P.O. Box 8000, FI-90014 University of Oulu Finland https://cc.oulu.fi/~scoats

1 0

Special Thematic Session "𝗚𝗲𝗻𝗔𝗜 𝗳𝗼𝗿 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: 𝗣𝗹𝗮𝗶𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗮𝗻𝗱 𝗜𝗻𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻" at ICCHP 2026
by PALOMA MARTINEZ FERNANDEZ 02 Feb '26

02 Feb '26

📢 Call for Papers – Special Thematic Session (STS) at ICCHP 2026 International Conference on Computers Helping People with Special Needs 2026 July 13 - 17, 2026 Masaryk University Brno, Czech Republic We are pleased to announce our Special Thematic Session "𝗚𝗲𝗻𝗔𝗜 𝗳𝗼𝗿 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: 𝗣𝗹𝗮𝗶𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗮𝗻𝗱 𝗜𝗻𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗨𝘀𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻" <https://icchp.org/session/1080/> at ICCHP 2026 <https://icchp.org/>. Generative AI (GenAI) is rapidly reshaping how people interact with technology. While its inclusive potential is often highlighted, cognitive accessibility remains largely underexplored. This STS aims to bring together researchers and practitioners working at the intersection of Generative AI, Human–Computer Interaction, and cognitive accessibility. 🔎 Topics of interest include (but are not limited to): - Accessible, usable, and understandable Generative AI interaction for people with cognitive impairments - Plain Language and Easy-to-Read content generation, adaptation, and evaluation using Large Language Models (LLMs) - Human-in-the-loop approaches, participatory design, and co-creation methods for GenAI accessibility - Intelligent User Interfaces (IUI) for cognitive accessibility, including adaptive interfaces, personalization, and assistive interaction - Multimodal GenAI for cognitive accessibility: text–image–audio interaction, pictograms, visual supports, and alternative representations - Cognitive load reduction in GenAI systems: UX patterns, explainability, transparency, trust, and user control - Accessible and inclusive communication, including user-oriented language and caregiver support - Evaluation protocols, datasets, and methodologies with target users, including qualitative, quantitative, and mixed-methods approaches - Ethics, risk assessment, bias, and safeguards in GenAI systems for cognitive accessibility and vulnerable populations - Datasets, benchmarks, and metrics for evaluating readability, fluency, user preferences, and multilingual considerations 🗓️ Important dates (https://icchp.org/submission-26/ <https://lnkd.in/eiGPJg6e>): • Extended Abstract (3–5 pages): February 9, 2026 • Notification of Acceptance: March 23, 2026 • Final Camera-Ready Paper (6–8 pages, LNCS format): April 16, 2026 We warmly invite research papers, case studies, design proposals, and empirical work. + info: https://icchp.org/session/1080/ Paloma Martínez Full professor Human Language and Accessibility Technologies Group (hulat.inf.uc3m.es <http://labda.inf.uc3m.es>) Computer Science Department Universidad Carlos III de Madrid @Grupo_HULAT

1 0

3rd CFP: Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
by Paul Thompson 02 Feb '26

02 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; IMPORTANT DATES February 18, 2026 -Workshop Paper Due Date️ March 13, 2026 - Notification of acceptance March 20, 2026 - Camera-ready papers due April 10, 2026 - Pre-recorded video due (hard deadline) May 12, 2026 - Workshop 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/

1 0

Multimodal sexism identification with sensor data: CFP EXIST 2026
by JORGE AMANDO CARRILLO DE ALBORNOZ CUADRADO 02 Feb '26

02 Feb '26

Please consider contributing and/or forwarding to appropriate colleagues and groups. ****We apologize for the multiple copies of this e-mail**** ---------------------------------------------------------------------------------------------------- Call for Participation ---------------------------------------------------------------------------------------------------- First Call for Participation: EXIST 2026: Multimodal sexism identification with sensor data Website: http://nlp.uned.es/exist2026/ EXIST is a series of scientific events and shared tasks on sexism identification in social networks. EXIST aims to foster the automatic detection of sexism in a broad sense, from explicit misogyny to other subtle expressions that involve implicit sexist behaviours (EXIST 2021, EXIST 2022, EXIST 2023, EXIST 2024, EXIST 2025). The sixth edition of the EXIST shared task will be held as a Lab in CLEF 2026, on September 21-24, 2026, at Friedrich-Schiller-Universität Jena, Germany . In EXIST 2026, we take a significant step forward by integrating the principles of Human-Centered AI (HCAI) into the development of automatic tools for detecting sexism online. Recognizing that no single interpretation can fully capture the diversity of human perception, we go beyond traditional annotation paradigms by combining Learning With Disagreement (LeWiDi) with sensor-based data (EEG, heart rate, and eye-tracking signals) collected from subjects exposed to potentially sexist content, with the aim of capturing unconscious responses to sexism. This dual approach represents a breakthrough in dataset creation for sensitive and value-laden tasks: for the first time, datasets will include not only divergent judgments from annotators, but also the embodied traces of how this content affect. This richer, multidimensional annotation process will enable the development of more inclusive, equitable, and socially aware AI systems for detecting sexism in complex multimedia formats like memes and short videos, where ambiguity and affect play a critical role. Similar to the approaches in the 2023, 2024 and 2025 edition, this edition will also embrace the Learning With Disagreement (LeWiDi) paradigm for both the development of the dataset and the evaluation of the systems. The LeWiDi paradigm doesn’t rely on a single “correct” label for each example. Instead, the model is trained to handle and learn from conflicting or diverse annotations. This enables the system to consider various annotators’ perspectives, biases, or interpretations, resulting in a fairer learning process. Building upon the EXIST 2025 dataset, this edition focuses exclusively on multimedia formats, comprising six experimental subtasks applied to images (memes) and videos (TikToks). Participants are challenged to address three main objectives: sexism identification (x.1), source intention detection (x.2), and sexism categorization (x.3) (numbering of subtask is consistent with EXIST 2025). Participants will be asked to classify memes and videos (in English and Spanish) according to the following tasks: TASK 2: Sexism detection in Memes: TASK 2.1 - Sexism Identification in Memes: this is a binary classification subtask consisting on determining wheter a meme describes a sexist situation or criticizes a sexist behaviour, and classifying it into two categories: YES and NO. Task 2.2: Source Intention in Memes: this subtask aims to categorize the meme according to the intention of the author. Due to the characteristics of the memes systems should only classify memes into the DIRECT or JUDGEMENTAL categories. Task 2.3: Sexism Categorization in Memes: once a message has been classified as sexist, the third subtask aims to categorize the message in different types of sexism (according to a categorization proposed by experts and that takes into account the different facets of women that are undermined). In particular, each sexist tweet must be categorized in one or more of the following categories: (i) IDEOLOGICAL AND INEQUALITY, (ii) STEREOTYPING AND DOMINANCE, (iii) OBJECTIFICATION, (iv) SEXUAL VIOLENCE and (v) MISOGYNY AND NON-SEXUAL VIOLENCE. TASK 3: Sexism detection in Videos: SUBTASK 3.1 - Sexism Identification in Videos: this is a binary classification task as in Subtasks 2.1. SUBTASK 3.2: Source Intention in Videos: this subtask replicates subtask 2.2 for memes, but it takes as source videos. SUBTASK 3.3: This subtask aims to classify sexist videos according to the categorization provided for Subtask 2.3: (i) IDEOLOGICAL AND INEQUALITY, (ii) STEREOTYPING AND DOMINANCE, (iii) OBJECTIFICATION, (iv) SEXUAL VIOLENCE and (v) MISOGYNY AND NON-SEXUAL VIOLENCE. Although we recommend to participate in all subtasks and in both languages, participants are allowed to participate just in one of them (e.g. subtask 2.1) and in one language (e.g. English). During the training phase, the task organizers will provide the participants with the manually-annotated EXIST 2026 dataset. For the evaluation of the systems, the unlabeled test data will be released. We encourage participation from both academic institutions and industrial organizations. We invite participants to register for the lab at CLEF 2026 Labs Registration site (https://clef-labs-registration.dipintra.it/). You will receive information about how to join the Discord Group for the EXIST 2026 shared task. Important Dates: * 17 November 2025: Registration opens. * 26 February 2026: Training set available. * 9 April 2026: Test set available. * 23 April 2026: Registration closes. * 7 May 2026: Runs submission due to organizers. * 28 May 2026: Results notification to participants. * 4 June 2026: Submission of Working Notes by participants. * 30 June 2026: Notification of acceptance (peer reviews). * 6 July 2026: Camera-ready participant papers due to organizers. * 21-24 September 2026: EXIST 2026 at CLEF Conference. ** Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth") ** Organizers: Laura Plaza, Universidad Nacional de Educación a Distancia (UNED) Jorge Carrillo-de-Albornoz, Universidad Nacional de Educación a Distancia (UNED) Iván Arcos, Universitat Politècnica de València (UPV) Maria Aloy Mayo, Universitat Politècnica de València (UPV) Paolo Rosso, Universitat Politècnica de València (UPV) Damiano Spina, Royal Melbourne Institute of Technology (RMIT) Contact: Contact the organizers by writing to: jcalbornoz(a)lsi.uned.es Website: http://nlp.uned.es/exist2026/ AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Oficina de Protección de datos<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://uned.sede.gob.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

1 0