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Call for Papers: The 1st Workshop on Computational Affective Science
by Roman Klinger 08 Jan '26

08 Jan '26

Call for Papers: The 1st Workshop on Computational Affective Science First Call for Papers: The 1st Workshop on Computational Affective Science (CAS 2026), co-located with the Language Resources and Evaluation Conference (LREC) 2026 in Palma de Mallorca, Spain, May 16. Website: https://casworkshop.github.io/ <https://casworkshop.github.io/> Contact: cas-workshop(a)googlegroups.com We invite submissions to the first Workshop on Computational Affective Science (CAS 2026), co-located with LREC 2026, on research related to the understanding of affect and emotions through language and computation. CAS will accept archival long and short paper submissions, featuring substantial, original, and unpublished research. We also encourage submissions of extended abstracts from researchers in the broader Affective Science community, with up to two pages of content featuring the research background/hypotheses and a description of methods/results. Extended abstracts are non-archival, offering the option for publication and presentation at other conference venues. Motivation Affect refers to the fundamental neural processes that generate and regulate emotions, moods, and feeling states. Affect and emotions are central to how we organize meaning, to our behavior, to our health and well-being, and to our very survival. Despite this, and even though most of us are intimately familiar with emotions in everyday life, there is much we do not know about how emotions work and how they impact our lives. Affective Science is a broad interdisciplinary field that explores these and related questions about affect and emotions. Since language is a powerful mechanism of emotion expression, there is a growing use of language data and advanced natural language processing (NLP) algorithms to shed light on fundamental questions about emotions. The Workshop on Computational Affective Science (CAS) aims to be a dedicated venue for work focused specifically on the link between NLP and affective science. Interdisciplinary Scope The workshop takes an interdisciplinary approach to affective science and aims at bringing together NLP researchers, scientists, and theorists from many research areas, including psychology, sociology,, neuroscience, and philosophy. Although work in sentiment analysis is decades old, this work often proceeds separately and in different fields from research and theory in affective science. Meanwhile, affective scientists in psychology, sociology, neuroscience and philosophy increasingly seek to use linguistic tools to shed light on the nature of emotions, moods, and feeling states. CAS is therefore co-organized by an interdisciplinary group of researchers (spanning NLP and Affective Science) to foment collaboration at this exciting frontier of research. Submissions We invite long and short archival paper submissions, as well as non-archival extended abstracts on a broad range of topics at the intersection of affective science and natural language processing, including but not limited to: 1. The Nature of Affect and Computational Modeling of Emotions Computational experiments that add to our understanding of affect and emotions, including findings relevant to: * theories and nature of emotion * the biology or neuroscience of emotions * appraisal models * dimensional models (valence / arousal / dominance) * models of constructed emotion * cognitive-affective architectures * emotion dynamics (emergence, intensification, decay, transitions) * emotion granularity * emotion regulation * affective embodiment * evolutionary and developmental affect * emotion–cognition interactions These areas are relevant not just to human affect, but may also apply to data animals and artificial agents. 2. Affective Data and Resources Work on compiling and annotating affect-related information in text, speech, facial and bodily expression, and physiological signals (ECG, EEG, GSR, multimodal biosensing), with a focus on text data (monolingual or multilingual) and multimodal data suitable for an NLP venue. Data from underserved languages is especially encouraged. 3. Emotion Recognition, Prediction, and Inference At the instance level: * emotion classification (discrete emotions, dimensional ratings) * emotion intensity estimation * emotion cause detection * context-aware affect inference (culture, situation, social setting) * structured emotion analysis At the aggregate level: * creating emotion arcs * determining broad trends in emotions over time or across locations * tracking emotional responses toward entities of interest (e.g., climate change) * document-level and cross-document emotion analysis * labeling social networks 4. Applications Including but not limited to: * Affect and health, psychopathology, and mental disorders * Affect and behavior/social science (e.g., interpersonal affect, empathy, group-level affect, affect contagion, computational emotion regulation) * Affect and education * Affect and literature/narratives/digital humanities * Affect and commerce 5. Explainability and Interpretability in Computational Affective Models Work aimed at improving the transparency and interpretability of affective systems. This includes understanding how models represent and infer emotions and identifying key cues driving predictions. 6. Ethics, Fairness, Theory Integration, Philosophical Implications * Bias and generalizability of affective systems across demographics * Privacy and ethics in affective data collection * Examining whether automatic NLP systems rely on current and valid theories of affect and emotion * The implications of machines modeling or simulating affect * Societal considerations surrounding affective artificial agents ------------------------------------------------------------------------ Important Dates (tentative): ·Submission deadline:16 Feb 2026 ·Notification of acceptance: 16 March 2026 ·Camera Ready Paper due: 23 March 2026 ·Workshop date: 16 May 2026 Submission Details: We invite submissions for archival long and short papers, as well as non-archival extended abstracts. Archival long and short papers should feature novel and unpublished work relating to the topics detailed above. We also invite submissions of extended abstractsfrom researchers in the broader Affective Science community, with up to two pages of content featuring the research background/hypotheses and a description of methods/results. Extended abstracts are non-archival, offering the option for publication and presentation at other conference venues. Archival Track: ·Long Paper: Consists of up to 8 pages of content, with additional pages for references, limitations, ethical considerations, and appendices. ·Short Paper: Consists of up to 4 pages of content, with additional pages for references, limitations, ethical considerations, and appendices. (When preparing camera ready papers, you will be allowed one extra page to address comments by the reviewers.) Non-Archival Track: ·Extended Abstract: Up to 2 pages. Submission Format: All submissions must use the LREC 2026 template and follow the guidelines found at:https://lrec2026.info/authors-kit/ <https://lrec2026.info/authors-kit/>(Note: extended abstracts can be limited to being 1-2 pages in length). Mandatory Ethics Section:We ask all authors to include a section on Ethical Considerations in their submission, touching on the ethical concerns and broader societal impacts of the work. This discussion section will not count towards the page limit. Submission Site: All submissions must be made through the SoftConf portal. The link to the system will be shared shortly. Additional Details: Website: https://casworkshop.github.io/ <https://casworkshop.github.io/> Attendance: The workshop will follow the attendance policy of the main conference (https://lrec2026.info/registration-policy/ ). Organizers: * Christopher Bagdon, University of Bamberg, Germany * Krishnapriya Vishnubhotla, National Research Council Canada * Kristen A. Lindquist, The Ohio State University, USA * Lyle Ungar, University of Pennsylvania, USA * Roman Klinger, University of Bamberg, Germany * Saif M. Mohammad, National Research Council Canada Contact us at cas-workshop(a)googlegroups.com with any questions.

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Pre-reviewed (ARR) DEADLINE EXTENSION: HEALING Workshop on Health-Related Discourse and Language (EACL 2026)
by murathan.kurfali＠ri.se 08 Jan '26

08 Jan '26

The First International Workshop on Linguistic Analysis for Health (HeaLing’26) We are excited to announce the First Workshop on Linguistic Analysis for Health (HeaLing), co-located with EACL 2026, to be held in Rabat, Morocco, on March 24–29, 2026. 📌 Important Links Workshop Website: https://healing-workshop.github.io Contact: healing-workshop(a)googlegroups.com CFP & Submissions (OpenReview): https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/HeaLing 🗓️ Key Dates (AoE) Tentative Timeline Event Date Direct submission deadline December 19, 2025 (**passed**) Pre-reviewed (ARR) submission deadline January **10**, 2026 Notification of acceptance January 23, 2026 Camera-ready paper due February 3, 2026 Workshop date March 28 (afternoon session) 🧠 Workshop Scope Language-oriented approaches—such as discourse and conversation analysis, narrative medicine, and linguistic ethnography—have long been central to qualitative investigations of how medical knowledge is produced, communicated, and experienced. Today, advances in natural language processing (NLP) and artificial intelligence (AI) offer new possibilities for extending and scaling linguistic approaches across large health-related datasets. The HeaLing workshop invites contributions that integrate qualitative and computational methods to examine how language informs and transforms medicine as a social and scientific practice. A central focus of the workshop is the practical value of interpretive insights derived from language analysis. We welcome researchers from medical humanities, social and historical studies of medicine, and computational language sciences. The workshop will be held as a half-day event at EACL 2026. 🧩 Topics of Interest (include but are not limited to) - Computational + qualitative discourse analysis of clinical, scientific, policy, and other health-related texts (media, guidelines, patient narratives, clinical notes). - Metaphor and framing in illness narratives, public health messaging, and clinical communication. - Narrative medicine, story-centered clinical interventions, and evaluation of their effects. - Historical and contemporary discourse studies of medical epistemologies (how concepts, categories, and expertise are constructed). - Language, power, and inequality: how linguistic framing shapes access, stigma, and policy for marginalized populations. - Methods for responsible use of NLP/LLMs in medical language research (bias, explainability, mixed-methods validation). - Digital humanities approaches: building and interrogating historical corpora, archives, and born-digital records. - Translational impact: case studies showing how interpretive linguistic insights led to concrete changes in practice, education, or policy. 📝 Submission Format and Reviewing Procedure We accept original and unpublished research contributions (including surveys, position, and theory papers) following the ACL format. The ACL Paper Styles are available here: https://github.com/acl-org/acl-style-files (both LaTeX and Word). Long papers: up to 8 pages (+ references) Short papers: up to 4 pages (+ references) Camera-ready versions will be given one additional page to address reviewers’ comments. Papers must be submitted anonymously. We accept submissions either through our own submission page or via the ACL Rolling Review (ARR). All submissions will undergo double-blind peer review by at least three reviewers, with final acceptance decisions made by the workshop organizers. Accepted papers will be published in the workshop proceedings and presented orally or as posters. 👥 Organizing Committee Ylva Söderfeldt, Uppsala University, Sweden Vera Danilova, Uppsala University, Sweden Julia Reed, University of Vienna, Austria Murathan Kurfalı, RISE Research Institutes of Sweden, Sweden Gavin Farrell, University of Padua, Italy

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Second Call for Nominations – The Keith van Rijsbergen (KvR) Award 2026
by Yifei Yuan 08 Jan '26

08 Jan '26

The KvR Award honours outstanding researchers who have advanced the theoretical foundations of Information Retrieval — those whose work has shaped new models, paradigms, or metrics that deepen our understanding of IR. The award was first presented at ECIR 2024 to Prof. Maarten de Rijke (University of Amsterdam). The second KvR Award will be awarded at ECIR 2026 in Delft! 🔹 Eligibility: active IR researchers with ≥10 years since PhD 🔹 Deadline for nominations: 15 January 2026 🔹 Submit nominations via the form provided below Read more about the award, nomination process, and find the form to submit your nominations here: https://lnkd.in/emecdsXm, https://ecir2026.eu/calls/keith-van-rijsbergen-award

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2nd CFP: Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
by Paul Thompson 08 Jan '26

08 Jan '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 (Tentative) 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/

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DEADLINE EXTENSION: Learner Corpus Research Conference 2026 (LCR 2026, Prague) – 3rd CfP
by tomas.graf＠ff.cuni.cz 08 Jan '26

08 Jan '26

Learner Corpus Research Conference 2026 – LCR 2026 The 8th Learner Corpus Research Conference to be held in Prague 16–19 September, 2026 First Call for Papers opens on 16 November 2025 Organizers: Tomáš Gráf, Barbora Bulantová, Kryštof Buchal, Alexandr Rosen, Radek Skarnitzl, Lanfen Huang, Kristián Centek, Daniela Marková Conference site: https://lcr2026.ff.cuni.cz Key dates: Submission deadline (extended): 31 January 2026 Notification of acceptance: 8–10 April 2026 Conference dates: 17–19 September 2026 Pre-conference workshops and PhD programme: 16 September 2026 The Learner Corpus Research Conference 2026 (LCR 2026) will be held in the beautiful and historically rich city of Prague on 16–19 September 2026. Organized biennially under the auspices of the Learner Corpus Association, the upcoming conference is hosted by the Department of Linguistics at the Faculty of Arts, Charles University. The event is co-organized by two of its constituent units: the Department of English Language and ELT Methodology and the Czech National Corpus. The conference, titled Forging the Future of Learner Corpus Research, reflects a dual awareness: of the field’s substantial legacy and of the pressing need to embrace emerging technological and methodological innovations. It also highlights the importance of identifying new directions and developing fresh perspectives in learner corpus studies. The conference theme resonates with the extensive experience and pioneering contributions of the Czech National Corpus, which has been shaping standards in corpus linguistics for over three decades. Moreover, the Faculty of Arts and its linguistics departments are deeply rooted in the tradition of the Prague Linguistic Circle, and they previously hosted the 38th ICAME conference in 2017. We warmly encourage all participants to contribute actively to discussions and to share their insights. We aim to foster a collegial and collaborative environment conducive to the advancement of learner corpus research. We look forward to welcoming you to Prague for a stimulating and inspiring gathering of researchers in the field. Call description We welcome all contributions related to learner corpus research and strongly encourage authors to explore new directions, challenge existing paradigms, or apply innovative approaches to learner corpus data. Areas of interest include, but are not limited to: Language for Academic and Specific Purposes Language Teaching, Assessment, and Testing Learner Corpus-Based SLA Studies Corpora as Pedagogical Resources Multimodal Learner Corpora Software Tools for Learner Corpus Analysis Corpus-Based Translation Studies English as a Medium of Instruction (EMI) English as a Lingua Franca (ELF) Data Mining and Exploratory Methods Statistical and Quantitative Approaches Discourse Analysis and Pragmatics NLP Applications in Learner Corpus Research Complexity, Accuracy, and Fluency (CAF) Measures Presentation formats We invite submissions for the following formats: Full paper (20 minutes + 10 minutes discussion) Work in progress (WIP) report (10 minutes + 5 minutes discussion) Corpus/Software demonstration Poster presentation Insight session (Insight sessions are intended primarily for PhD students and/or early-career researchers. The format allows for a 10-minute presentation followed by a 10-minute expert feedback follow-up. ) The WIP reports and posters are intended to present research still at a preliminary stage and on which researchers would like to get feedback. The language of the conference is English. Abstract submission We invite submissions of abstracts in the range of 500 words (excluding references) for presentations in one of the categories listed above. Please indicate the category of your submission (Full paper / WiP Report / Corpus / software demonstration / Poster presentation) at the beginning of your abstract. Abstracts should include: A clearly articulated research question and an explanation of its relevance to learner corpus research A brief overview of the research approach, data, and methods used A summary of the main results and their interpretation. Please do not include author names or institutional affiliations in the submitted abstract. Submissions must be made via OpenReview (registration necessary). https://openreview.net/group?id=learnercorpusassociation.org/LCR/2026/Confer... The working language of the conference is English. For co-authored submissions, one author should register and upload the abstract, but each co-author must register individually for the conference.

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CFP for the DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content on Online Web and Countering Misinformation in the Age of LLMs and Agents
by Thomas Mandl 07 Jan '26

07 Jan '26

CFP for the DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content on Online Web and Countering Misinformation in the Age of LLMs and Agents Submission deadline: January 10, 2026 AOE Workshop website: https://dhow-workshop.github.io/2026/ <https://dhow-workshop.github.io/2026> Co-located with WWW 2026 <https://www2026.thewebconf.org/> Dubai, UAE, April 13-14, 2026 Workshop Description With the advancement of digital technologies and gadgets, online content is easily accessible. At the same time, harmful content also spreads. There are different harmful content available on different platforms in multiple languages. The topic of harmful content is broad and covers multiple research directions. But from the user’s perspective, they are affected by them all. Often, it is studied individually, like misinformation and hate speech. Research has been done on one platform, monolingual, on a particular issue. It leads to harmful content spreaders switching platforms and languages to reach the user base. Harmful is not limited to social media but also news media. Spreader shares harmful content in posts, news articles, comments, and hyperlinks. So, there is a need to study harmful content by combining cross-platform, language, multimodal data and topics. We will bring the research on harmful content under one umbrella so that research on different topics (hate speech, misinformation, disinformation, self-harm, offensive content, etc.) can bring some novel methods and recommendations for users, leveraging text analysis with image, audio, and video recognition to detect harmful content in diverse formats. The workshop will cover the ongoing issue of war or elections in 2025. We believe this workshop will provide a unique opportunity for researchers and practitioners to exchange ideas, share the latest developments, and collaborate on addressing the challenges associated with harmful content spread across the Web. We expect that the workshop will generate insights and discussions that will help advance the field of societal artificial intelligence (AI) for the development of a safer internet. In addition to attracting high-quality research contributions to the workshop, one of the aims of the workshop is to mobilise the researchers working on the related areas to form a community. Submissions Topics * Studying different types of harmful content * Improving Factual Reliability in LLMs * Computational fact-checking & Misinformation * Detection Role of Generative AI in Mitigating Harmful Content Harassment, Bullying, and Hate Speech Detection Explainable AI for Harmful Content Analysis * Agentic AI Systems and Misinformation * Detection methods for LLM/VLM-generated text, audio, and imagery * Deepfake and Synthetic Media * Ethical & Societal Implications of AI in Content Moderation * Both Qualitative and Quantitative studies on harmful content * Psychological effects of harmful content like mental health * Approaches for data collection or data annotation using multimodal large models on harmful content * User study on the effects of harmful content on human beings * Human-AI Collaboration and Defenses Submissions - Submission Instructions: https://dhow-workshop.github.io/2026/#call <https://dhow-workshop.github.io/2026/#call> - Submission Link: https://openreview.net/group?id=ACM.org/TheWebConf/2026/Workshop/DHOW-MiLLA <https://openreview.net/group?id=ACM.org/TheWebConf/2026/Workshop/DHOW-MiLLA> Important Dates Submission deadline: extended to January 7, 2026 Notification of acceptance: January 26, 2026 Camera-ready papers due: February 2, 2026 Workshop date: April 13-14, 2026 Workshop organizers * Thomas Mandl, University of Hildesheim, Germany * Haiming Liu, University of Southampton, UK * Gautam Kishore Shahi, University of Duisburg-Essen, Germany * Amit Kumar Jaiswal, Indian Institute of Technology (BHU) Varanasi, India * Durgesh Nandini, University of Bayreuth, Germany * Luis-Daniel Ibáñez, University of Southampton, UK * Junichi Suga, Fujitsu Research, Japan * Dai Yamamoto, Fujitsu Research, Japan * Rahul Mishra, Fujitsu Research, India * Rajakrishnan P Rajkumar, IIIT Hyderabad, India * Sagar Uprety, University College London, UK * Bornali Phukon, University of Illinois Urbana Champaign, USA * Sujit Kumar, Nanyang Technological University, Singapore

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2nd CFP: Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication
by Constantin Orasan 07 Jan '26

07 Jan '26

Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication Guildford, UK, 17 - 19 June 2026 Second call for papers https://www.surrey.ac.uk/centre-translation-studies/convergence-2026 The conference Building on the success of the first Convergence conference<https://www.surrey.ac.uk/centre-translation-studies/convergence-2023> in 2023, which explored the responsible and intelligent integration of human and machine capabilities in translation and interpreting, the Centre for Translation Studies at University of Surrey, UK, is proud to announce Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication. The second edition of the Convergence conference will create an opportunity to bring together innovative research on the evolving landscape of AI in the context of multilingual and accessible communication, reflecting on the complexity and effects of using AI-driven technologies in these fields. The conference will foster a multidisciplinary dialogue that will generate new theoretical perspectives and practical research, focusing on themes such as the ethical aspects of AI in translation and interpreting, AI-enabled digital accessibility and societal inclusion, and the impact of Generative AI on language mediation. We will also examine the evolving role of language professionals, the power of Large Language Models (LLMs) in supporting multilingual communication, and the crucial need for responsible use of language AI in the public sector. The conference will publish full papers in open access proceedings with assigned ISBN and DOI. The conference will be preceded by a Summer school on Artificial Intelligence for Accessible Communication between 15th and 17th June 2026. More details about the summer school will be added to the website soon. Conference themes Theme 1: Ethical aspects of AI in translation and interpreting Theme 2: AI-enabled digital accessibility and societal inclusion Theme 3: Which creative turn? Language mediation in the era of GenAI Theme 4: The evolving role of language professionals in the era of AI Theme 5: LLMs supporting multilingual communication Theme 6: Responsible use of language AI in the public sector Full description of the themes is available on the conference website: https://www.surrey.ac.uk/centre-translation-studies/convergence-2026#themes Submissions and publications Convergence 2026 invites the following types of submissions on one of the conference themes: * Long papers - describing original completed research. Allowed paper length: maximum 8 pages + unlimited number of pages for references and appendices * Short papers - describing work in progress. Allowed paper length: maximum 4 pages + unlimited number of pages for references and appendices The conference aims to be a platform for in-depth discussion of prevalent themes while also offering contributors the opportunity for swift publication of their work. The event will provide the wide community of Translation and Interpreting Studies and the disciplines it intersects with, a space for networking, collective brainstorming and looking into the future of communication, all sustained by a robust set of papers published in the conference proceedings. Both long and short papers can be associated with rigorous empirical work or conceptual approaches to the themes of the conference. PhD students are also invited to submit papers regardless of the stage of their PhD journey. If accepted, their papers may be selected to any of the sessions of the conference, including a dynamic poster session, in which students may receive feedback and consider new developments for their work. Each submission will be reviewed by three members of the Programme Committee. The conference will not consider and evaluate abstracts only. Full details about paper submission are available on the conference website at https://www.surrey.ac.uk/centre-translation-studies/convergence-2026#submis… Invited speakers * Horacio Saggion<https://www.upf.edu/web/horacio-saggion>, Chair in Computer Science and Artificial Intelligence and Head of the TALN Group and Large Scale Text Understanding Systems Lab at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. * John Anthony O'Shea<https://www.linkedin.com/in/johnanthonyoshea/>, LL.B, LL.M, Founder of Jurtrans, Chairperson of FIT-Europe, member of EU's Language Industry Expert Group Important dates * 23rd Feb 2026: Registration of intention to submit a paper (optional) * 2nd March 2026: Submissions of full papers * 6th April 2026: Notification of acceptance * 22nd May 2026: Camera ready papers for the draft proceedings * 15th - 17th June 2026: Summer school on Artificial Intelligence for Accessible Communication * 17th - 19th June 2026: The Convergence conference * 1st Sept 2026: Camera ready papers for final proceedings Venue The conference will take place in Guildford at University of Surrey. If you have any questions do not hesitate to contact us on cts_inquiries(a)surrey.ac.uk<mailto:cts_enquiries@surrey.ac.uk> Conference organisers Conference chair: Prof Sabine Braun<https://www.surrey.ac.uk/people/sabine-braun> Programme chairs: Prof Constantin Orasan<https://www.surrey.ac.uk/people/constantin-orasan> and Dr Diana Singureanu<https://www.surrey.ac.uk/people/diana-singureanu> Proceedings chairs: Dr Felix do Carmo<https://www.surrey.ac.uk/people/felix-do-carmo> and Prof Constantin Orasan<https://www.surrey.ac.uk/people/constantin-orasan> Summer school chairs: Dr Elena Davitti<https://www.surrey.ac.uk/people/elena-davitti> and Prof Sabine Braun<https://www.surrey.ac.uk/people/sabine-braun> Sponsorship chairs: Sara Palmer<https://www.surrey.ac.uk/people/sara-palmer> and Aimee Savage<https://www.surrey.ac.uk/people/aimee-savage> Local organisers: Aimee Savage<https://www.surrey.ac.uk/people/aimee-savage> and Dr Yuan Zou<https://www.surrey.ac.uk/people/yuan-zou> --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>, University of Surrey, UK Personal page: https://www.surrey.ac.uk/people/constantin-orasan

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LREC 2026 Workshops and Tutorials Schedule now available
by info＠elda.org 07 Jan '26

07 Jan '26

[Apologies for multiple postings] LREC 2026 will feature a series of *workshops and tutorials* covering a wide range of topics in Language Resources and Evaluation. Workshops and Tutorials will be held on the *pre- and post-conference days*: * *11–12 May 2026*(pre-conference) * *16 May 2026*(post-conference) Paper submission is *open* for authors who wish to contribute to workshops. Most workshops already issued a CfP and/or published their dedicated website. Check the full schedule: https://lrec2026.info/workshops-and-tutorials/schedule/ Contact: info(a)elda.org

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CfP LANLP: Bridging Ibero and Latin American NLP communities ; Co-located Networking Symposium @ LREC 2026
by GAMALLO OTERO PABLO 07 Jan '26

07 Jan '26

First Call for Papers LANLP: Bridging Ibero and Latin American NLP communities 16 May 2026, Palma de Mallorca, Spain http:<http://lanlp>https://sites.google.com/view/lanlp2026/home Co-located Networking Symposium @ LREC 2026 https://lrec2026.info/ Description and Goals We organise a Networking Symposium on Latin American NLP (LANLP), focusing on natural language processing for the diverse languages of the Iberian Peninsula and Latin America. This region includes major world languages (e.g. Spanish (~558M speakers), Portuguese (~267M) as well as regional and indigenous languages. For example, Latin America alone hosts tens of millions of speakers of Quechua (~10M), Guaraní (>6M), Nahuatl (~2M), Aymara (~2M), among many others. Such languages are highly under‐resourced: over 88% of the world’s languages remain largely unsupported by language technologies. This networking event addresses that gap by promoting collaboration on ethically and culturally sensitive resource creation, evaluation, and novel methods for low-resource multilingual NLP in Iberian and Latin American languages and varieties. Our goal is to bring together communities (SEPLN<http://www.sepln.org/>, CLARIAH-ES<https://www.clariah.es/>, PROPOR<https://propor2024.citius.gal/>, AmericasNLP<https://turing.iimas.unam.mx/americasnlp/index.html>, and SomosNLP<https://somosnlp.org/>) to share cutting-edge research, language resources, and best practices. LANLP focuses on community-driven resource development and evaluation for Iberian languages, and diverse Latin American languages (including indigenous and minority languages). We aim to bridge regional communities: for instance, past forums like OpenCor note that “Latin American and Iberian communities... did not have an established event” to share initiatives, corpora and tools. LANLP fills this gap, fostering new contacts between Iberian and Latin American NLP research groups. The goals are to (1) highlight challenges in processing these languages, (2) share novel datasets and models, and (3) catalyze future collaborations and shared tasks. We emphasize both academic rigor and community inclusivity, encouraging contributions from established researchers and grassroots language advocates alike. Topics of Interest We invite submissions on topics including (but not limited to): * Language resource creation: Corpora, lexicons, and annotations for Iberian and Latin American languages (text, speech, multimodal). * LLMs opportunities and challenges: Small Language Models, synthetic data, mitigating biases, linguistic inequalities, data scarcity, language domination. * Multilingual transfer & modeling: Cross-lingual and multilingual representations, transfer learning, and embedding methods that bridge Spanish, Portuguese, varieties and minority languages. * Machine translation & generation: MT, summarization, and language generation for Spanish, Portuguese, and low-resource languages (e.g., Quechua, Aymara, Nahuatl). * Speech and audio processing: ASR, TTS, and spoken language resources for under-resourced languages and regional dialects (e.g. indigenous languages, Brazilian Portuguese, Latin American Spanish). * Dialectal and code-switching NLP: Identification and handling of dialectal variation and code-switching (e.g. Spanish–Portuguese code-mixing, Spanish–indigenous language contact). * Morphology and syntax: Analysis and tagging for morphologically rich or under-documented languages (e.g. Basque, Mapudungun, Bribri) using universal dependencies or other frameworks. * Domain-specific NLP: Social media, sentiment, hate-speech detection, and other tasks in Iberian and Latin American language contexts (e.g. Latin American social media analysis). * Digital humanities & cultural heritage: NLP for historical texts, literature, and cultural content in Spanish, Portuguese, and regional languages. * Community-driven methods: Crowdsourcing, citizen science, and participatory approaches for data collection and annotation in these languages. * Evaluation and benchmarks: Development of evaluation metrics and benchmarks tailored to low-resource Iberian/Latin languages. * Ethical and social issues: Fairness, bias, and indigenous language rights in NLP; collaboration with native speaker communities; data governance and sustainability of resources. Important dates * February 18, 2026: Paper submission deadline * March 20, 2026 Notification of acceptance * March 30, 2026: Camera-ready deadline * May 16, 2026: Networking Symposium Date Submission Instructions We invite non anonymous submissions in English, Spanish or Portuguese on the topics of interest between 4 and 8 pages of content. The page limit of 8 pages does not include acknowledgements, references, potential Ethics Statements and discussion on Limitations in line with the policy of the main LREC conference. All submissions must follow the LREC stylesheet (https://lrec2026.info/authors-kit/). Any submissions which are over-length, poorly formatted or make excessive use of appendices to circumvent page limits are liable to desk-rejection. At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map (https://lremap.elra.info/), which provides metadata for the resource. Organizing Committee * Luis Chiruzzo Inco (AmericasNLP, luischir(a)fing.edu.uy<mailto:luischir@fing.edu.uy>) * Pablo Gamallo (PROPOR, CiTIUS, pablo.gamallo(a)usc.gal<mailto:pablo.gamallo@usc.gal>) * María Grandury (SomosNLP, EPFL, mariagrandury(a)gmail.com<mailto:mariagrandury@gmail.com>) * Rafael Muñoz Guillena (SEPLN, CENID, UA, rafael(a)dlsi.ua.es<mailto:rafael@dlsi.ua.es>) * German Rigau Claramunt (CLARIAH-ES. HiTZ Center, EHU, german.rigau(a)ehu.eus<mailto:german.rigau@ehu.eus>)

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LREC 2026 invites presentation proposals for its signature Industry Day
by info＠elda.org 07 Jan '26

07 Jan '26

[Apologies for multiple postings] Call for Industry Day @ LREC 2026 LREC 2026 invites presentation proposals for its signature Industry Day. The Industry Day will take place on 14th May, 2026 in Palma, Mallorca (Spain). The objective of the Industry Day is to: * provide a unique forum for researchers, industry players, and funding agencies from across a wide spectrum of areas to discuss challenges, achievements and synergies, * bridge the gap between academic research and real-world industry practices, including resource development and evaluation methodologies, * provide a networking platform for conference participants, experts, and professionals to foster international collaborations, * connect researchers and industry leaders in order to identify employment or internship opportunities. The events of the day will include: * presentations by industry participants on their applications and innovation in the field of AI, NLP, and Speech processing, * a panel session where participants will gain insights on both challenges and initiatives that relate to today’s AI advancements, * a networking lunch with a student poster session. Topics of interest include: Language Resource Development Methods and tools for mono- and multi-lingual language resource development and annotation Knowledge discovery/representation (knowledge graphs, linked data, terminologies, lexicons, ontologies, etc.) Resource development for less-resourced/endangered languages Guidelines, standards, best practices, and models for interoperability Language Resource Use Use of language resources in systems and applications for any area of language and speech processing Use of language resources in assistive technologies, support for accessibility Efficient/low-resource methods for language and speech processing Evaluation Methodologies and protocols for evaluation and benchmarking of language technologies Measures for validation of language resources and quality assurance Usability of user interfaces and dialogue systems Bias, safety, and user satisfaction metrics Interpretability/explainability of language models and language and speech processing tools Language Resources and Large Language Models Language resource development for LLMs (monolingual, multilingual, multimodal) (Semi-)automatic generation of training data Training, fine-tuning, adaptation, alignment, and representation learning Guardrails, filters, and modules for generative AI models Policy and Organizational Considerations International and national activities, projects, initiatives, and policies Language coverage and diversity Replicability and reproducibility Organisational, economic, ethical, climate, and legal issues Proposal Format Only an abstract submission is required for a presentation proposal (not a full paper) and it will not be included in the conference proceedings or ACL Anthology. We also welcome abstracts based on previously published work, or papers submitted to LREC’s main conference or workshops. Please submit your abstract proposal via the following form https://forms.gle/CQTBLcMxuL1cjmUf7 <https://forms.gle/CQTBLcMxuL1cjmUf7> Applications require an abstract of 150-200 words along with a short bio. Submission Deadline: February 16, 2024 Notification of acceptance: March 13, 2024 For more information, please send an email to lrec2026-industry-track-chairs(a)googlegroups.com referring to LREC 2026 Industry Day in the subject line. Industry Chairs Natalie Schluter, Apple and IT University of Copenhagen Teresa Lynn, Mohamed bin Zayed University of Artificial Intelligence

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