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LREC 2026 Online Registration now open
by info＠elda.org 24 Feb '26

24 Feb '26

[Apologies for multiple postings] The online registration for LREC 2026 Main conference, Workshops and Tutorials is now open @ https://cvent.me/XakVZG Early-Bird Deadline: March 6, 2026 (23:59 AoE) Fees: https://lrec2026.info/registration-fees/ Registration Policy: https://lrec2026.info/registration-policy/ LREC 2026 Contacts * Invitation and visa letters: german.rigau(a)ehu.es * ELRA membership, payment, invoices: elrasecretariat(a)lrec2026.info * Scientific programme and Main conference papers: lrec2026-pcs(a)googlegroups.com * Workshops: lrec2026-workshop-chairs(a)googlegroups.com * Tutorials: lrec2026-tutorial-chairs(a)googlegroups.com General contact: info(a)lrec2026.info https://lrec2026.info Follow ELRA on LinkedIn

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Second Call For Participation - CLEF Shared Task on Person-Place Relation Extraction from Multilingual Historical Texts (HIPE 2026)
by Juri Opitz 24 Feb '26

24 Feb '26

*(apologies for cross-postings)* ------------------------------ *HIPE:* Identifying Historical People, Places and other Entities. *Website:* https://hipe-eval.github.io/HIPE-2026/ *Tasks:* Person-Location Relation Extraction from Multilingual Historical Texts. *Registration:* https://clef-labs-registration.dipintra.it/ (until 23 April 2026) *Training data releases:* 19 Dec 2025 (partial); 19 Jan 2026 (full) *Evaluation period:* 5–7 May 2026 *Workshop venue:* during CLEF conference, 21–24 September 2026, Jena, Germany. *LinkedIn:* @ImpressoProject / #HIPE2026 / @clef_initiative / #clef2026 ------------------------------ "Who was where when?" We invite participation in the third edition of the HIPE shared task, dedicated to the extraction of person–place relations in multilingual historical documents. Building on the success of HIPE-2020 and HIPE-2022, which focused on entity recognition and linking, HIPE-2026 aims to enable finer-grained analysis of entities and support the accurate reconstruction of individuals’ geographical and temporal trajectories. The objective of HIPE-2026 is to *build systems capable of determining whether a relation holds between a person and a location (place) mentioned in a document*, and classify its temporal scope. Participants are asked to develop systems that determine, for each (person, location) pair associated with a historical document, whether the text implies that the person is at that location within the document’s temporal horizon (isAt relation), or that the person was there at some earlier moment in their life (a more general At relation), or that no such link can be established. Can large language models take up the challenges? Simple co-occurrences of entity mentions in a text are not sufficient to uncover the implicit and explicit, temporally anchored relations between person and locations. Addressing this challenge requires temporal reasoning, geographical inference, and the interpretation of noisy historical texts (often with only fragmentary contextual cues) to classify person–location relations with varying degrees of certainty. The task is designed to be tackled by generative AI systems/LLMs as well as by more traditional classification approaches. HIPE-2026 features two evaluation profiles - *Accuracy Profile*: Focusing on system performance in relation classification. - *Efficiency Profile*: Rewarding scalable, lightweight approaches considering model size and compute cost. - *Generalization Profile*: An unseen dataset from a different domain will be included to evaluate systems’ ability to generalise beyond the newspaper domain data. For the accuracy and efficiency profile, data originate from historical newspapers in English, German, French and Luxembourgish. Entity pairs will be provided. For further information on data, tasks, and evaluation settings - HIPE-2026 website: https://hipe-eval.github.io/HIPE-2026/ - Participation Guidelines: https://doi.org/10.5281/zenodo.17800136 - HIPE-2026-data GitHub repository: https://github.com/hipe-eval/HIPE-2026-data On HIPE shared tasks: HIPE evaluation lab series is part of the ongoing efforts of the natural language processing and digital humanities communities to adapt and develop technologies to efficiently retrieving and exploring information from historical texts. Important dates ------------------------- - 17 Nov 2025: Lab registration opens. - 03 Dec 2025: Release of example data. - 19 Dec 2025: Release of partial training data. - 19 Jan 2026: Release of final training data. - 23 Apr 2026: Lab registration closes. - 05 May 2026: Test data release (10:00 CEST). - 07 May 2026: Participant run submission deadline. - 13 May 2026: Publication of results and release of test data. - 28 May 2026: Submission of participant notebook paper. - 10 Jul 2026 / 31 Aug 2026: CLEF conference regular/late registration DL. - 21 Sep 2026: CLEF 2026 Conference. Best regards, *HIPE-2026 Shared Task Organizers* https://hipe-eval.github.io/HIPE-2026/

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Final CfP and deadline extension Resources for African Indigenous Languages (RAIL)@LREC
by Menno Van Zaanen 24 Feb '26

24 Feb '26

Final Call for Papers and deadline extension! Seventh Workshop on Resources for African Indigenous Languages (RAIL) Co-located with LREC 2026 RAIL Workshop date: 12 May 2026 RAIL website: https://sadilar.org/en/seventh-workshop-on-resources-for-african-indigenous… Submission link for the RAIL workshop: https://softconf.com/lrec2026/RAIL2026/ LREC Conference dates: 11-16 May 2026 LREC website: https://www.elra.info/lrec2026/ Venue: Palau de Congressos de Palma, Palma de Mallorca (Spain) The Resources for African Indigenous Languages (RAIL) workshop provides an interdisciplinary platform for researchers working on resources such as data collections and annotations, Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, and their applications, specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. The seventh Resources for African Indigenous Languages (RAIL) workshop will be co-located with the Language Resources and Evaluation Conference (LREC) 2026 in Palau de Congressos de Palma, Palma, Mallorca (Spain). Many African languages are under-resourced while only a few are considered to be somewhat better resourced. These languages often share interesting properties such as writing systems, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of NLP and HLT tools, which in turn impedes the development of African languages in these areas. During previous workshops, it was noted that the problems and solutions presented were not only applicable to African languages but were also relevant to many other low-resource languages across the world. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop theme is “Creating resources for less-resourced African languages”, but submissions on any topic related to properties of African indigenous languages (including related non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under-resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources * Applications that make use of data collections of African indigenous languages Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, should adhere to the LREC conference requirements. These requirements are described in LREC’s authors kit: https://lrec2026.info/authors-kit/. The submission should be double blind and each submission should be between four and eight pages. Only oral papers should be submitted. The maximum number of pages excludes a compulsory ethics statement, discussion on limitations, and references and optional acknowledgements, as well as data and code availability statements if applicable. Appendices or supplementary material are allowed, but this information will not necessarily be taken into account during the review process. The submission link for the RAIL workshop: https://softconf.com/lrec2026/RAIL2026/ Authors are encouraged to upload their datasets to the SADiLaR repository: https://repo.sadilar.org/. In case of difficulties uploading the datasets, please reach out to Benito Trollip (benito.trollip(a)nwu.ac.za). Important dates: Submission deadline: 1 March 2026 AoE Date of notification: 11 March 2026 AoE Camera ready copy deadline: 30 March 2026 AoE Workshop: 12 May 2026 Organising Committee: Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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[CfP + DEADLINE extension] Knowledge Graphs and Large Language Models (KG–LLM 2026) @ LREC 2026
by Gilles Sérasset 24 Feb '26

24 Feb '26

Knowledge Graphs and Large Language Models (KG–LLM 2026) @ LREC 2026 Last CfP — Deadline extended We are pleased to announce the Workshop on Knowledge Graphs and Large Language Models (KG–LLM 2026), to be held in conjunction with LREC 2026 in Palma de Mallorca, Spain, May 16th 2026. We invite submissions of original research that leverages both Knowledge Graphs (KGs) and Large Language Models (LLMs) in any domain of Natural Language Processing or language resource development. More information at https://kg-llm.github.io/ Workshop Overview Large Language Models have become foundational in NLP, yet they continue to face challenges related to bias, hallucination, explainability, environmental impact, and the cost of training. Knowledge Graphs, in contrast, provide high-quality, interpretable, and reusable ontological and linguistic structures that support reasoning, fact checking, and knowledge preservation. The goal of this workshop is to bring together researchers working at the intersection of these two paradigms, exploring how explicit knowledge and implicit statistical learning can enhance each other. We welcome contributions that investigate, demonstrate, or evaluate systems, methods, or resources integrating both KGs and LLMs. Topics of Interest We encourage submissions on (but not limited to): 1. LLMs for Knowledge Graph Engineering KG modelling, resource creation, and interlinking Relation extraction Corpus annotation Ontology localization Creation or expansion of linguistic or knowledge graphs KG querying and question answering 2. Knowledge Graphs for Large Language Models Using linguistic or knowledge graphs as training data Fine-tuning LLMs using linked linguistic (meta)data Knowledge/linguistic graph embeddings KGs for model explainability, provenance, and source attribution Neural models for under-resourced languages KG-augmented RAG (KG-RAG) 3. Joint Use of KGs and LLMs in Applications Combined KG–LLM use cases with structured linguistic data Digital humanities applications Question answering over graph data Fake news and misinformation detection Educational applications and assisted learning Visualizing academic writing with KGs and LLMs KG-enhanced chatbots for health and medical contexts Application Domains All application domains are welcome (Digital Humanities, FinTech, Linguistics, Education, Cybersecurity, etc.) as long as the work uses both Knowledge Graphs and Large Language Models. Submission Guidelines Submission Format: Papers up to 8 pages excluding references. Style: All submissions must follow the LREC 2026 format and use the official LREC author kit. (available at https://lrec2026.info/authors-kit/ ) Review Process: Double-blind peer review. Submissions must be fully anonymized. Submission System: Papers must be submitted via the START conference system at https://softconf.com/lrec2026/KGLLM/ Language Resources: In line with LREC policies, authors are encouraged to describe, document, and share language resources, datasets, models, evaluation tools, or annotation guidelines used or created in their work. Accepted Papers: All accepted papers will be included in the LREC 2026 workshop proceedings. Presentation: Accepted papers will be presented as oral or poster sessions during the workshop. Important Dates *All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)* Paper submission deadline: 1 March 2026 Notification to authors: 24 March 2026 Camera-ready due: 30 March 2026 Workshop date: 16 May 2026 Contact For questions, please contact the workshop organizers at: kg-llm-26(a)googlegroups.com Organizing Committee Gilles Sérasset, Université Grenoble Alpes, France Katerina Gkirtzou, Athena Research Center, Greece Michael Cochez, Ellis Institute Finland & Åbo Akademi, Finland Jan-Christoph Kalo, University of Amsterdam, Netherlands

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[Call for Papers] NLPercep: The First Workshop on Centering Social Perception in Natural Language Processing
by Aswathy Velutharambath 24 Feb '26

24 Feb '26

# CfP: NLPercep: The First Workshop on Centering Social Perception in Natural Language Processing The First Workshop on Centering Social Perception in Natural Language Processing (NLPercep’26) will be co-located with the International AAAI Conference on Web and Social Media (ICWSM’26) and will take place on Tuesday, May 26, 2026 in *Los Angeles, California, USA. **Deadline for paper submission: March 10, 2026** Social perception plays a central role in how language is interpreted: readers form impressions about intent, politeness, credibility, identity, and more from subtle linguistic cues. However, most NLP systems model these phenomena using surface-level proxies (e.g., fixed labels for “toxicity,” “politeness,” or “demographic information”), often treating socially grounded judgments as fixed properties of text. As a result, they can blur the distinction between what a text is intended to convey and how it is perceived in context, limiting our ability to build systems that reflect how people interpret language across contexts and communities. NLPercep’26 aims to bridge this gap by bringing together researchers from NLP, computational social science, sociolinguistics, psychology, and related fields to study how language is perceived and not just what it encodes. The workshop places particular emphasis on the role of social perception in the era of large language models (LLMs) and evolving communication norms. We invite interdisciplinary contributions that advance theoretical grounding, computational modeling, and empirical understanding of social perception in language. We welcome submissions on topics including, but not restricted to, the following: - self-perception, identity, and self-expression in language; - social group perception, stereotypes, and bias; - sociolinguistic perception and language attitude; - social norms, moral values, and evaluative judgments; - computational and NLP approaches to social perception; - large language models (LLMs) and social perception. **Submission types** We invite the following types of submissions: Archival: - Long papers (5 to 8 pages) that present original research, from preliminary findings to established contributions, including theory, experiments, or applications. - Short papers (up to 4 pages) that introduce emerging ideas, work in progress, or early-stage research with clear significance. Non-archival: - Extended Abstracts (up to 2 pages)that present ongoing work, position papers, previously published work, or research projects. Abstracts can be submitted either for inclusion in the proceedings (archival) or as non-archival contributions. All papers must follow the AAAI two-column, camera-ready style, for US Letter (8.5" x 11") paper (available templates: AAAI 2025 Author Kit on Overleaf or AAAI 2025 Author Kit.zip [Word and LaTeX]). The review process will be double-blind. Please anonymize your papers by removing identifying information such as author names, affiliations, and funding details. **Important Dates** Paper submission deadline: March 10, 2026 Notification of acceptance: April 15, 2026 Camera ready: May 15, 2026 NLPercep Workshop day: May 26, 2026 Note: All deadlines are 11:59 pm UTC -12h (anywhere on earth). **Organizers** Hongyu Chen, University of Stuttgart Aswathy Velutharambath, University of Stuttgart Amelie Wührl, IT University of Copenhagen Sofie Labat, Ghent University, Harvard University Lindsay Goolsby, University of Denver Aidan Combs, The Ohio State University Agnieszka Faleńska, University of Stuttgart Roman Klinger, University of Bamberg **Website and Contact** For further information and updates, visit the NLPercep website: https://nlpercep.github.io/workshop/ If you have any questions, please contact: nlpercep-workshop(a)iris.uni-stuttgart.de

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Charles (Chuck) F. Meyer, RIP
by jk＠etinu.com 24 Feb '26

24 Feb '26

Dear friends, I've only just discovered this morning that Chuck had died, actually last October, others who knew him - especially from ICAME conferences and for his work in Corpus Linguistics – might not be aware of his passing either, and hence I thought I would post this wholesome obituary which I found online. https://blogs.umb.edu/umasslinguistics/2025/11/06/obituary-professor-charle… His mentor was Sid Greenbaum, at the University of Wisconsin-Milwaukee. He compiled the written component of ICE-USA and collaborated with Jack DuBois on the spoken component, which uses material from the Santa Barbara Corpus. The first edition of his book _English Corpus Linguistics_ (CUP, 2008) is an excellent introduction to ICE-corpora. As the obituary stresses, he was a kind and warm-hearted guy and great good company. We enjoyed many beers and laughs together at ICAME conferences. I had visited him in Boston and he me in Belfast. May he rest in peace. -- Dr John Kirk Email: jk(a)etinu.com

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Funded PhD Position to work on Community-led Development of Technology for Under-Resourced Languages
by Ekaterina Vylomova 24 Feb '26

24 Feb '26

The PhD position is funded by ARC DECRA titled "Harnessing AI to Protect Endangered Languages" for 3 years, with Katerina Vylomova as a primary supervisor. The PhD student's research is expected to focus on technology for languages of Oceania, with a particular emphasis on collaboration (co-design) with local communities. The candidate is expected to have technical competence, ability to develop & improve contemporary NLP models, propose novel research ideas and innovative approaches. An ideal candidate would have existing connections to communities in Oceania, strong motivation to work on language technology, and increased interest in languages in general. Before you apply, please send me your CV, research proposal, and transcripts on vylomovae AT unimelb edu au. More information about the application process: https://study.unimelb.edu.au/find/courses/graduate/doctor-of-philosophy-eng…

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CFP: READIxTSAR 2026 - deadline extended to 2nd of March
by Rémi Cardon 23 Feb '26

23 Feb '26

READIxTSAR 2026 Last Call for Papers **Deadline Extended to March 2nd (AoE / UTC-12:00)** Website: https://readixtsar.github.io/ Submission Link: https://softconf.com/lrec2026/READIxTSAR/user/ READIxTSAR is a joint initiative between two previous workshops of mutual interest: Tools and Resources for REAding DIfficulties (READI, hosted at LREC 2020,22,24) and Text Simplification, Accessibility and Readability (TSAR, EMNLP 2022,24,25, RANLP 2023). This year at LREC, the committees of the two events have merged to deliver a joint event, uniting accessibility research communities under a common umbrella. We aim for READIxTSAR to be a focal point for communities of researchers working on reading difficulties, accessibility and simplification to network, share best practice and form new collaborations. *Motivation and Context* The growth of educational and assistive technologies for reading, aimed at enhancing the performance of individuals with disabilities, provides an important setting for Text Simplification research. The field of special education has had a longstanding interest in technology and the potential it holds for individuals with language/speech disabilities, cognitive disorders, etc. (Edyburn, 2000). This workshop aims to present state-of-the-art applications and approaches in technology-enhanced reading and innovations in text accessibility. The workshop will address specialized technology, tools, and resources, their impact on learning to read and comprehension, and innovative works spanning research to fieldwork, particularly in light of recent AI advances. Research in automatic text simplification has evolved from deep learning methods (Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021) to leveraging foundational large language models (Kew et al. 2023; Cripwell et al. 2023; Farajidizaji et al. 2024) through fine-tuning and prompt-engineering. Despite these advancements, the Text Accessibility and Text Simplification communities must address critical areas, including: designing better evaluation metrics, developing context-aware simplification solutions, creating appropriate language resources, deploying simplification in real-world environments, studying discourse factors, and identifying factors affecting readability. Addressing these issues requires collaboration across CL/NLP, machine learning, UI/UX, accessibility professionals, and public organizations, whom we invite to participate through publication and attendance. *Topics of Interest* The event will accept submissions at the intersection of the research areas of the two workshops, as well as submissions that are targeted to the specific research interests of either workshop. An indicative list of topics of interest are listed below. - Lexical, syntactic and discourse adaptations or simplifications; - ATS for sentences, paragraphs, or documents; - Controllable text simplification and text generation of adapted contents; - Measuring and evaluating readability and text complexity; - LLMs and agentic LLMs for text simplification, text adaptation and readability - The role of LLMs in supporting reading - Complex word identification (CWI) and lexical complexity prediction (LCP); - Models, corpora, lexicons for text adaptation and text assessment; - Evaluation of text adaptation or ATS systems; - Meaning representation and multimodal text adaptation; - Educational devices and/or smart technologies for supporting reading and learning; - Domain specific applications of the above topics (e.g. health, legal). *Important Dates (All deadlines AoE/UTC-12).* - Submission Deadline: 2nd March 2026 - Notification of Results: 16th March 2026 - Camera Ready: 30th March 2026 - READIxTSAR Workshop: 11th May 2026 *Submission Instructions* We invite submissions on 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, available at https://lrec2026.info/authors-kit/. All submissions must be made via START (https://softconf.com/lrec2026/READIxTSAR/). All submissions are double-blind. Any submissions which are not-anonymised, over-length, poorly formatted, out-of-scope 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, which provides metadata for the resource. *“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). As in previous editions for Camera Ready a Plain Summary will be requested. *Organisers* Matthew Shardlow, Manchester Metropolitan University, UK Thomas François, UCLouvain, Belgium Raquel Amaro, NOVA University Lisbon, Portugal Jorge Baptista, Universidade do Algarve & INESC-ID Lisboa, Portugal Rémi Cardon, Universidad Carlos III de Madrid, Spain Eugénio Ribeiro, Iscte-IUL & INESC-ID Lisboa, Portugal Regina Stodden, University Bielefeld, Germany Rodrigo Wilkens, University of Exeter, UK Horacio Saggion, Universitat Pompeu Fabra, Spain Amalia Todirascu, Université de Strasbourg, France *Programme Committee* Akio Hayakawa, Pompeu Fabra University Anna Dmitrieva, University of East Anglia Arne Jonsson, Linköping University Christina Niklaus, University of St.Gallen Daniele Schicchi, CNR-ITD David Kauchak, Pomona College Fernando Alva-Manchego, Cardiff University Giulia Venturi, Istituto di Linguistica Computazionale "Antonio Zampolli" Jaap Kamps, University of Amsterdam Jan Bakker, University of Amsterdam Jasper Degraeuwe, University of Ghent Kai North, Cambium Assessment Liana Ermakova, Université de Bretagne Occidentale Lourdes Moreno, Universidad Carlos III de Madrid Marcos Zampieri, George Mason University Martina Miliani, Università di Pisa Matthew Shardlow, Manchester Metropolitan University Michael Gille, Hamburg University of Applied Sciences Mounica Maddela, Bloomberg Natalia Grabar, CNRS, University of Lille Nouran Khallaf, University of Leeds Raquel Hervas, University Complutense of Madrid Regina Stodden, University of Bielefeld Rémi Cardon, Universidad Carlos III de Madrid Reno Kriz, Johns Hopkins Sandaru Seneviratne, The Australian National University Sowmya Vajjala, National Research Council, Canada Tadashi Nomoto, National Institute of Japanese Literature Tannon Kew, University of Zurich Thomas François, UCLouvain Tomoyuki Kajiwara, Ehime University Yannick Parmentier, LORIA Yingqiang Gao, University of Zurich Zihao LI, University of Manchester

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AI-Enabled Digital Accessibility Summer School 2026
by Constantin Orasan 23 Feb '26

23 Feb '26

AI-Enabled Digital Accessibility Summer School 2026 15-17 June 2026 | University of Surrey, UK https://www.surrey.ac.uk/centre-translation-studies/convergence-2026/summer… The inaugural ADA Summer School on AI-enabled Digital Accessibility will take place from 15 to 17 June 2026 at the University of Surrey, hosted by the Centre for Translation Studies with support from the ADA Leverhulme Trust Doctoral Scholarships Network. The summer school precedes the Convergence 2026 conference<https://www.surrey.ac.uk/centre-translation-studies/convergence-2026>: Human-AI Integration for Multilingual and Accessible Communication. About the Summer School AI-enabled Digital Accessibility (ADA) is an exciting field that brings together expertise from artificial intelligence, computer science, translation studies, accessible communication, cognitive and social sciences, and inclusive design. ADA explores how advances in AI can work alongside human expertise to improve digital media access for a wide range of users. The specific focus of ADA is on enhancing accessible communication and creating high-quality accessible content at scale. Current ADA projects focus on the use of AI in accessibility practices such as subtitling, captioning and audio description, as well as on approaches to improve cognitive access, text simplification and multilingual accessibility. This emerging field represents a paradigm shift from purely engineering-led, AI-driven methods towards an AI-enabled approach where user needs guide the development of responsible, nuanced solutions for accessible digital content. At ADA's core is the principle that only human-in-control approaches can effectively mitigate AI risks, such as bias, errors, and privacy concerns. ADA therefore aims to establish a new interdisciplinary research paradigm leading to truly responsible research designs and solutions. This intensive 2.5-day Summer School will equip participants with critical knowledge, research insights, and methodological skills essential to kickstart and/or refine cutting-edge research in this area. You'll explore interdisciplinary approaches based on the latest projects in this field and develop collaborative research skills that prioritise human-centred integration of AI technologies in digital accessible communication. Application process will open on the 15th Feb 2026. More details can be found at https://www.surrey.ac.uk/centre-translation-studies/convergence-2026/summer… --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies> Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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2nd CfA: Conference "How does artificial intelligence challenge our traditional understanding of legal reasoning?" August 27-28, 2026, University of St.Gallen
by reto.gubelmann＠uzh.ch 23 Feb '26

23 Feb '26

Dear Colleagues, I would like to draw your attention to a conference that I’m co-organizing. Please find the call for Abstracts below. For further inquiries, please contact the Organizing Committee at: conference-ile(a)unisg.ch . All best, Reto Gubelmann University of Zurich ********************************* CALL FOR ABSTRACTS How does artificial intelligence challenge our traditional understanding of legal reasoning? August 27-28, 2026, University of St. Gallen This international conference invites scholars, practitioners, and Natural Language Processing (NLP) researchers to explore how contemporary Language AI Systems—especially large language models (LLMs) and Deep Learning Methods—reshape fundamental assumptions and methods about legal method, interpretation, and decision-making. Legal practice often presents itself as value-laden, interpretive, and methodologically disciplined. Yet current Language AI predominantly operate through statistical pattern recognition and representation rather than propositional argument. This tension raises pressing questions: Does Language AI merely automate inessential aspects of legal work, or does it reveal that legal reasoning itself has long contained implicit statistical or probabilistic elements? Do machine-generated legal outputs expose hidden (ir)regularities in judicial and administrative practice? And how should legal theory respond when computational systems appear to “mimic” legal judgment without en-gaging, for all we know, in human-like, propositional reasoning? We especially welcome contributions addressing, but not limited to, the following themes: • Statistical Aspects in Legal Reasoning: What role do probabilistic or statistical considerations already play—implicitly or explicitly—in legal interpretation and decision-making? • AI and the Transformation of Legal Method: Does the rise of generative Language AI undermine traditional conceptions of doctrinal reasoning, hermeneutics, or precedent? • Values, Normativity, and Language: How do values enter legal language, and can AI systems meaningfully represent or operationalize normative commitments? • AI as Mirror or Distortion of Legal Practice: Does AI reveal the latent patterns of legal discourse, contributing to a more objective practice, or does it impose new biases and structures that distort legal meaning? • Epistemic, Democratic, and Ethical Implications: What does the integration of (currently largely private and often closed-sourced) AI into legal institutions (public administration or courts) imply for legitimacy, transparency, and the rule of law? We invite submissions from law, philosophy, NLP, (computational) linguistics, computer science, statistics and related fields. Both theoretical and empirical contributions are welcome. Confirmed Keynote Speakers • Prof. Dr. Christoph Engel, Max Planck Institute, Bonn • Dr. Joel Niklaus, Machine Learning Engineer, Hugging Face Submission Guidelines: Abstract • Scope: 300–500 words • Submission deadline: February 28, 2026, to conference-ile(a)unisg.ch • Form: Anonymized PDF. Please indicate your name, affiliation and contact information in the body of your email • Notification of acceptance: April 2, 2026 Paper and presentation • Paper scope: 3,000 words • Submission deadline: August 14, 2025 • Presentations of 15 minutes, followed by 30 minutes discussion, online presentations are possible Scientific and Organizing Committee • Désirée Klingler, University of St. Gallen • Peter Hongler, University of St. Gallen • Reto Gubelmann, University of Zurich

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