December 2025 - Corpora

CLARIN ERIC Newsflash: December 2025
by Gorgaini, E. (Elisa) 16 Dec '25

16 Dec '25

Dear colleagues, The December edition of the CLARIN Newsflash is out. Highlights include: * A review of 2025 with key achievements and milestones * Direct links to the Annual Conference recordings and an impression video, perfect inspiration if you are considering to submit your abstracts for CLARIN2026 * An overview of CLARIN’s presence at LREC including co-organised workshops Additionally, the call for extended abstracts for CLARIN 2026 is now open. Submission deadline 6 April 2026. Link to the call: https://www.clarin.eu/content/call-extended-abstracts-clarin-annual-confere… Read the newsletter: https://www.clarin.eu/content/clarin-newsflash-december-2025 Subscribe to the newsletter here<http://eepurl.com/bOt3Qn>. Kind regards, CLARIN ERIC --- Elisa Gorgaini Communication Officer - CLARIN ERIC Utrecht University | Drift 10, 3512 BS Utrecht, The Netherlands e.gorgaini(a)uu.nl<mailto:e.gorgaini@uu.nl> | elisa(a)clarin.eu<mailto:elisa@clarin.eu> www.clarin.eu<https://www.clarin.eu>

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Call for Shared Task Proposals: ArgMining 2026
by Musi, Elena 16 Dec '25

16 Dec '25

We invite submissions of shared task proposals for ArgMining 2026, the 13th Workshop on Argument Mining and Reasoning, co-located with ACL 2026 (San Diego). Background Argument mining (also known as argumentation mining) is a well-established area in computational linguistics focusing on the automatic identification of argumentative structures such as premises, conclusions, and inference schemes. The field has historically emphasized the development of large-scale datasets and tasks including argument quality assessment, argument persuasiveness, and argumentative text synthesis across domains such as legal, social, medical, political, and scientific settings. In line with broader advances in CL and NLP, recent work has expanded toward explainable argumentation, multimodal settings, and modeling human label variation. Previous editions of ArgMining have promoted shared tasks to advance research on specific aspects of argument mining, including: * Multimodal argumentative fallacy detection: https://nlp-unibo.github.io/mm-argfallacy/2025/ Dialogical argument mining: http://dialam.arg.tech/ ArgMining 2026 Shared Tasks Following the success of prior workshops, ArgMining 2026 plans to feature one or more shared tasks addressing unsolved problems for the community to investigate. In keeping with this year’s special theme—“Understanding and evaluating arguments in both human and machine reasoning”—we particularly encourage proposals aligned with this focus. What to Include in a Proposal Shared task proposals should include: * Title and brief task description * Description of the datasets to be used and their readiness * Previous work on the datasets, including relevant publications (if any) * A short description of the evaluation methodology for submitted systems * Brief introduction of the task organizers * Anticipated timeline, including dates for dataset releases and final evaluation How to Submit Submit your shared task proposal via email to: argmining.org [at] gmail.com * Submission deadline: December 22, 2025 * Notification of acceptance: beginning/mid January 2026 Tentative Shared Task Schedule * Mid January: Training data release * Early March: Test data release; evaluation start * Mid/late March: Evaluation end * Early April: Results announcement * Mid April: Paper submission deadline * Mid May: Camera-ready deadline * July: ArgMining 2026 workshop (at ACL) Organizers Mohamed Elaraby (University of Pittsburgh) Annette Hautli-Janisz (University of Passau) John Lawrence (University of Dundee) Elena Musi (University of Liverpool) Julia Romberg (GESIS) Federico Ruggeri (University of Bologna)

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Call for papers 13th Workshop on Argument Mining and Reasoning
by Musi, Elena 16 Dec '25

16 Dec '25

Call for Papers: ArgMining 2026 – Workshop on Argument Mining The Workshop on Argument Mining (ArgMining) provides a regular forum for presenting and discussing cutting-edge research in argument mining (a.k.a. argumentation mining) for academic and industry researchers. Continuing a series of twelve successful previous workshops, the 2026 edition welcomes submissions of long papers, short papers, extended abstracts, and PhD proposals. Workshop Theme The 2026 edition of ArgMining places a special focus on understanding and evaluating arguments in both human and machine reasoning. With this theme, we broaden the workshop’s scope to include reasoning—a long-standing area of AI research that has recently gained renewed interest within the ACL community, driven by the latest generation of large language models (LLMs). Reasoning is tightly connected to argumentation, as it represents, analyzes, and evaluates the process of reaching conclusions based on available information. Viewing argumentation as a paradigm for capturing reasoning enables the evaluation of machines (particularly LLMs) based on their ability to address argument mining tasks. Topics of Interest Topics include, but are not limited to: * Automatic extraction of textual patterns describing argument components in human and machine argumentation * Cross-lingual, cross-cultural, and multi-perspective argument mining and reasoning * Argument mining and generation from multimodal and/or multilingual data * Explainability in argument mining through reasoning * Modeling, assessing, and critically reflecting on the argumentation capabilities of LLMs * Novel benchmarks in argument mining addressing recent developments in LLM reasoning * Guidelines for assessing and documenting reasoning processes reflected in benchmarks * Annotation guidelines, linguistic analysis, and argumentation corpora * Real-world applications (e.g., social sciences, education, law, scientific writing; misinformation detection) * Integration of commonsense and domain knowledge into argumentation models * Combining information retrieval with argument mining (e.g., argumentative search engines) * Ethical aspects and societal impact of argument mining and LLM reasoning Submissions from all application areas are welcome. Submission Types The workshop accepts the following submission types: * Long Papers (archival) * Short Papers (archival) * Extended Abstracts (non-archival) * PhD Proposals (non-archival) Accepted contributions will be presented as oral or poster presentations. Archival Submissions * Long papers: * Substantial, original, completed, and unpublished work * Up to 8 pages (excluding references) * Unlimited references * Up to 2 appendix pages * 1 additional page in the final version for reviewer comments * Short papers: * Original, unpublished work with a focused contribution * Not shortened versions of long papers * Up to 4 pages (excluding references) * Unlimited references * Up to 1 appendix page * 1 additional page in the final version for reviewer comments Non-Archival Submissions * Extended abstracts: * Up to 2 pages including references * 1 additional appendix page for tables/figures * Selection based on workshop fit and the special theme * Priority given to abstracts with doctoral students as first authors unable to present at *CL conferences due to visa restrictions * PhD proposals: * Up to 4 pages * Description of PhD project, research challenges, contributions, and future directions * Presented in a dedicated poster session for feedback and discussion Multiple Submissions Policy ArgMining 2026 will not consider papers simultaneously under review elsewhere. Submissions overlapping significantly (>25%) with active ARR submissions will not be accepted. ARR-reviewed papers are allowed if reviews and meta-reviews are available by the ARR commitment deadline. Submission Format * Two-column ACL 2026 format * LaTeX or Microsoft Word templates * PDF submissions only * Submissions via OpenReview Important Dates * Direct paper submission deadline (archival): March 5, 2026 * ARR commitment deadline (archival): March 24, 2026 * Direct paper submission deadline (non-archival): April 7, 2026 * Notification of acceptance: April 28, 2026 * Camera-ready deadline: May 12, 2026 * Workshop dates: July 2–3, 2026 Review Policy Long and short papers will follow ACL double-blind review policies. Submissions must be anonymized, including self-references and links. Papers violating anonymity requirements will be rejected without review. Demo descriptions are exempt from anonymization. Best Paper Award ArgMining 2026 will present a Best Paper Award to recognize significant contributions to argument mining research. All accepted papers are eligible. Contact and Information Website: https://argminingorg.github.io/2026/ Email: argmining.org [at] gmail.com Workshop Organizers Mohamed Elaraby (University of Pittsburgh) Annette Hautli-Janisz (University of Passau) John Lawrence (University of Dundee) Elena Musi (University of Liverpool) Julia Romberg (GESIS Leibniz Institute for the Social Sciences) Federico Ruggeri (University of Bologna)

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ARHAHA 2026
by Sharefah A. Al Ghamdi 16 Dec '25

16 Dec '25

We’re excited to invite you to take part in ARHAHA 2026, a shared task on Arabic Humor Generation, hosted at OSACT7 and co-located with LREC 2026. Description: Participants will develop systems that generate original, safe, and culturally appropriate humorous content in Arabic under a set of carefully designed constraints. The task aims to push models beyond memorization and towards genuine humorous creativity. Humor Generation Task This task focuses on building and evaluating systems that generate short humorous texts in Arabic given constrained prompts. Task Summary Input: A pair of Arabic words Output: A short humorous Arabic text (maximum 100 characters) Evaluation: Automated format and constraint validation Human evaluation of humor quality, originality, fluency, and cultural appropriateness The website for the shared task is: https://sites.google.com/view/arhaha2026/home How to Participate? Registration is required, please complete the registration form. Join the ARAHAHA at Slack workspace. System Description Papers All participating teams are encouraged to submit a short system description paper. Papers will be included in the workshop proceedings and do not require high leaderboard ranking. We welcome creative approaches, analysis, and lessons learned. Contact For questions or clarifications, please contact the organizing team at arhaha2026(a)gmail.com We look forward to your participation and contributions! Best regards, The ARHAHA 2026 Organizing Team ________________________________ Disclaimer: This communication is intended for the above named person and is confidential and / or legally privileged. Any opinion(s) expressed in this communication are not necessarily those of KSU (King Saud University). If it has come to you in error you must take no action based upon it, nor must you print it, copy it, forward it, or show it to anyone. Please delete and destroy the e-mail and any attachments and inform the sender immediately. Thank you. KSU is not responsible for the political, religious, racial or partisan opinion in any correspondence conducted by its domain users. Therefore, any such opinion expressed, whether explicitly or implicitly, in any said correspondence is not to be interpreted as that of KSU. KSU may monitor all incoming and outgoing e-mails in line with KSU business practice. Although KSU has taken steps to ensure that e-mails and attachments are free from any virus, we advise that, in keeping with best business practice, the recipient must ensure they are actually virus free.

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Call for Participation in Touché @ CLEF 2026: Shared Tasks on Argumentation Systems (Fallacies, Causality, Generalizability, Advertisements)
by Johannes.Kiesel＠gesis.org 15 Dec '25

15 Dec '25

Touché @ CLEF 2026: Shared Tasks on Argumentation Systems (Fallacies, Causality, Generalizability, Advertisements) Call for Participation We invite you to participate in the following shared tasks at Touché 2026 held in conjunction with the CLEF conference. 1. Fallacy Detection. Given an argument, determine whether it is fallacious and what type of fallacy it is. https://touche.webis.de/clef26/touche26-web/fallacy-detection.html 2. Causality Extraction. Given a text, determine whether it contains causal information, identify the information in the text, and classify the expressed relationship. https://touche.webis.de/clef26/touche26-web/causality-extraction.html 3. Generalizability of Argument Identification in Context. Given a sentence from some argumentation dataset, determine whether the sentence was annotated as argument (using annotator guidelines etc.). https://touche.webis.de/clef26/touche26-web/generalizable-argument-mining.h… 4. Advertisement in Retrieval-Augmented Generation (RAG). Given a query and response of an RAG system, determine whether the response contains an ad, identify the ad in the response, and remove the ad. https://touche.webis.de/clef25/touche25-web/advertisement-detection.html Find out more at https://touche.webis.de/clef26/touche26-web/ and join our mailing list at https://groups.google.com/g/touche-lab for staying up to date. Awards -------------------------- The best submission for each task will receive an award. In addition, our partners at Methods Hub (https://methodshub.gesis.org/) have agreed to provide priority support to the award-winning teams in developing their submissions into fully reusable software packages to maximize your impact. Important Dates -------------------------- 2026-05-07: Approaches submission deadline 2026-05-28: Participant paper submission 2026-06-30: Peer review notification 2026-07-06: Camera-ready participant papers submission 2026-09 21-24: CLEF Conference in Jena and Touché Workshop Links -------------------------- Touché: https://touche.webis.de Contact: touche(a)webis.de We are looking forward to your submission! The Touché team

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Deadline extended: VarDial 2026 @ EACL – The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects
by verena.blaschke＠cis.lmu.de 15 Dec '25

15 Dec '25

Dear all, This is the last CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects. We have extended the submission deadlines (January 2 for direct submissions, January 10 for committing pre-reviewed submissions), see details below. Apologies for cross-posting! -- VarDial 2026: https://sites.google.com/view/vardial-2026/ VarDial 2026 will be colocated with EACL 2026 in Rabat, Morocco. We anticipate a discussion on computational methods and language resources for closely related languages, language varieties, and dialects. We welcome papers dealing with one or more of the following topics: - Language resources and tools for similar languages, varieties and dialects; - Evaluation of language resources and tools applied to non-dominant language varieties; - Cross-lingual transfer and adaptation of models to similar languages, varieties and dialects; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Machine translation between closely-related languages, language varieties and dialects; - Corpus-driven studies in dialectology and language variation; - Computational approaches to mutual intelligibility between dialects and similar languages; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., cognate detection, semantic discrepancies, lexical gaps, false friends); - Studies focusing on related creole languages and their lexifier languages; - Studies focusing on diachronic language variation (e.g. phylogenetic methods, historical dialects). In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Instructions for Authors Submissions should be formatted according to the ACL Rolling Review template and submitted as a PDF. The review process will be double-blind. More information is on the website (https://sites.google.com/view/vardial-2026/). Important Dates - Direct Submission deadline: January 2, 2025 (updated!) - Pre-reviewed (ARR) submission deadline: January 10, 2026 (updated!) - Notification of acceptance: January 23, 2026 - Camera-ready paper due: February 3, 2026 - Workshop at EACL (hybrid): March 24-29, 2026 (exact date TBD) Shared Task: Arabic Modeling In Your Accent (AMIYA) VarDial 2026 will have a shared task on language modelling for dialectal Arabic (DA), where participants can contribute LLMs trained or adapted for DA. These will be evaluated using the AL-QASIDA benchmark (Robinson et al., 2025), an evaluation suite that comprehensively measures an LLM’s dialectal fidelity, understanding, generation quality, and MSA-DA diglossia in DA. More information: https://sites.google.com/view/vardial-2026/shared-tasks - Training data release: November 30, 2025 - Registration deadline, eval data finalized: December 15, 2025 - System submission deadline: January 10, 2025 - System description paper deadline: January 20, 2025 Workshop Organizers Yves Scherrer – University of Oslo (Norway) Noëmi Aepli – University of Pennsylvania (USA) Verena Blaschke – LMU Munich and Munich Center for Machine Learning (Germany) Tommi Jauhiainen – University of Helsinki (Finland) Nikola Ljubešić – Jožef Stefan Institute and University of Ljubljana (Slovenia) Preslav Nakov – Mohamed bin Zayed University of Artificial Intelligence (UAE) Jörg Tiedemann – University of Helsinki (Finland) Marcos Zampieri – George Mason University (USA) Contact: yves.scherrer(a)ifi.uio.no or verena.blaschke(a)cis.lmu.de

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December 2025 Newsletter - LDC
by Penn LDC 15 Dec '25

15 Dec '25

In this newsletter: LDC 2026 membership discounts now available LDC's 1000th corpus Approaching deadline for Spring 2026 data scholarship applications LDC closed for Winter Break December 25 - January 2 New publications: 2021 NIST Speaker Recognition Evaluation Development and Test Set<https://catalog.ldc.upenn.edu/LDC2025S11> LORELEI Sinhala Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T17> ________________________________ LDC 2026 membership discounts now available Now through March 2, 2026, any organization that joins the Consortium or renews their membership will receive a 10% discount off the 2026 membership fee. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership options and benefits. LDC's 1,000th corpus LDC is delighted to announce the release of the 1,000th corpus into the Catalog! This milestone represents the commitment we made over thirty years ago to provide large quantities of diverse data, robust research program support, and exceptional member services. We are grateful for the continued support and collaboration of our members, friends, and the community. Approaching deadline for Spring 2026 data scholarship applications Attention students: don't miss out on the chance to receive no-cost access to LDC data for your research. Applications for Spring 2026 data scholarships are due January 15, 2026. For more information on requirements and program rules, see LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. LDC closed for Winter Break December 25-January 2 LDC will be closed from Thursday, December 25, 2025, through Friday, January 2, 2026, in accordance with the University of Pennsylvania Winter Break Policy. Our offices will reopen on Monday, January 5, 2026. Requests received by the Membership Office during Winter Break will be processed when the office reopens. ________________________________ New publications: 2021 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2025S11> was developed by LDC and NIST (National Institute of Standards and Technology). It contains approximately 447 hours of Cantonese, Mandarin, and English conversational telephone speech, audio from video, and selfie image data for development and test, along with answer keys, enrollment, trial files, and documentation from the NIST-sponsored 2021 Speaker Recognition Evaluation (SRE)<https://www.nist.gov/itl/iad/mig/nist-2021-speaker-recognition-evaluation-s…>. The SRE task is speaker detection, that is, to determine whether a specified target speaker was speaking during a segment of speech. SRE21 focused on telephone speech and audio from video and included close-up images of participants. The evaluation also featured cross-lingual trials, that is, enrollment and test segments spoken in different languages. The data was drawn from the WeCanTalk corpus collected by LDC in which speakers called friends or relatives who agreed to record their telephone conversations lasting between 8-10 minutes. Subjects contributed multiple conversational telephone speech recordings and audio recordings in which they were talking, plus a single selfie image. Recordings were manually audited to verify speaker, language, and quality. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Sinhala Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T17> was developed by LDC and is comprised of 8.1 million words of Sinhala monolingual text, 700,00 words of English monolingual text, 6.4 million words of parallel Sinhala- English text, and 50,000 words annotated for entity discovery and linking and situation frames. It constitutes all of the text data, annotations, supplemental resources, and related software tools for the Sinhala language used in the DARPA LORELEI / LoReHLT 2018 Evaluation<https://www.nist.gov/itl/iad/mig/lorehlt-evaluations>. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. In the evaluation scenario, an unforeseen event triggered a need for humanitarian and logistical support in a region where the incident language had received little or no attention in NLP research. Evaluation participants provided NLP solutions, including information extraction and machine translation, with limited resources and limited development time. Data was collected from news, social network, weblog, newsgroup, discussion forum, and reference material. Entity discovery and linking annotation identified entities to be detected by systems for scoring purposes. Situation frame analysis was designed to extract basic information about needs and relevant issues for planning a disaster response effort. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Mile for Posters and Demos Submissions
by Announce 15 Dec '25

15 Dec '25

*** Last Mile for Posters and Demos Submissions *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI submissions should address HCI challenges using machine intelligence and consider both computational and human- centric aspects. As AI becomes more integrated into everyday technology, understanding its role in meeting human needs is vital for developing effective and responsible systems. This conference fosters collaboration among experts from diverse fields to tackle significant issues in AI and HCI through discussions, workshops, and networking sessions. UI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Posters Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 4 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required, but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the poster session. Demos The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the demo sessions. Important Dates (AoE) • Submission: December 21, 2025 • Decision notification: January 26, 2026 • Camera-ready submission: February 6, 2026 Topics The topics for the Posters and Demos are the same as for the main track. Submission Instructions Papers must be up to 4 pages (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single-column format. We adopt the ACM TAPS Workflow. Please prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> . A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos (https://sigchi.org/resources/guides-for-authors/videos/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>). Please submit your demos and posters electronically to the Precision Conference Submission (PCS) Portal (https://new.precisionconference.com/user/login<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>) by the paper deadlines. In PCS, first click “Submissions” at the top of the page, from the dropdown menus for Society, Conference, and Track, please select “SIGCHI”, “IUI 2026”, and “IUI 2026 Posters” or “IUI 2026 Demos”, respectively, and then press “Go”. Note: If the corresponding author (the individual who submits the paper, not necessarily the first author) is affiliated with a participating institution that has an open access agreement with ACM, the Article Processing Charges (APCs) will be waived for publishing the paper. Details are under “Publication and Open Access”. Accessibility Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions. If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos. Please refer to the Accessibility page of the conference site for further details and guidelines. Usage of Generative AI All submissions must comply with the ACM policy on the usage of GenAI: the April 2023 ACM Policy on Authorship and Frequently Asked Questions. Text generated from a large-scale language model (LLM), such as ChatGPT, must be clearly marked where such tools are used for purposes beyond editing the author’s own text. Authors should include a “GenAI Usage Disclosure” section, right before the references, to provide full disclosure of all use of GenAI tools in all stages of the research (including the code and data) and the writing. This section, together with the references, will not be counted toward the word limit. While we do not anticipate using tools on a large scale to detect LLM-generated text, we will investigate submissions brought to our attention and desk reject papers where LLM use is not clearly marked. Organisation General Chairs • Tsvi Kuflik, The University of Haifa, Israel • Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair • George A. Papadopoulos, University of Cyprus, Cyprus Posters and Demos Chairs • Julia Sheidin, Braude College of Engineering, Israel • Marko Tkalcic, University of Primorska, Slovenia • Ming Yin, Purdue University, USA

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Call for Participation: SAIL Spring School 2026 at Paderborn University, Germany
by Yasir mahmood 15 Dec '25

15 Dec '25

** Call for Participation ** We are pleased to open the registration for the SAIL Spring School 2026, which will take place from 17–19 March 2026 at Paderborn University, Germany. Organized by the SAIL Research Network (Sustainable Life-cycle of Intelligent Socio-Technical Systems), the Spring School offers interdisciplinary perspectives on resilience and artificial intelligence, bringing together technical, theoretical, and socio-technical viewpoints. Over the course of three days, participants will gain insights into current research on knowledge-driven AI methods, explainability, and the role of AI in engineering robust and sustainable systems. A poster session and several social activities will provide further opportunities for exchange and networking. - Participation is free of charge, but due to limited capacity, registration is required. - All details and the registration form can be found here: https://indico.uni-paderborn.de/e/SAILspringschool <https://indico.uni-paderborn.de/e/SAILspringschool>- Registration deadline: 5 January 2026. We are happy to announce the following speakers and topics at the summer school: - Knowledge Representation as Political AI (Prof. Stefan Schlobach, Vrije Universiteit Amsterdam) - Data-efficient learning of physics systems by exploiting knowledge (Prof. Sebastian Peitz, TU Dortmund) - Symbol emergence in explainable and continual learning (Prof. Natalia Diaz Rodriguez, University of Granada) - Chances and Limits of AI in the Engineering of Resilient Software Systems (Prof. Eric Bodden. Paderborn University) - Engineering Cognitive Sustainability: How to Implement Social XAI (Prof. Kary Främling, Umeå University) - TBD (Prof. Sina Zarrieß, Bielefeld University) - TBD (Prof. Eyke Hüllermeier, LMU München) - TBD (Prof. Marco Platzner, Paderborn University) Further information about the SAIL Research Network can be found at: https://www.sail.nrw/ <https://www.sail.nrw/>

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job opening: prof. (W1 or W2) in ML / NLP, Düsseldorf, Germany
by Laura Kallmeyer 15 Dec '25

15 Dec '25

The Faculty of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a *****Professorship for Machine Learning***** (open rank: W2 or W1 with tenure track to W2) at the department of Computer Science to be filled as soon as possible. We are seeking an individual with outstanding expertise in the field of Machine Learning, particularly in modern machine learning techniques (e.g. Large Language Models and Deep Learning architectures for Explainable AI, Agentic AI, Neuro-symbolic AI and Reinforcement Learning) with connections to Natural Language Processing, who will represent this expertise in both research and teaching. The candidate should have proven expertise in the development of machine learning methods, and it is expected that he/she will contribute to collaborative projects. Active participation in the Heine Center for Artificial Intelligence and Data Science (HeiCAD) is desirable. Experience or --- for an initial appointment on W1 level --- a well-founded potential in acquiring competitive third-party funding and publications at leading conferences such as NeurIPS, ICML, ICLR, AAAI, EMNLP, ACL, and/or leading scientific journals is expected. Furthermore, excellent didactic skills are required. Teaching responsibilities include courses in computer science (Bachelor and Master in Computer Science, Master in Artificial Intelligence and Data Science), including regular participation in basic courses. In addition, active involvement in teaching offerings for other disciplines (e.g., within the framework of „KI für alle“) and participation in university self-administration are expected. For a direct appointment on W2 level a scientific performance equivalent to Habilitation, in particular high-level publications, success in acquiring third-party funding, and suitable experience in teaching in Computer Science or related programs is required. Heinrich Heine University upholds the principle of “excellence through diversity.” It has signed the “Diversity Charter” and successfully participated in the Stifterverband‘s “Shaping Diversity” audit. It is certified as a family-friendly university and has received the European Union‘s HR Excellence in Research Award. Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Legal Code (SGB – Soziales Gesetzbuch) are encouraged. At Heinrich Heine University Düsseldorf, appointments may also be part-time, provided there are no overriding administrative reasons in individual cases for requiring full-time employment. Heinrich Heine University Düsseldorf offers a Dual Career Support and is a member of the Rhineland Dual Career Network (Dual Career Netzwerk Rheinland). www.dualcareer-rheinland.de provides further information. For questions about the professorship, please contact Prof. Dr. P. Swoboda (paul.swoboda(a)hhu.de). For further assistance, contact berufungsportalmnf(a)hhu.de. Please submit your application in digital form with the usual documents (letter of motivation, curriculum vitae, details of all academic publications, tabular list and proof of competitively acquiredthird-party funding (including scholarships), copies of academic certificates, research concept (max. 2 pages), teaching concept (max. 2 pages), course catalogue) in the HHU appointment portal at https://berufungsportal.hhu.de and complete the requested information as fully as possible. Deadline for applications: 14.01.2026 Conditions for employment are, in addition to general administrative conditions in accordance with § 36 of the North Rhine-Westphalia University Act (Gesetz über die Hochschulen des Landes Nordrhein-Westfalen), an aptitude for teaching, exceptional competence in research, and additional scientific achievements. Female candidates are encouraged to apply; they will be given preference in cases of equal aptitude, ability, and professional achievements unless there are exceptional reasons for choosing another applicant. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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Corpora December 2025