- Corpora - ELRA lists

Workshop/Training Event Eyetracking Gaze Analysis
by Lars-Eric Christer Johansson 30 Mar '26

30 Mar '26

Bergen University is arranging a workshop/training event aimed at Eyetracking and Gaze Analysis. Registration is open. https://www.uib.no/en/lle/181518/workshop-tracking-eyes-and-mind May 4 to May 6. Invited lecturers: Andrew Duchowsk<http://andrewd.ces.clemson.edu/>i<https://andrewd.ces.clemson.edu/> Mauro Manassi<https://www.abdn.ac.uk/people/mauro.manassi> Agnieszka Konopka<https://www.abdn.ac.uk/people/agnieszka.konopka> Andrey Chetverikov<https://www4.uib.no/en/find-employees/andrey.chetverikov>

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CFP: The 4th Workshop Towards Knowledgable Foundation Models (KnowFM @ ACL 2026)
by Sara Vera Marjanovic 30 Mar '26

30 Mar '26

Hi colleagues, We invite submissions to the 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM), virtually co-located with ACL 2026. Foundation models have demonstrated remarkable capabilities in storing and utilizing knowledge acquired during pre-training. Yet as these models scale and are deployed in increasingly complex settings, critical challenges remain: How can we reliably assess what a model knows? How do we reconcile conflicting knowledge from parametric memory and retrieved context? How can we keep model knowledge up-to-date without compromising reasoning abilities? And how do we extend these capabilities beyond text to multimodal and agentic settings? This workshop brings together researchers working on different stages and aspects of the knowledge lifecycle, from structured and unstructured knowledge sources to knowledge acquired and synthesized by models themselves, to discuss how knowledge should be represented, acquired, verified, and applied in the era of foundation models. This includes knowledge emergence through pre-training, external knowledge injection, knowledge updating and editing, as well as probing and generation of knowledge. We welcome work on knowledge analysis in LMs, knowledge-enhanced training/inference, retrieval-augmented generation (RAG), model editing, truthfulness and faithfulness evaluation, hallucination mitigation and factual error correction. Location: San Diego, California Workshop date: July 3, 2026 Submission deadline: April 1, 2026 (AoE) We welcome two types of papers: regular workshop papers and non-archival submissions. Only regular workshop papers will be included in the workshop proceedings. Review process will be double-blind. All submissions should be in PDF format following the ACL template (8 pages for main text) and made through OpenReview submission portal Tentative speakers include Yoav Artzi, Sewon Min, Eunsol Choi, Mohit Iyyer, Danqi Chen, Yulia Tsvetkov, and Xin Luna Dong. More information is available at our website: https://knowledgeable-lm.github.io/

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CfP Tagung „Sprache & KI“
by Krieg-Holz, Ulrike 29 Mar '26

29 Mar '26

CfP Tagung „Sprache & KI“ 1.-3. Oktober 2026, Universität Klagenfurt Die rasante Entwicklung generativer KI-Systeme, insbesondere Large Language Models, hat die Produktion, Rezeption und Bewertung von Texten grundlegend verändert. KI-generierte Texte sind inzwischen fester Bestandteil alltäglicher, wissenschaftlicher, medialer, literarischer und institutioneller Kommunikationspraktiken. Daraus ergeben sich für die Linguistik sowie zunehmend auch die Literaturwissenschaft vielfältige neue Fragestellungen. Die Tagung „Sprache & KI“ widmet sich linguistischen und literaturwissenschaftlichen Perspektiven auf KI-generierte Texte und deren Analyse. Ziel ist es, aktuelle theoretische, methodische und empirische Ansätze zusammenzuführen und zur Diskussion zu stellen. Willkommen sind insbesondere Beiträge zu folgenden Themenfeldern: * Stil, Register und Variation in KI-Texten (z.B. Formalitätsgrade, Höflichkeit, Text-Stil-Transfer, Prompt Tuning, Stilkontrolle durch Parameter oder Instruktionen, multilingualer Stiltransfer, Kreativität) * Merkmale und Analyse KI-generierter Texte (z.B. textlinguistische, grammatische und pragmatische Eigenschaften, Fehlerprofile, Evaluationsverfahren: automatisierte Metriken vs. menschliche Beurteilung, methodologische Herausforderungen, korpuslinguistische Zugänge) * Produktion von KI-Texten: Prompting und LLMs (z.B. Verhältnis von menschlichem und maschinellem Schreiben, Literarizität von Prompts, Fragen von Autor- und Urheberschaft) * Literarizität und Ästhetik KI-generierter Texte (z.B. Stil, Kreativität und Wiederholung, Stochastik vs. Intentionalität, Potentiale einer „materialen Ästhetik“) * Einsatz von KI in linguistischer Forschung und Analyse (z.B. methodische Innovationen, KI-basierte Tools für Korpusanalyse und Annotation, Stilometrie, Sprachvergleich und Übersetzung, Perspektiven auf Anwendungsfelder wie literarische Genres und Storytelling, Marketing und Corporate Language oder Forensische Linguistik) Format * Vorträge (ca. 20 Minuten plus Diskussion) Einreichung & Kontakt Erbeten wird die Einreichung eines Abstracts im Umfang von 200–300 Wörtern (ohne Literaturangaben) und einer kurzen biobibliographischen Notiz. Das Abstract soll die Fragestellung, den theoretischen Rahmen bzw. die Methodik klar benennen und zentrale Thesen sowie gegebenenfalls Ergebnisse skizzieren. Willkommen sind sowohl theoretisch-konzeptionelle als auch empirische Beiträge. Bitte senden Sie Ihr Abstract als PDF an: sprache.ki(a)aau.at Termine * Abgabefrist für die Abstracts: 26. April 2026 * Benachrichtigung über Annahme: 16. Mai 2026 * Tagungstermin: 1.-3. Oktober 2026, Universität Klagenfurt * Abgabefrist für die Publikation: 1. Dezember 2026

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[CfP] 6th Workshop on Humanities-Centred AI and 3rd International Workshop on AI in Society, Education and Educational Research (CHAI+AISSER 2026), Joint Workshop
by Jens Dörpinghaus 29 Mar '26

29 Mar '26

Dear all, I would like to inform you about a call for papers for a joint workshop at the 49th German Conference on Artificial Intelligence, 11 - 14 August 2026: Bremen, Germany. See https://www.csmc.uni-hamburg.de/ki2026-chai for details. CHAI: Aim & scope Inferring ancient cultural traditions from written artifacts, AI offers many opportunities to assist humanities scholars in their work. Both editorial projects and computer-aided evaluations such as text and data mining or linguistic analyses require the collection, storage, and linking of data in order to quickly identify core information of the written artefacts. Time-consuming procedures, such as the creation of dictionaries or the use of bibliographies through the automatic linking of data, enables the creation of extensive data sets and generation of additional information. Thus, AI supports humanities scholars to focus them more on their core task. To ensure that the use of AI methods among humanities scholars is not merely theoretic, the applicability of algorithms in the environment of humanities scholars needs to be specifically examined or also intentionally developed humanities-centred. AISSER: Aim & scope This workshop has two distinct focuses, aiming to the field of AI in society and education more broadly. The first focuses on the technical aspects of applying AI methods in society and education. The second takes a more interdisciplinary approach, considering social and educational aspects of using AI in education. Technical Perspective: The use of AI-based systems to support teaching and learning has been developing for more than 4 decades, but its rise has increased markedly in recent years, due to the increased use of e-learning tools during the COVID-19 pandemic and the recent explosion of generative AI. We are at a key moment in the development of this field. Experts in AI and experts in education must collaborate to optimize the use of generative AI in teaching and learning processes. This workshop aims to provide a platform for presentating new proposals and reflecting on the current state in this field of such social relevance. In this first part, we are particularly interested in the technical aspects of generate AI applications. We will focus on specific techniques used for content creation (generative AI), student profiling (machine learning), learning analytics, and explainable AI methods for teachers’ dashboards. The aim is to provide a clear picture of the approaches used in education, and their particularities. Interdisciplinary Perspectives: the workshop is also dedicated to AI methods in and for education and educational research. This includes the study of educational and teaching generative AI applications, as well as the social sciences, economics, and humanities, including all subjects such as education and teaching in action, labor market research with a focus on educational needs, history of education and related cultural heritage of education. Other topics include informative predictions for decision-making and behavioral science perspectives. On the one hand, we focus on the connections between AI, education, and society. This includes quantitative and qualitative research, data science methods for analyzing educational and labor market data, AI approaches for recommender systems, and digital learning. On the other hand, we focus on how AI can be used to push the boundaries of the field. This includes developing new methods (including methods using AI), finding and making accessible new data sources, enriching data, and more. In both cases, it is essential that the different perspectives communicate and understand each other, which is also one of the goals of this workshop. More broadly, we are interested in the ways in which AI methods affect education, businesses, and labor markets. This includes examining how all sectors of education, from primary to tertiary, are affected by and respond to these methods. The design of digital futures with AI raises several questions for education: At the broadest level are legislative and normative questions; at the level of companies are questions about investment decisions and maintaining productivity and workforces; at the level of individuals are questions about qualifications and which skills need to be applied and possibly learned anew. Thus, skills and qualifications are at the heart of AI in education and educational research. Although digital methods and AI are emerging topics in thesefields, the scope of this workshop is not limited to these areas. It is also dedicated to reflecting on methods and results in the field of AI. We are particularly interested in interdisciplinary exchange and dissemination with a clear focus on AI methods. Call for Papers The workshop gathers AI researchers and interested humanities scholars. Topics of interest include, but are not limited to the following: AI for the interdisciplinary work of humanities scholars, AI for linking data from the humanities scholars, Digitized written artefact representation and description formats, AI methods for written artefact analysis, OCR for the humanities scholars, Human-aware agents supporting tasks of humanities scholars, AI techniques applied to education, Explainable AI, Application of generative AI in education, Multimodal learning analytics, AI techniques and models in analyzing the educational data, Intelligent tutoring systems, Intelligent learning/e-learning systems, Student profiling for personalized learning, AI-based apps and simulations, AI to support learners with disabilities, Automatic formative assessment, Dialogue-based tutoring systems, Exploratory learning environments, Classroom monitoring tools, Teacher focused apps, Automatic assessment systems. Submission: Submitted abstracts/papers must be 1 - 3 'standard' pages in length (abstract); be 5 - 9 'standard' pages in length (short papers); be 10 - 15 'standard' pages in length (regular papers); contain your research question(s), the methodological approach and your findings; be written in English; contain author names, affiliations, and email addresses; be formatted according to the CEUR-WS-Template (use the 1-column style): http://ceur-ws.org/Vol-XXX/CEURART.zip be submitted in PDF and the source file. Submission should be made through the EasyChair conference management system. The submission link is: https://openreview.net/group?id=KI/2026/Workshop/CHAI_AISSER_202

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Call for Track proposals - Forum for Information Retrieval Evaluation 2026 - fire.irsi.org.in
by Thomas Mandl 28 Mar '26

28 Mar '26

Dear Colleagues, Call for Evaluation and Benchmarking Track 2026 is out now. ---------------------------------------------------------------------------------------------------- We invite proposals for the Evaluation and Benchmarking Track at FIRE 2026. FIRE 2026 is the 18th edition of the annual meeting of Forum for Information Retrieval Evaluation (fire.irsi.org.in <https://fire.irsi.org.in>). Since its inception in 2008, FIRE had a strong focus on shared tasks similar to those offered at Evaluation forums like TREC, CLEF, and NTCIR. The shared tasks should focus on solving specific problems in the area of information access and, more importantly, on generating high quality evaluation datasets for the research community. In line with this objective, this year the FIRE tracks emphasize selecting tasks that either introduce a new paradigm in the field or generate a substantial amount of valuable benchmark data that can support future research and experimentation. It is not required for the tasks to focus on a specific language, and they can broadly cover any problem in the fields related (but not limited) to IR, NLP, multi-modal information access, and ML. However, the organizers especially encourage proposals for tracks related to South Asian, African, and Middle Eastern languages. In the past, FIRE has hosted tracks from Arabic, Persian, German, Russian, and Urdu languages besides several Indian languages. We aim to continue these efforts and include more language groups from these regions. For knowing more about tracks in past FIRE meetings, you can visit fire.irsi.org.in <https://fire.irsi.org.in> Informal inquiries can also be sent to the track chairs. Please include the following details in your proposal: 1. Track name 2. Track description 3. Use case/s 4. Target Audience and number of expected submissions 5. Data(*) (Fair Details) 6. Evaluation plan 7. Timeline: Please try to align with the FIRE conference dates as given below 8. Organizer/s Details 9. Prior experience in organizing shared task/workshop at relevant venues *Tentative Timeline* *5th April, 2026* Track proposals due *24th April, 2026* Track acceptance notification *15th May, 2026* Open track websites and release of training data *15th June, 2026* Test data release *30th June, 2026* Run submission deadline *15th July, 2026* Track results declaration *30th August, 2026* Working notes due *30th September, 2026* Camera-ready copies of working notes and overview paper due *December, 2026 - Dates TBD* FIRE 2026 Conference Please send these details in a pdf format to clia(a)isical.ac.in with a copy to majumdar.srijoni(a)gmail.com <mailto:majumbdar.srijoni@gmail.com>, kripa.ghosh(a)gmail.com and mandl(a)uni-hildesheim.de (*) We require that after FIRE, the data should be made publicly available through Information Retrieval Society of India. In case, data can not be distributed publicly (e.g., Twitter data), a unique identifier that can be used to recreate the original corpus can be provided (e.g., tweet ids in case of Twitter data). This disbursal will be governed by a copyright form, which the users have to sign before getting the data. A sample form is available at ( fire.irsi.org.in/fire/static/data <https://fire.irsi.org.in/fire/static/data> ). In case, it is not preferable/possible for the track organizers to share the data, please mention this in the proposal with specific concerns. Exceptions can be made for tracks where data from industry is used or in case of other serious legal or ethical concerns. The aim of organizing these tracks at FIRE is to have debates and discussions on focused topics and give feedback to participants. As a result, at least one of the track organizers from each track is expected to attend FIRE and present the overview of track in person. In case of non-attendance of any of the organizers, the team will not be allowed to offer a track next year. We will try to provide student volunteers for support in the proposed tracks. They will basically be undergraduate students interested in IR and related fields and can help with corpus creation, evaluation, correspondence with participants, etc. If you require any such support, kindly mention that in the track proposals along with the number of students required. Hoping to have an enthusiastic response from your end. *Overall Track Coordinators, FIRE 2026* Thomas Mandl (Universitat Hildesheim, Germany) Kripabandhu Ghosh (IISER Kolkata, India) Srijoni Majumdar (University of Leeds, UK)

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CFP: ESSLLI 2026 WS on Human Label Variation in Discourse and Pragmatic Phenomena
by stede＠uni-potsdam.de 28 Mar '26

28 Mar '26

ESSLI 2026 Workshop: Human Label Variation in Discourse and Pragmatic Phenomena Prague, August 10-14, 2026 Call for Papers Workshop description: Over the past 20 years, the NLP community has given steadily-increasing attention to the idea of regarding human annotation disagreement not as a nuisance but as a potential asset that can be exploited for understanding the respective task better. In practice, this means that multiple annotations are not just adjudicated or averaged (and the individual annotations then thrown away) but taken as a spectrum that constitutes a "complex ground truth", for instance in the form of probability distributions over labels attached to items. While some of the pioneering work on appreciating human label variation (HLV) came from research in discourse tasks such as anaphoric reference and discourse structure, the great majority of the recent work in the HLV community has concentrated on tasks in which variation arises from subjective differences, such as humour or offensive language detection, whereas the study of variation in pragmatics and discourse has seen relatively little progress. This is on the one hand surprising - pragmatics and discourse are highly prone to interesting variation in human judgement - but may well be an effect of the relative complexity of the annotation tasks, which make treatments of HLV difficult. In this workshop, we aim to bring together experts on HLV and on discourse phenomena, and to identify ways forward. We welcome contributions on the following topics, for example (the list is not meant to be exhaustive): • Discourse phenomena that can benefit from incorporating HLV • Technical approaches to handling HLV (ideally with an eye on discourse): ◦ Soft-label vs. perspectivist approaches ◦ Implementation of machine learning regimes that handle HLV ◦ Evaluation of both automatic and manual annotation in the face of HLV ◦ Underspecification in representation formalism • Case studies Submission guidelines: Abstracts should be at most two pages in 12pt font (plus up to two pages for references and appendix material). We primarily aim to promote participation and active discussion, and no proceedings will be published. Therefore, workshop submissions are not limited to unpublished work. We welcome proposals for both long (30 min. + discussion) and short (15 min. + discussion) presentations as well as poster presentations. Be sure to indicate your target type on the abstract. Subject to discussion at the end of the workshop, we envisage the possibility of a follow-up publication in the form of a journal special issue (with a new call for papers and reviewing process). Submission deadline: April 24, 2026. Submission is via email (see below) Workshop organizers: Massimo Poesio (Utrecht Univ. and Queen Mary University), Manfred Stede (Univ. of Potsdam) Workshop website: https://hlv-dp.github.io Contact (and submission) email: hlvdp(a)proton.me Important dates: Deadline for abstract submission: April 24, 2026 Notification of acceptance: May 8, 2026 Workshop dates: August 10-14, 2026 (one 90min slot per day)

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Third call for participation - MentalRiskES@IberLEF2026: Early detection of mental risk
by María Dolores Molina González 28 Mar '26

28 Mar '26

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

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6th Call for Papers – LaTeLL 2026 (Low-Resource Languages)
by ernesto.estevanell＠ua.es 27 Mar '26

27 Mar '26

International Conference 'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026) Fes, Morocco 30 September, 1 and 2 October 2026 www.latell.org/2026/ [1] 6th Call for Papers The conference Natural Language Processing (NLP) has witnessed remarkable progress in recent years, largely driven by the emergence of deep learning architectures and, more recently, large language models (LLMs). Nevertheless, these advances have disproportionately benefited high-resource languages that possess abundant data for model training. By contrast, low-resource languages which account for at least 85% of the world's linguistic diversity and are often spoken by smaller or marginalised communities, have not yet reaped the full benefits of contemporary NLP technologies. This imbalance can be attributed to several interrelated factors, including the scarcity of high-quality training data, limited computational and financial resources, and insufficient community engagement in data collection and model development. Developing NLP applications for low-resource languages poses major challenges, particularly the need for large, well-annotated datasets, standardised tools, and robust linguistic resources. Although several workshops have previously addressed NLP for low-resource languages, _LaTeLL_ represents the first international conference dedicated specifically to the automatic processing of such languages. The event aims to provide a forum for researchers to present and discuss their latest work in NLP in general, and in the development and evaluation of language models for low-resource languages in particular. Conference topics We invite submissions on a broad range of themes concerning linguistic and computational studies focusing on low-resource languages, including but not limited to the following topics: Language resources for low-resource languages * Dataset creation and annotation * Evaluation methodologies and benchmarks for low-resource settings * Lexical resources, corpora, and linguistic databases * Crowdsourcing and community-driven data collection * Tools and frameworks for low-resource language processing Core language technologies for low-resource languages * Language modelling and pre-training for low-resource languages * Speech recognition, text-to-speech, and spoken language understanding * Phonology, morphology, word segmentation, and tokenisation * Syntax: tagging, chunking, and parsing * Semantics: lexical and sentence-level representation NLP Applications for low-resource languages * Information extraction and named entity recognition * Question answering systems * Dialogue and interactive systems * Summarisation * Machine translation * Sentiment analysis, stylistic analysis, and argument mining * Content moderation * Information retrieval and text mining Multimodality and Grounding for low-resource languages * Vision and language for low-resource contexts * Speech and text multimodal systems * Low-resource sign language processing Ethics, Equity, and Social Impact for low-resource languages * Bias and fairness in low-resource language technologies * Sociolinguistic considerations in technology development * Cultural appropriateness and sensitivity Human-Centred Approaches in low-resource languages * Usability and accessibility of low-resource language technologies * Educational applications and language learning * Community needs assessment and technology adoption * User experience research in low-resource contexts Multilinguality and Cross-Lingual Methods for low-resource languages * Multilingual language models and their adaptation * Code-switching and code-mixing * Cross-lingual transfer learning in low-resource languages. Special Theme Track 1 -- Building Applications Based on Large Language Models for Low-Resource Languages _LaTeLL'2026_ will feature a Special Theme Track dedicated to the development of applications based on Large Language Models (LLMs) for low-resource languages. This track aims to explore innovative methodologies, architectures, and tools that leverage the power of LLMs to enhance linguistic processing, accessibility, and inclusivity for underrepresented languages. Contributions are encouraged on topics such as model adaptation and fine-tuning, multilingual and cross-lingual transfer, ethical and fairness considerations, and the creation of datasets and benchmarks that facilitate the integration of LLM-based solutions in low-resource settings. Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic Dialects This special track addresses the unique challenges and opportunities in processing Modern Standard Arabic (MSA) and the rich landscape of Arabic dialects. The diglossic nature of Arabic, where the formal MSA coexists with numerous, widely used spoken dialects, presents a significant hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects are quintessential examples of low-resource languages, often lacking standardised orthographies, annotated corpora, and dedicated processing tools. This track invites submissions on novel research and resources aimed at bridging this gap and advancing the state of the art in Arabic language technology. Topics of interest include, but are not limited to: * Dialect identification and classification * Creation of corpora and lexical resources for Arabic dialects * Machine translation between MSA and dialects, and across different dialects * Speech recognition and synthesis for dialectal Arabic * Computational modelling of morphology, syntax, and semantics for dialects * NLP applications (e.g., sentiment analysis, NER) for dialectal user-generated content * Code-switching between Arabic dialects, MSA, and other languages Submissions and Publication _LaTeLL'2026_ welcomes high-quality submissions in English, which may take one of the following two forms: * Regular (long) papers:Up to eight (8) pages in length, presenting substantial, original, completed, and unpublished research. * Short (poster) papers:Up to four (4) pages in length, suitable for concise or focused contributions, ongoing research, negative results, system demonstrations, and similar work. Short papers will be presented during a dedicated poster session. The conference will not consider submissions consisting of abstracts only. All accepted papers (both long and short) will be published as electronic proceedings (with ISBN) and made available on the conference website at the time of the event. The organisers intend to submit the proceedings for inclusion in the ACL Anthology. To prepare your submission, please make sure to use the LaTeLL'2026 style files available here: LaTeX: https://drive.google.com/file/d/1RceWyUqjFLEbv_oNto-x2Quop7qT4-wf/view?usp=… Word: https://docs.google.com/document/d/1m6VeC9jtMpe-Ku2QREgrPlE2-NTDvJvZ/edit?u… Overleaf: https://www.overleaf.com/read/ttzzfcnjrgvw#e82bef [2] Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/latell2026 Authors of papers receiving exceptionally positive reviews will be invited to prepare extended and substantially revised versions for submission to a leading journal in the field of Natural Language Processing (NLP). The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates * Submissions due: 1 May 2026 * Reviewing process: 20 May - 20 June 2026 * Notification of acceptance: 25 June 2026 * Camera-ready due: 10 July 2026 * Conference camera-ready proceedings ready 10 July 2026 * Conference: 30 September, 1 October and 2 October 2026 Keynote speaker Nizar Habash (New York University Abu Dhabi) Organisation Conference Chair Ruslan Mitkov (Lancaster University and University of Alicante) Programme Committee Chairs Saad Ezzini (King Fahd University of Petroleum & Minerals) Salima Lamsiyah (University of Luxembourg) Tharindu Ranasinghe (Lancaster University) Organising Committee Maram Alharbi (Lancaster University) Salmane Chafik (Mohammed VI Polytechnic University) Ernesto Estevanell (University of Alicante) Milica Ikonić Nešić (University of Belgrade) Further information and contact details The follow-up calls will provide more details on the conference venue and registration.The conference website is www.latell.org/2026/ [1] and will be updated on a regular basis. For further information, please email 2026(a)latell.org Registration will open in April 2026. Links: ------ [1] http://www.latell.org/2026/ [2] https://www.overleaf.com/latex/templates/latell-26-template/kfcvbgxmccvb

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Researcher position (Full-Time) in the area of AI in Education
by Antje Schweitzer 27 Mar '26

27 Mar '26

Dear all, I would like to draw your attention to the position announced below. We are searching someone with a degree in natural language processing, computational linguistics, digital humanities, data science, software development, or a related field. The position is funded until the end of 2027. The position requires at least good German language skills, ideally better. We are looking forward to applications! Best regards, Antje Schweitzer -- Dr. Antje Schweitzer IMS Uni Stuttgart 0711-685 81376 https://www.ims.uni-stuttgart.de/~schweitz Researcher position (Full-Time) in the area of AI in Education Researcher (m/f/d, E 13 TV-L, 100%) Project MEKI, Topic: AI in Education from now until Dec 31, 2027 University of Stuttgart Institute of Natural Language Processing Principal Investigators: Prof. Dr. Thang Vu, https://www.ims.uni-stuttgart.de/en/institute/team/Vu-00002/, and Dr. Antje Schweitzer, https://www.ims.uni-stuttgart.de/en/institute/team/Schweitzer/ According to current projections, Germany will face a shortage of 7 million workers by 2035. This dramatic shortage of skilled workers is aggravated by the fact that an increasing number of young adults do not have a vocational qualification. In addition, up to 28% of apprentices drop out of their training programs early. We want to change this! The MEKI project (“Mehr erreichen mit KI”), is developing an AI-powered (open-source) educational software designed primarily to help struggling students in vocational schools to successfully complete their training. The project focuses on industrial and commercial fields, but is developing concepts that can be applied to other areas. The project is funded by the German Federal Ministry for Education, Family Affairs, Senior Citizens, Women and Youth within the InnoVET PLUS program. To realise this goal, we are working with four partners (two Chambers of Commerce and Industry (IHKs) as well as the Technical University of Munich (TUM) and the Ludwig-Maximilians-Universität in Munich (LMU)). The IHKs and LMU are primarily responsible for identifying the requirements and for scientific evaluation; the software is being developed jointly by TUM and our group, with our main focus being on the AI features. The project currently has an opening for a full-time position (m/f/d, E 13 TV-L, 100%) through to the end of the project term at the end of December 2027. Part-time employment (for the same duration) can also be negotiated. We are looking for a motivated colleague who is interested in getting involved in vocational education and tackling a social issue using AI methods. The use of AI in education opens up innovative possibilities such as personalized and multimodal learning, or gamification to boost motivation. Desired Profile: • Very good knowledge of written and spoken German • Excellent communication skills and teamwork • Diligence and analytical thinking • A degree in natural language processing, computational linguistics, digital humanities, data science, software development, or a related field • Extensive experience using LLM agents • Strong programming skills, particularly in Python • Experience in multimodal generation • Experience with deep learning is a plus, but not required • Experience with Git • Experience in front-end development, e.g., React/TypeScript is a plus Responsibilities: • Design and implementation of new AI-based software features, particularly in the area of multimodal learning • Participation in the ongoing evaluation of the software’s AI features • Joint testing of the software as part of user studies with project partners • Documentation and publication of project results • Active collaboration with network partners and active participation in internal network meetings What we offer: • A diverse, dedicated team and a pleasant work environment with excellent research facilities in an international and interdisciplinary setting • Cutting-edge topics with societal relevance in the field of education • Opportunities for collaboration and contact with other interdisciplinary projects in the fields of deep learning and setting at the Institute of Natural Language Processing • Support from student assistants Application Process Please submit a PDF file containing: • a brief motivation letter outlining your fit to the project, • your resume, • your degree certificate including grades Applications should be sent to: Antje Schweitzer, antje.schweitzer(a)ims.uni-stuttgart.de <mailto:antje.schweitzer@ims.uni-stuttgart.de> Applications received before 11th April 2026 will be given full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening later. The University of Stuttgart stands for diversity and equal opportunities, as well as for the compatibility of work and family life. Women applicants with the same qualifications, skills, and professional achievements will be given preference in areas where women are underrepresented. Applicants with disabilities with the same qualifications will be given priority. We expressly welcome applications from people of other nationalities or with a migration background. Further information The University of Stuttgart is a technically oriented university. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally. As part of this department, IMS aims at bridging the gap between foundational research into language and the development of technologies for society. With 6 professors, over 50 scientists and 200 students in the study programs B.Sc. and M.Sc. Computational Linguistics, IMS is one of the largest hubs of computational linguistics in Germany and Europe. The city of Stuttgart is known for its strong economy and diverse cultural scene, all within a manageable size. Its location amidst numerous hills and vineyards is also worth seeing. Stuttgart is a lively city with a vibrant bar and club scene and an extensive public transportation network. By train, Stuttgart is well connected to many other interesting destinations, such as Munich and Cologne (about 2 hours), Paris (about 3.5 hours), Berlin (about 5.5 hours), Strasbourg (1 hour), and Lake Constance (2 hours). InnoVET PLUS program https://www.inno-vet.de/innovet/de/innovet_plus/innovet-plus_node.html MEKI project description from website of project partner IHK Reutlingen https://www.reutlingen.ihk.de/ausbildung/azubis-hier-lang/digitale-lernange… Institute of Natural Language processing https://www.ims.uni-stuttgart.de <https://www.ims.uni-stuttgart.de/> Digital Phonetics group https://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/dp/

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2nd CFP - Atelier TAL@Santé @ CORIA-TALN 2026
by Aman Sinha 27 Mar '26

27 Mar '26

* Atelier TAL@Santé 2026 * @ CORIA-TALN 2026 -- 29 juin 2026, Nantes Site Internet : [ https://atelier-tal-sante.github.io/ | https://atelier-tal-sante.github.io/ ] APPEL A COMMUNICATION Dans le cadre des conférences conjointes CORIA-TALN 2026, l'atelier TAL@Santé 2026 vise à fédérer la communauté francophone du Traitement Automatique des Langues (TAL) appliqué à la santé. Il ambitionne de croiser outils, méthodes, ressources, retours d’expérience et perspectives autour des textes cliniques et biomédicaux. DATES IMPORTANTES * Soumission des articles : 29 avril 2026 * Notification aux auteurs : 13 mai 2026 * Version finale : 21 mai 2026 * Atelier : 29 juin 2026, de 9h00 à 17h30 TYPES ET FORMAT DES SOUMISSIONS Les types d’articles acceptés sont : * Articles résumés (3 pages max + références) : - Travaux préliminaires en cours - Description d'un projet de recherche - Traduction d’un article récemment accepté (ou en cours de soumission) dans une conférence internationale * Articles classiques (entre 6 et 10 pages + références) : - Contribution nouvelle - Etat de l’art - Résultat négatif apportant une perspective nouvelle à un problème scientifique - Prise de position présentant un point de vue sur l’état des recherches en TAL et santé Les articles acceptés seront présentés au cours de la journée sous la forme d’une présentation orale ou d’un poster. Ils seront également publiés dans les actes de la conférence CORIA-TALN 2026. La langue officielle de la conférence est le français. Si tous les auteurs sont francophones, les articles doivent être rédigés en français. Si l’un des auteurs n’est pas francophone, les articles peuvent être rédigés en anglais. Site de soumission : [ https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante | https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante ] THEMATIQUES DE L’ATELIER Les sujets d’intérêt incluent, mais ne sont pas limités à : - Extraction d’entités, de relations et d’événements complexes - Extraction d’information et classification de textes cliniques ou biomédicaux - Accessibilité : simplification de textes médicaux, littératie en santé, communication patient–soignant - Mésinformation et qualité de l’information en santé - Détection et atténuation des biais - Enjeux éthiques du TAL pour la santé - Approches frugales - Cadres d’évaluation, reproductibilité et métriques orientées vers l’usage - Approches génératives : factualité, traçabilité (RAG, citations, vérification), détection d’hallucinations - Schémas d’annotation et méthodologies de construction de ressources annotées - Annotation assistée par LLM - Création de modèles de langue spécialisés, adaptation de domaine, apprentissage par transfert, apprentissage fédéré, apprentissage faiblement supervisé - Analyse automatique de la littérature scientifique pour la santé CONTACT : atelier-tal-sante(a)univ-nantes.fr ORGANISATEURS Richard Dufour (LS2N, Nantes Université) Yanis Labrak (IDIAP) Emmanuel Morin (LS2N, Nantes Université) Aurélie Névéol (LISN, Université Paris-Saclay) Aman Sinha (ATILF, Université de Lorraine) Laura Zanella (Doctolib) Pierre Zweigenbaum (LISN, Université Paris-Saclay)

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2026

2025

2024

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2022