February 2026 - Corpora

[LREC2026 Tutorial] Low-Resource, High-Impact: Building Corpora for Inclusive Language Technologies
by Daryna Dementieva 12 Feb '26

12 Feb '26

Dear colleagues, Do you care about improving language technologies beyond mainstream languages? Do you wonder how to collect data for low-resource languages? Or how to create the first translation system? And then adapt efficiently to various downstream tasks? We are pleased to announce an upcoming LREC2026 tutorial “Low-Resource, High-Impact: Building Corpora for Inclusive Language Technologies.” This tutorial is aimed at NLP practitioners, researchers, and developers working with multilingual and low-resource languages who are interested in building more equitable, inclusive, and socially impactful language technologies. **Tutorial overview** The tutorial covers the full lifecycle of NLP technologies development for a language, including: * Data collection and corpus creation (e.g., web crawling and annotation) * Parallel sentence mining and machine translation * Downstream applications such as text classification and multimodal reasoning * Strategies for addressing data scarcity, cultural variance, and reproducibility * Fair and community-informed development practices **Who should attend** * Researchers and practitioners in NLP and multilingual technologies * Corpus builders and linguists working on underrepresented languages * Developers interested in low-resource or inclusive NLP * Students and early-career researchers **Scope and highlights** * Case studies spanning 10+ languages from diverse language families and geopolitical contexts * Coverage of both digitally resource-rich and severely underrepresented languages * Emphasis on hands-on methods and applied modeling frameworks **Save the date and place**: Saturday, 16 May 2026, morning session, Room 6 More information: https://tum-nlp.github.io/low-resource-tutorial/ Stay tuned for our website – we will fully open-source the tutorial materials! Additionally, we would like to have an overview of overall practices and challenges researchers facing working with non-mainstream languages. If you are such a researcher, you are working on a very surprising language, or just have experience to share about the topic, please, fill in this form to participate in the interview: https://forms.gle/L81hpvZGfemyMjtX7 **Organisers**: Ekaterina (Katya) Artemova, Toloka.ai Laurie Burchell, Common Crawl Foundation Daryna Dementieva, Technical University of Munich Shu Okabe, Technical University of Munich Mariya Shmatova, Toloka.ai Pedro Ortiz Suarez, Common Crawl Foundation See you at LREC! Best regards, Daryna Dementieva On behalf of Tutorial Organisers

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Edge Hill Corpus Research Group: Meeting #20
by Costas Gabrielatos 12 Feb '26

12 Feb '26

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 6 March 2026, 10:00-11:30 am (GMT<https://time.is/United_Kingdom>). Topic: LLMs, Corpus Linguistics, and Language Learning Speaker: Peter Crosthwaite<https://languages-cultures.uq.edu.au/profile/2845/peter-crosthwaite> (University of Queensland, Australia) Title: Corpora, Prompts, and Pedagogy: Human-AI Text Comparison in Applied Linguistics The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next Attendance is free. Registration closes on Wednesday 4 March. If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Postdoc position: AI in vocational training/education
by Antje Schweitzer 12 Feb '26

12 Feb '26

Dear all, I would like to draw your attention to the position announced below. We are searching for a postdoc or an advanced PhD student whose research interests align with the goals of the project. The position is funded until the end of 2027. Since the position requires very good German language proficiency, the details below are posted in German. Best regards, Antje Schweitzer -- Dr. Antje Schweitzer IMS Uni Stuttgart 0711-685 81376 https://www.ims.uni-stuttgart.de/~schweitz Stellenausschreibung PostDoc-Stelle (m/w/d, E 13 TV-L, 100%) im Projekt MEKI Bereich KI in der Berufsbildung 1. Mai 2026 bis 31. Dezember 2027 Universität Stuttgart Institut für Maschinelle Sprachverarbeitung Arbeitsgruppe Digitale Phonetik, Prof. Dr. Thang Vu, https://www.ims.uni-stuttgart.de/en/institute/team/Vu-00002/ In Deutschland werden laut aktuellen Prognosen bis zum Jahr 2035 ganze 7 Millionen Arbeitskräfte fehlen. Dieser dramatische Fachkräftemangel wird davon verstärkt, dass immer mehr junge Erwachsene keinen Berufsabschluss haben. Außerdem brechen bis zu 28% der Auszubildenden ihre Ausbildung vorzeitig ab. Dies wollen wir ändern! Im Projekt MEKI (Mehr erreichen mit KI) entwickeln wir eine KI-unterstützte (open source) Lernsoftware, die vor allem schwächeren Auszubildenden in der Berufsschule helfen soll, ihre Ausbildung erfolgreich zu beenden. Das Projekt konzentriert sich auf den gewerblich-technischen Bereich, entwickelt aber Konzepte, die auf andere Bereiche übertragen werden können. Es wird vom BMBSFJ im Rahmen der InnoVET PLUS-Förderrichtlinie gefördert. Wir arbeiten in MEKI mit vier Verbundpartnern (zwei Industrie- und Handelskammern (IHKs) sowie der TU München und der LMU München) zusammen. Die IHKs sowie die LMU sind vor allem für die Ermittlung der Bedarfe zuständig; die Software wird von der TU und uns gemeinsam entwickelt, wobei unsere Hauptzuständigkeit die KI-Features sind. Im Projekt ist zum nächstmöglichen Zeitpunkt, möglichst ab Mai 2026, bis zum Ende der Projektlaufzeit im Dezember 2027, eine PostDoc-Stelle (m/w/d, E 13 TV-L, 100%) zu besetzen. Nach Absprache ist auch eine Beschäftigung in Teilzeit (bei gleicher Laufzeit) denkbar. Wir suchen eine*n motivierte*n Kolleg*in, die*der Lust hat, sich außerhalb der akademischen Bildung zu engagieren und ein gesellschaftliches Problem mithilfe von KI-Methoden anzugehen. Der Einsatz von KI in der Bildung eröffnet innovative Möglichkeiten wie individualisiertes und multimodales Lernen oder Gamification zur Motivationssteigerung. Gewünschtes Profil: • sehr gute Deutschkenntnisse in Wort und Schrift • Lust auf Teamarbeit • sehr gute Kommunikationsfähigkeit • Gewissenhaftigkeit und analytisches Denken • eine hervorragende Promotion (Summa oder Magna cum laude) im Bereich Maschinelle Sprachverarbeitung, Computational Linguistics, Digital Humanities, Data Science, Softwareentwicklung oder in einem vergleichbaren Bereich • umfassende Erfahrung mit dem Einsatz von LLMs im Rahmen der Promotion • sehr gute Programmierkenntnisse, insbesondere in Python • Erfahrung im Bereich multimodale Generierung • Erfahrung mit Deep Learning ist ein Plus, aber nicht unbedingt notwendig • Erfahrung mit Git • Erfahrung in Frontend-Entwicklung, z.B. React/Typescript Aufgaben im Projekt: • Konzeption und Implementierung neuer KI-basierter Software-Features insbesondere im Bereich multimodales Lernen • Beteiligung an der projektbegleitenden Evaluierung von KI-Features der Software • Gemeinsames Testen der Software im Rahmen von Nutzungsstudien mit Projektpartnern • Dokumentation und Veröffentlichung von Projektergebnissen • Aktive Zusammenarbeit mit den Verbundpartnern sowie aktive Teilnahme an verbundinternen Treffen • Entwicklung neuer Ideen zum Einsatz von KI in der Bildung für zukünftige Projekte Das bieten wir: • Ein diverses, engagiertes Team und angenehme Arbeitsatmosphäre mit exzellenter Forschungsumgebung in internationalem und interdisziplinärem Umfeld am Institut für Maschinelle Sprachverarbeitung der Universität Stuttgart • Moderne Themen mit gesellschaftlicher Relevanz im Bereich Bildung • Kooperationsmöglichkeiten und Kontakt zu anderen interdisziplinären Projekten im Bereich Deep Learning und LLMs am Institut für Maschinelle Sprachverarbeitung • Unterstützung durch studentische Hilfskräfte • Weiterbildungsmöglichkeiten im Bereich Lehre Bewerbungsverfahren Wir bitten um eine PDF-Datei mit: • einem kurzen Motivationsschreiben, in dem die Forschungsinteressen dargelegt sind, • dem Lebenslauf mit Publikationsliste, • den Kontaktdaten von ein bis zwei Referenzpersonen. Die Universität Stuttgart steht für gelebte Vielfalt und Chancengerechtigkeit sowie für die Vereinbarkeit von Beruf und Familie. Bewerberinnen werden bei gleicher Eignung, Befähigung und fachlicher Leistung in Bereichen, in denen Frauen unterrepräsentiert sind, bevorzugt berücksichtigt. Schwerbehinderte Bewerber*innen werden bei gleicher Qualifikation vorrangig eingestellt. Bewerbungen von Menschen anderer Nationalitäten oder mit Migrationsgeschichte begrüßen wir ausdrücklich. Bewerbungen sind zu richten an: Antje Schweitzer, <mailto:antje.schweitzer@ims.uni-stuttgart.de> Bewerbungen, die bis zum 28. Februar 2026 eingehen, werden vollständig berücksichtigt. Die Stelle bleibt bis zur Besetzung offen. Informationen zur Umgebung Die Universität Stuttgart ist eine technisch orientierte Universität. Sie ist besonders für Ingenieurwissenschaften und verwandte Themen bekannt, wobei ihre Informatikabteilung sowohl national als auch international einen hohen Stellenwert einnimmt. Das Institut für Maschinelle Sprachverarbeitung (IMS), das zur Fakultät für Informatik und Elektrotechnik gehört, ist eines der größten akademischen Forschungsinstitute für natürliche Sprachverarbeitung in Deutschland. Es schlägt die Brücke zwischen der Grundlagenforschung zu Sprache und der Entwicklung von Technologien für die Gesellschaft. Mit 6 Professuren, über 50 Wissenschaftler*innen und 200 Studierenden in den Studiengängen B.Sc. und M.Sc. Computational Linguistics gehört das IMS zu den größten Standorten der Computerlinguistik in Deutschland und Europa. Stuttgart ist bekannt für seine starke Wirtschaft und abwechslungsreiche Kulturszene bei überschaubarer Größe. Sehenswert ist auch die Lage inmitten einer Vielzahl von Hügeln und Weinbergen. Stuttgart ist eine lebhafte Stadt mit einer aktiven Bar- und Clubszene und einem gut ausgebauten öffentlichen Nahverkehr. Mit dem Zug ist Stuttgart gut an viele andere interessante Orte angebunden, zum Beispiel München und Köln (~2 Stunden), Paris (~3,5 Stunden), Berlin (~5,5 Stunden), Straßburg (1 Stunde) oder den Bodensee (2 Stunden). Förderprogramm des BMBFSFJ: https://www.inno-vet.de/innovet/de/innovet_plus/innovet-plus_node.html Projektbeschreibung beim Verbundkoordinator IHK Reutlingen: https://www.reutlingen.ihk.de/ausbildung/azubis-hier-lang/digitale-lernange… Institut für Maschinelle Sprachverarbeitung: https://www.ims.uni-stuttgart.de Digitale Phonetik https://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/dp/

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Workshop Proposals
by Announce 12 Feb '26

12 Feb '26

*** First Call for Workshop Proposals *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ Objectives ISSRE strives to be the conference that appeals to both researchers and practitioners. To that end, we invite proposals for workshops to co-locate with the Symposium and provide additional opportunities for collaborating and exchanging information. The workshops aim at discussing research developments and challenges at an early stage. ISSRE welcomes workshops that explore new ways to provide and assess software reliability, safety, and security. We also seek workshops that deal with the provision of reliable, safe, and secure software and systems in fast-growing, transformative application domains. Appropriately defined workshop proposals have the following characteristics: • They offer researchers a forum to exchange and discuss scientific and engineering ideas at an early stage before maturation that would warrant conference or journal publication. • They attract practitioners and researchers to working sessions to discuss and make progress toward solutions to current and future problems in engineering high assurance software and systems. • They focus on collaborative discussions and information sharing between researchers and industry practitioners. Recurring Workshops Workshops affiliated with ISSRE in previous years with good organization and numbers of participants are pre-approved. Their organizers do not need to submit a new workshop proposal. Their organizers are kindly asked to inform the workshop chairs about returning the workshop to ISSRE in 2026. Topics of Interest Topics of interest include development, analysis methods and models throughout the software development lifecycle, and are not limited to: • Primary dependability attributes (i.e., security, safety, maintainability) impacting software reliability • Secondary dependability attributes (i.e., survivability, resilience, robustness) impacting software reliability • Reliability threats, i.e. faults (defects, bugs, etc.), errors, failures • Reliability means (fault prevention, fault removal, fault tolerance, fault forecasting) • Machine Learning and AI-based approaches for enhancing reliability of systems • Reliability, threads and biases of AI-based software systems, in particular Large Language Models • Data-related reliability and vulnerability issues and risks • Learning-based models of software systems, threads, and reliability estimates • Automated debugging and program repair • Metrics, measurements and threat estimation for reliability prediction and the interplay with safety/security • Reliability of software services • Reliability of open source software • Reliability in networks softwarization • Reliability of Software as a Service (SaaS) • Reliability of software dealing with Big Data • Reliability of model-based and auto-generated software • Reliability of software in artificial intelligence based software systems • Reliability of software within specific types of systems (e.g., autonomous and adaptive, green and sustainable, mobile systems) • Reliability of software within specific technological spaces (e.g., Internet of Things, Cloud, 5G/6G, edge-to-cloud computing, Semantic Web/Web 3.0, Virtualization, Blockchain) • Normative/regulatory/ethical spaces pertaining to software reliability • Societal aspects of software reliability Proposal Submissions Workshop proposals should include information about the proposed organizing committee and address the following questions: • Workshop length: Half day or one full day • Workshop style: papers, panels, posters, workgroups • Outline of themes and goals of the workshop • How will you solicit participation (call for workshop papers, invitation only, etc.) • Desired/estimated number of participants • Organizing committee members and their past experience Submissions need to be performed via Easy Chair, selecting the appropriate track for workshop proposals. The submission link is: https://easychair.org/conferences?conf=issre2026 . Proposal Evaluation Workshop proposals will be evaluated by the ISSRE 2026 Organizing Committee. The criteria include the alignment with the ISSRE charter, relevance to the larger ISSRE community, and the strength and experience of the organizing team. Logistics The conference will be “in presence” with all presenters of accepted papers expected to attend the conference physically in Limassol, Cyprus. Important Dates (AoE) • Workshop proposal deadline: May 14, 2026 • Workshop proposal notification: May 21, 2026 • Workshop paper submission deadline: July 20, 2026 (NOTE: This date is only indicative – please refer to individual workshop webpages for information about deadlines) • Workshop paper notification to authors: August 10, 2026 • Camera ready papers: August 17, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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LT4HALA 2026 -- deadline extension
by Sprugnoli Rachele (rachele.sprugnoli) 12 Feb '26

12 Feb '26

LT4HALA 2026 -- deadline extension -- The Fourth Workshop on Language Technologies for Historical and Ancient Languages @ LREC 2026 The Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) will be held on Monday, May 11 in Palma, Mallorca (Spain), co-located with LREC 2026. This one-day workshop seeks to bring together scholars, who are developing and/or are using Language Technologies (LTs) for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. historians, philologists, linguists, archaeologists and literary scholars. * Submission deadline: 17th February 2026 **NEW DEADLINE: 23rd February 2026** Website: https://circse.github.io/LT4HALA/2026/ Submission page: https://softconf.com/lrec2026/LT4HALA2026/ [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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DEADLINE APPROACHING - ACM ICMI 2026: Call for Special Sessions
by Gualtiero Volpe 12 Feb '26

12 Feb '26

!!! DEADLINE APPROACHING !!! ICMI 2026 CALL FOR SPECIAL SESSIONS ============================================ 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ ============================================ The ICMI 2026 organizing committee invites proposals for Special Sessions to be held during the 28th International Conference on Multimodal Interaction (ICMI 2026) in Naples, Italy. ICMI is the premier international forum that brings together multimodal artificial intelligence (AI) and social interaction research. Multimodal AI encompasses technical challenges in machine learning and computational modeling, such as representations, fusion, data, and systems. * Important Dates Special Session Proposal Submission Deadline February 18th, 2026 Notification of Acceptance February 27th, 2026 * Special Session Proposals Special sessions provide an opportunity to explore emerging topics within multimodal interaction and are a key part of this year’s conference program. We are seeking proposals that will enhance the conference’s diversity and offer valuable insights into the conference theme of “Context and Cultural Awareness for Multimodal Interaction”. Prospective special session organizers are invited to submit proposals via icmi2026-specialsessions-chairs(a)acm.org. Special Session Proposals should include the following information: - Title: A title that shows the relevance of the session for the ICMI community and the novelty of the chosen topic. - Aims and scope: Explain why the chosen topic is novel and relevant, with the potential to contribute to the growth of the ICMI community and/or is aligned with this year’s conference theme. - Tentative speakers: A list of prospective contributing authors with tentative titles for their contributions. Special Sessions are normally expected to have 4 to 6 papers. While there is some flexibility for invited keynote and industry talks, the majority of the special session should consist of peer-reviewed papers. - Organizers and bios: A short bio of the session organizers including their experience in the topic of the Special Session. The primary criteria in evaluating the special session will include the relevance of the topic, the quality and track record of the proposers and speakers, diversity, the coherence of the proposal, and the expected value it will bring to the conference. We prioritize proposals that meet these criteria and welcome submissions from underrepresented communities. The organizers of accepted special sessions will actively participate in the high-quality peer review process for submitted papers, following ICMI standards for the main track papers. They will serve as Area Chairs (ACs) for their proposed sessions, being responsible for tasks such as assigning reviewers and facilitating discussion phases. Papers submitted to an accepted Special Session will follow the same review process as the main conference track papers, including the same submission system (PCS), formatting guidelines (short or long papers), notification dates, and a rigorous peer review process. For any questions and further information about the Special Sessions, please email icmi2026-specialsessions-chairs(a)acm.org or check https://icmi.acm.org/2026/special-sessions/.

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CoNLL 2026: 3rd and Final Call for Papers
by claire.n.bonial.civ＠army.mil 11 Feb '26

11 Feb '26

CoNLL 2026: 3rd & Final Call for Papers San Diego, California, United States, July 3-4, 2026 (co-located with ACL) https://www.conll.org/ CoNLL 2026 will include online presentations for authors who will not be able to attend the conference in person due to visa related issues. NEW: We are pleased to announce that CoNLL 2026 keynote speakers will be Adele Goldberg (Princeton) and Michael C. Frank (Stanford)! SIGNLL invites submissions to the 30th Conference on Computational Natural Language Learning (CoNLL 2026). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics and NLP. We welcome work targeting any aspect of language and its computational modeling, including: Computational Psycholinguistics, Cognition and Linguistics Computational Usage-Based Grammars (e.g., Construction Grammars) Computational Social Science and Sociolinguistics Interaction and Dialogue Language Acquisition, Learning, Emergence, and Evolution Multimodality and Grounding Typology and Multilinguality Speech and Phonology Syntax and Morphology Lexical, Compositional and Discourse Semantics Theoretical Analysis and Interpretation of ML Models for NLP Resources and Tools for Scientifically Motivated Research Language and the Brain We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submissions may be rejected prior to review if they fail to meet this relevance criteria. Submissions CoNLL will accept only direct submissions this year. Submission will be via OpenReview. An OpenReview profile is required for all authors. We accept two types of submission: archival, and non-archival. Archival submissions must be anonymous and use the same template as the ACL 2026. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed. Please refer to the ACL website for more details on the submission format. Note that, unlike ACL, we do not mandate that papers have a discussion section of the limitations of the work. However, we strongly encourage authors to have such a section. Non-archival submissions are not anonymous. We will accept submissions that fit into CoNLL’s scope (see above for a description) and have been published in 2024, 2025, and 2026 in relevant conferences (*ACL, COLING, NeurIPS, ICLR, CogSci, …) and journals (TACL, Computational Linguistics, other journals in the areas of interest for CoNLL). Multiple submission policy: CoNLL 2026 follows the ACL 2026 policy, which follows the ARR policy: CoNLL “precludes multiple submissions […] will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the […] review period. This policy covers all journals and refereed and archival conferences and workshops […] In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere.” Authors submitting more than one paper to CoNLL 2026 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. Submission of pre-prints to arXiv and other platforms: we again follow the same policy as ARR: “[archival] submissions will remain anonymous during peer review, but authors are free to post and discuss non-anonymous preprints at any time.” **NEW** Human Subjects & IRB requirements: CoNLL 2026 requires that papers reporting on new human subjects data (collected in a lab or online) include details (in the main paper or in an appendix) on (1) how the data was obtained (2) how participants were recruited and paid (3) how consent was obtained (4) whether an IRB protocol was approved for this study. Note that providing this information is obligatory. Also please be aware of OpenReview's moderation policy for newly created profiles. We advise you to create a profile well in advance: New profiles created without an institutional email will go through a moderation process that can take up to two weeks. New profiles created with an institutional email will be activated automatically. Timeline (All deadlines are 11:59pm UTC-12h, AoE) Submission deadline (archival and non-archival): February 19 2026 Notification of acceptance: April 21 2026 Camera-ready papers due: May 12 2026 Conference: July 3-4, 2026 CoNLL 2026 Co-Chairs Claire Bonial, Georgetown University Yevgeni Berzak, Technion Publication Chairs Katrien Beuls, Université de Namur Paul Van Eecke, Vrije Universiteit Brussel Publicity Chair Harish Tayyar Madabushi, University of Bath Contact Questions? E-mail conll.chairs(a)gmail.com

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Fully funded doctoral fellowship in multilingual LLM development at University of Oslo
by Stephan Oepen 11 Feb '26

11 Feb '26

To whom it may concern (with apologies for cross-posting): The Language Technology Group (LTG) at the University of Oslo has a vacancy for a fully-funded doctoral fellowship for three years. The position will have its thematic focus on LLM development for “smaller” languages and the interplay of (model-based) data selection and fine-grained evaluation. Please see the job announcement for additional details: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-i… LTG is a happy and productive research environment of close to 25 researchers in natural language processing from different walks of life. The group is part of the Computer Science Department at the University of Oslo, where we enjoy modern facilities and good access to national and European supercomputing facilities. LTG participates in several national and European flagship research initiatives, including the Digital Europe consortium OpenEuroLLM: Foundation Models for Transparent AI in Europe. This doctoral fellowship will be offered association with OpenEuroLLM, for example by means of collaboration with or research visits to other consortium members. The application deadline for this position is March 1. Interviews will be conducted by early April, and offers of employment made shortly thereafter. The latest possible starting date for this position is October 1, 2026. Please do not hesitate to contact me for further inquiries. Best wishes, oe

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Summer School: The Paradigm Shift: From Rules to Models in Natural Language Processing
by Amal Haddad 11 Feb '26

11 Feb '26

The Paradigm Shift: From Rules to Models in Natural Language Processing International Summer School Alicante, Spain, 15, 16 and 17 June 2026 https://summer-school.gplsi.es First Call for Participation Natural Language Processing (NLP) has witnessed a clear paradigm shift: the transition from rule-based approaches to data-driven language models. While rule-based approaches dominated NLP for many years, during the 1990s and early 2000s they gradually gave way to statistical and machine-learning methods. It would be fair to say that data-driven models--and, most prominently, Deep Learning (DL), including more recently Large Language Models (LLMs)--have taken the world by storm. Deep Learning models are now used almost everywhere, across nearly every discipline, and Natural Language Processing is no exception. DL has proved highly promising so far, delivering improvements for almost every NLP task and application. However, as observed on numerous occasions, the outputs of DL models are not always ideal, with some studies reporting cases in which machine-learning approaches do not necessarily outperform the 'old-fashioned' rule-based ones. The overarching theme of the summer school will be this paradigm shift, with lectures and practical sessions reflecting the latest trends at both theoretical and practical levels. More specifically, the programme will combine lectures focusing on theoretical foundations with hands-on practical sessions. Specific topics will include an Introduction to Large Language Models (LLMs), Explainable AI in LLMs, Datasets and bias in LLMs, Building foundational LLMs for low-resource languages, Machine Translation for Low-Resource Languages, LLMs and sentiment analysis, Model and hyperparameter optimisation and Eye-tracking and gaze data for NLP and language models, among others. The summer school will be ideal for both newcomers and experienced professionals in NLP, computer science, data science, cybersecurity, corpus linguistics, language technologies, and related disciplines, offering a unique opportunity to deepen expertise and engage with the rapidly evolving world of LLMs. Venue and dates The summer school will take place at the research institute of Informatics of the University of Alicante and will take place on 15, 16 and 17 June 2026. Registration Registration will open in March 2026. Related events The summer school will follow the second international conference _Natural Language Processing and Artificial Intelligence_ (NLPAICS'2026) which will take place in Alicante on 11 and 12 June 2026 (https://nlpaics2026.gplsi.es). Keynote speaker Roberto Navigli (Sapienza University of Rome) Lecturers The list of summer school lecturers includes: Tharindu Ranasinghe (Lancaster University) Salima Lamsiyah (University of Luxembourg) Cengiz Acartürk (Jagiellonian University) Hansi Hettiarachchi (Lancaster University) Juan Pablo Consuegra Ayala (University of Alicante) Robiert Sepulveda Torres (University of Alicante) Alicia Picazo Izquierdo (University of Alicante) Isuri Anuradha (Lancaster University) Damith Premasiri (Lancaster University) Ernesto Luis Estevanell (University of Alicante) Maram Alharbi (Lancaster University) Summer school Directors Tharindu Ranasinghe (University of Lancaster) Salima Lamsiyah (University of Luxembourg) Summer School Chair Ruslan Mitkov (University of Alicante) Advisory Committee Manuel Palomar Sanz (University of Alicante) Rafael Muñoz Guillena (University of Alicante) Andrés Montoyo Guijarro (University of Alicante) Organising Committee Raúl García Cerdá (University of Alicante) Alicia Picazo Izquierdo (University of Alicante) Ernesto Luis Estevanell (University of Alicante) Maram Alharbi (Lancaster University) Further information Further information including registration details will be provided in subsequent calls. Alternatively, interested parties can email summer-school(a)dlsi.ua.es for more information. -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" ===============

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Second CfP: Identity Aware NLP at LREC 2026
by Neele Falk 11 Feb '26

11 Feb '26

Dear all, We are organizing a workshop co-located with LREC 2026 on Identity Aware NLP. The details are as follows: ===================================================================== SECOND CALL FOR PAPERS Ethical and Technical Challenges for Identity-Aware NLP Workshop at LREC 2026, Palma de Mallorca, Spain, May 11-16, 2026 https://identity-aware-ai.github.io/ ===================================================================== *Workshop Theme:* What makes each of us unique, and which ethical and technical challenges does this imply? *OVERVIEW* What makes us unique? Language (and thus the automatic processing of it) is about people and what they mean. However, current practice relies on the assumptions that the involved humans are all the same, and that if enough data (and compute power) is present, the resulting generalizations will be robust enough and represent the majority. This approach often harms marginalized communities and ignores the notion of identity in models and systems. Our interdisciplinary workshop aims to raise the question of "what makes each of us unique?" to the NLP community. *WORKSHOP GOALS* - The development of a shared and interdisciplinary understanding of identities and how identity is treated in AI - The development of new methods that push the effective, fair, and inclusive treatment of individuals in AI to the next level *TOPICS OF INTEREST* We invite submissions on the following topics: *Modeling subjective phenomena and disagreement: *Personalization and perspectivist methods that challenge one-size-fits-all approaches by leveraging disaggregated data and annotator metadata. Methods that learn from disagreements rather than forcing consensus that erases unique perspectives. *Auditing and evaluating identity representation:* Techniques to measure how well models represent diverse identities, diagnose failures in capturing marginalized perspectives, and assess whether systems treat all identities equitably. Frameworks for identity-aware performance evaluation beyond aggregate metrics. *Bias detection and fairness interventions: *Methods to identify when models fail marginalized groups due to over-generalization, and techniques to mitigate such harms while preserving model utility. *Identity representation in LLMs: *How language models encode (or erase) diverse identities, embody particular perspectives, and either reproduce or challenge stereotypes. Measuring LLMs' capacity for reasoning about identities beyond majority groups. *Socio-political applications: *Modeling polarization, opinion formation, and deliberation in ways that account for identity rather than assuming homogeneous populations. How identity-aware approaches improve accuracy for politically sensitive tasks. *Methodological foundations from social sciences:* Best practices from psychology and survey science for measuring identity constructs (values, morals, narratives). Addressing challenges of using LLMs to model diverse populations while avoiding erasure through aggregation. *Accountability and responsible development: *Ethical responsibilities when building systems that represent (or exclude) identities. Making AI development processes accountable to marginalized communities most affected by over-generalization. *Identity-aware and community informed evaluation and auditing*: Community informed bias evaluation and auditing. Human evaluation of LLMs and other AI systems in an identity-aware manner. *SUBMISSION TYPES* We welcome the following types of submissions: * Long papers: 4-8 pages of content (excluding references) * Short papers: 4-8 pages of content (excluding references) * Non-archival submissions, student project presentations, mixed-media submissions For non-archival submissions, we welcome creative formats including: - Art, poetry, music - Blog posts - Jupyter notebooks - Teaching materials - Videos - Findings papers - Late-breaking papers - Extended abstracts For creative format submissions, please submit a PDF containing: - A summary or abstract of your work - A link to your work (if hosted externally) - Any additional context or documentation *SUBMISSION GUIDELINES * * All submissions will be double-blind reviewed * Submissions should follow LREC 2026 formatting guidelines available at: https://lrec2026.info/authors-kit/ * Papers must be 4-8 pages in length (excluding references) * Papers must include ethics and limitations sections * NO appendices are allowed (initial submission), up to 10 pages camera-ready * Originality and simultaneous submissions: submissions must be original, previously unpublished work. If a paper is submitted to or under consideration at another venue at the same time, this must be declared at submission time. If accepted here, it must be withdrawn from other venues; if accepted elsewhere while under review here, please notify us promptly. * Preprints: there is no anonymity period at LREC 2026, so authors may post preprints at any time; however, the version submitted for review must still be anonymized * Language resources (optional): at submission time, authors may share related language resources with the community; repository entries are linked to the LRE Map and provide metadata for the resource * Submission site: https://softconf.com/lrec2026/IdentityAwareAI * Proceedings and presentation: accepted papers will appear in the workshop proceedings. All accepted papers will be presented as posters. For remote participants, we will also organize a lightning round of short virtual presentations to accompany the posters. *WORKSHOP FORMAT* The workshop will be a half-day event featuring: - Keynote speeches from leading experts in the field - Paper presentations (oral and lightning talks) - Participatory design activity to develop a shared interdisciplinary vocabulary, identify current gaps in datasets for studying identity, and design a vision for collecting new datasets We are committed to ensuring that our workshop is accessible to all. The workshop will be held in a hybrid format, allowing both in-person and virtual participation. *IMPORTANT DATES* All deadlines are 11:59 PM AoE (Anywhere on Earth) * Submission Deadline: February 20, 2026 * Notification of Acceptance: March 20, 2026 * Camera-Ready Deadline: March 30, 2026 * Workshop Date: May 16, 2026 *DIVERSITY & INCLUSION * We actively encourage submissions from underrepresented communities and countries. The workshop organizers will provide mentorship and thorough feedback, especially to first-time authors and reviewers. * ORGANIZERS* Pranav A (University of Hamburg) Valerio Basile (University of Turin) Neele Falk (University of Stuttgart) David Jurgens (University of Michigan) Gabriella Lapesa (GESIS, Leibniz Institute for the Social Sciences & Heinrich-Heine University of Düsseldorf) Anne Lauscher (University of Hamburg) Soda Marem Lo (University of Turin) *CONTACT* For queries, please contact: identity-aware-ai(a)googlegroups.com Join us at Identity-Aware AI 2026 to contribute to this important conversation!

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