February 2026 - Corpora

3rd Int. Workshop on Natural Scientific Language Processing (NSLP) 2026: Final CFP!
by Georg Rehm 17 Feb '26

17 Feb '26

3rd International Workshop on Natural Scientific Language Processing (NSLP 2026): Final Call for Papers 12 May 2026 – Co-located with LREC 2026 Palma, Mallorca (Spain) NSLP 2026 features two shared tasks: * ClimateCheck 2026: Scientific Fact-Checking of Social Media Claims * SOMD 2026: Software Mention Detection & Coreference Resolution NSLP 2026 – important dates: * Submission deadline: 20 February 2026 * Notifications: 13 March 2026 * Camera-ready: 30 March 2026 NSLP 2026 website (including the shared tasks): * https://nfdi4ds.github.io/nslp2026 Scientific research has witnessed a steep growth rate over the last decades. The number of scholarly publications is growing exponentially, and doubles every 15-17 years. Consequently, both general and specialised repositories, databases, knowledge graphs, and digital libraries have been developed to publish and manage scientific artifacts. Examples include the Open Research Knowledge Graph (ORKG), the Semantic Scholar Academic Graph (S2AG), PubMed Central and also the ACL Anthology. These resources enable the collection, reuse, tracking, and expansion of scientific findings, and facilitate downstream applications such as scientific search engines. However, in order to develop robust systems that deal with scholarly text, various challenges need to be addressed. The current status quo of scientific communication mostly includes scholarly articles as unstructured PDF documents, which are not machine-readable in the sense that relevant scientific information can be extracted easily, thus making extracting and utilising this information as part of the scientific process a laborious and time-consuming task. Developing methods for converting unstructured information into structured formats is one of the major challenges in the field of Natural Scientific Language Processing (NSLP). This goal encompasses related challenges such as detecting, disambiguating, and linking mentions of scientific artifacts (e.g., software tools or specific datasets or language resources), and tracking state-of-the-art models and their evaluation scores (including new versions of existing models). Extracting and managing heterogeneous scientific knowledge effectively remains a challenging ongoing research area. Existing efforts are often fragmented, addressing separate issues with distinct datasets and conceptual approaches. NSLP 2026 addresses current topics and issues in Natural Scientific Language Processing. It is proposed and organised with the support of NFDI for Data Science and Artificial Intelligence (NFDI4DS), a long-term project with approx. 20 partners who work towards building a German national research data infrastructure for DS and AI. The workshop aims to further bring together the international community of researchers who work on NSLP and related topics (including research knowledge graphs), to discuss current issues and possible solutions. NSLP 2026 includes two keynote speakers and presentations of accepted papers (oral and poster presentations), as well as three shared tasks. Topics of interest include, but are not limited to * Scientific LLMs – LLMs for NSLP * Language resources (LRs) and Language technologies (LTs) for NSLP beyond LLMs * Research Knowledge Graphs (RKGs), Scientific Knowledge Graphs (SKGs) and other forms of structured representation of research-related knowledge * Information extraction from scholarly articles * Extraction of research information from texts * Detection and disambiguation of mentions of datasets, tasks, software or other methods * Classification of scholarly articles (collections, single documents, parts of documents) * Information extraction for RKGs * Summarisation of scholarly articles * Scholarly IR and scientific search engines * Question answering over scientific knowledge * Metadata and cataloging * Cross-lingual and multilingual natural scientific language processing * Adaptation of NLP methods for NSLP purposes Important Dates * Paper submission deadline: 20 February 2026 (not to be extended) * Notification of acceptance: 13 March 2026 * Camera-ready submission: 30 March 2026 * Workshop: 12 May 2026 Submission Guidelines The NSLP 2026 workshop invites submissions of: regular long papers; short papers; position papers. We especially encourage submissions from junior researchers and students from diverse backgrounds. * Note that we will not accept work that is under review or has already been published in or accepted for publication in a journal, another conference, or another workshop. * The workshop invites anonymous submissions of regular long papers (up to 8 pages without references and appendix); short papers as well as position papers (up to 4 pages without references and appendix) presenting, for example, negative results, in-progress projects, or demos. * Authors are permitted to include an optional appendix of up to 2 pages. However, reviewers will not be mandated to review the appendix and all papers must be self-contained. * Reviewing will be performed double-blind, i.e., submissions must be anonymous. Reviewers will not actively try to identify the authors. * Submissions must be in PDF, formatted in the LREC 2026 style. * The proceedings of this workshop will be published in the ACL Anthology (full Open Access) as part of the LREC 2026 proceedings. * At least one author per contribution must register for the workshop for presentation. * All submissions are done via START: https://softconf.com/lrec2026/NSLP2026/ When submitting a paper through START, the authors will be asked to provide essential information about resources (in a broad sense, i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Keynote Speakers * Iryna Gurevych, TU Darmstadt, Germany * Yufang Hou, ITU Austria, Austria Shared Tasks 1. ClimateCheck 2026: Scientific Fact-Checking of Social Media Claims The rise of climate discourse on social media offers new channels for public engagement but also amplifies mis- and disinformation. As online platforms increasingly shape public understanding of science, tools that ground claims in trustworthy, peer-reviewed evidence are necessary. The new iteration of ClimateCheck builds on the results and insights from the 2025 iteration (run at SDP 2025/ACL 2025), offering the following subtasks: Subtask 1: Abstract retrieval and claim verification: given a claim and corpus of publications, retrieve the top 10 most relevant abstracts and classify each claim-abstract pair as supports, refutes, or not enough information. Subtask 2: Disinformation narrative classification: given a claim, predict which climate disinformation narrative exists according to a predefined taxonomy. New training data will be released for both tasks, with task 1 having triple the amount of the last iteration. The new iteration will focus on sustainability, emphasising the need to build climate-friendly NLP systems with minimal environmental impact. Shared task co-organisers: Raia Abu Ahmad, Aida Usmanova, Max Upravitelev, Georg Rehm 2. SOMD 2026: Software Mention Detection & Coreference Resolution Understanding software mentions is crucial for reproducibility and to interpret experimental results. Citations of software are often informal, lacking the use of persistent identifiers, making it hard to infer and disambiguate knowledge about software efficiently. This task will build on SOMD 2025 (run at SDP 2025, co-located with ACL 2025) and focus on entity disambiguation as an under-investigated problem in this context. More precisely, we address the task of coreference resolution of software mentions across multiple documents, i.e. given a set of software mentions extracted from multiple scientific publications, cluster these mentions so that all software mentions in a particular cluster refer to the same real world software. We define three subtasks with varying challenges: Subtask 1: Software coreference resolution over gold standard mentions. Addresses the task based on high-quality (gold standard) mentions of software that are expert-annotated in multiple publications. Subtask 2: Software coreference resolution over predicted mentions. Addresses the task on software mentions that are automatically extracted using a baseline model, i.e. reflecting a typical information extraction scenario, where upstream pipelines (such as entity and metadata extraction) are imperfect. Subtask 3: Software coreference resolution at scale. Addresses the task using predicted mentions of software and metadata at a larger scale. This challenges models to scale effectively, maintain accuracy, and distinguish among an increasingly dense field of similar or overlapping software mentions. Shared task co-organisers: Sharmila Upadhyaya, Stefan Dietze, Frank Krüger, Wolfgang Otto Organisers * Georg Rehm (Deutsches Forschungszentrum für Künstliche Intelligenz & Humboldt-Universität zu Berlin, Germany) – main contact: <georg.rehm(a)dfki.de<mailto:georg.rehm@dfki.de>> * Stefan Dietze (GESIS Leibniz Institut für Sozialwissenschaften, Cologne & Heinrich-Heine-University Düsseldorf, Germany) * Danilo Dessí (University of Sharjah, UAE) * Diana Maynard (University of Sheffield, UK) * Sonja Schimmler (Technical University of Berlin & Fraunhofer FOKUS, Germany) Programme Committee * Marcel Ackermann, Lernzentrum Informatik (LZI), DBLP, Germany * Raia Abu Ahmad, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Tilahun Abedissa Taffa, University of Hamburg, Germany * Ekaterina Borisova, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Davide Buscaldi, LIPN, CNRS, University Paris 13, France * Leyla Jael Castro, ZB MED Information Centre for Life Sciences, Germany * Mathieu d’Aquin, Université de Lorraine, France * Jennifer D’Souza, TIB Leibniz Information Centre for Science and Technology, Germany * Catherine Faron, Université Côte d’Azur, France * Dayne Freitag, SRI International, USA * Paul Groth, University of Amsterdam, TheNetherlands * Leonhard Hennig, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Inma Hernandez, University of Seville, Spain * Robert Jäschke, Humboldt University of Berlin, Germany * Petr Knoth, Open University, UK * Frank Krüger, Wismar University of Applied Sciences, Germany * Julia Lane, NYU Wagner Graduate School of Public Service, USA * Andrea Mannocci, CNR-ISTI, Italy * Natalia Manola, OpenAIRE, Greece * Mirko Marras, University of Cagliari, Italy * Philipp Mayr-Schlegel, GESIS Leibniz-Institute for the Social Sciences, Germany * Pedro Ortiz Suarez, Common Crawl Foundation, USA * Wolfgang Otto, GESIS Leibniz-Institute for the Social Sciences, Germany * Haris Papageorgiou, R.C. Athena, Greece * Silvio Peroni, University of Bologna, Italy * Simone Ponzetto, Univ. of Mannheim, Germany * Diego Reforgiato Recupero, University of Cagliari, Italy * Harald Sack, FIZ Karlsruhe, Germany * Angelo Salatino, The Open University, UK * Philipp Schaer, TH Köln (University of Applied Sciences), Germany * Atsuhiro Takasu, University of Tokyo, Japan * Stefani Tsaneva, WU Wien, Austria * Ricardo Usbeck, Leuphana University, Germany * Thanasis Vergoulis, R.C. Athena, Greece

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Call for Abstracts -- 2026 NARNiHS Research Incubator -- North American Research Network in Historical Sociolinguistics
by Lauersdorf, Mark R. 17 Feb '26

17 Feb '26

*** 2026 NARNiHS Research Incubator *** North American Research Network in Historical Sociolinguistics *** 8th edition *** 07-09 May 2026 -- entirely online! ==> Abstract Submission Deadline ==> 23 March 2026, 11:59 PM (U.S. Eastern Time) The 2026 NARNiHS Research Incubator is an entirely online event (**with free registration**). This event offers an opportunity for scholars in historical sociolinguistics from all over the world to participate in discussions of cutting-edge research without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields in our global scholarly community to join us online for our Research Incubator this spring. Abstract submission deadline: 23 March 2026, 11:59 PM (U.S. Eastern Time) Abstract submission online: https://easyabs.linguistlist.org/submit/2026_Incubator/ The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its 2026 NARNiHS Research Incubator. The 8th edition of this inclusive NARNiHS event seeks to provide a collaborative environment where presenters bring work that is in-progress, exploratory, proof-of-concept, prototyping. The Incubator's audience actively participates in workshopping these new ideas, brainstorming along with the presenters to forge scholarly paths and develop research solutions. We see the NARNiHS Research Incubator as a place for testing and pushing boundaries; developing new theories, methods, models, and tools in historical sociolinguistics; seeking feedback from peers; and engaging in productive assessment of fledgling ideas and nascent projects. NARNiHS welcomes papers in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, methods, and models for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Successful abstracts for this research incubator environment will demonstrate thorough grounding in historical sociolinguistics, scientific rigor in the formulation of research questions, and promise for rich discussion of ideas. Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. Please note that the connection of your research to the field of historical sociolinguistics should be explicitly outlined in your abstract. Abstracts should not exceed one page (not including examples and references, see below). Failure to adhere to these criteria will likely result in rejection. We are soliciting abstracts for 25-minute presentations. Presenters will have the entire 25 minutes for their presentations, with discussion happening in the "incubation session" at the end of each panel. Presentations will be grouped into thematic panels of three presentations, each panel followed by an hour-long discussion with the audience led by specialists, creating a brainstorming/workshopping environment that encourages maximum exchange of ideas. Discussion will encompass specific feedback on the individual papers as well as consideration of overarching questions of theory, methods, and models emerging from the papers. To facilitate such discussion, authors will be required to submit a draft of their presentation materials for distribution to the panel discussants and to the other presenters a few days prior to the start of the conference. Abstracts will be accepted until Monday, 23 March 2026 -- late abstracts will not be considered. *** Abstract Content Requirements: 1) Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. 2) Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. 3) The connection of your research to the field of historical sociolinguistics should be explicitly outlined. *** Abstract Format Guidelines: 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5×11 inch or A4 page, with margins no smaller than 1 inch / 2.5 cm and a font style and size no smaller than Times New Roman 12-point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed; abstracts exceeding these limits will be rejected without review. 3) Anonymize your abstract. We realize that sometimes complete anonymity is not attainable, but there is a difference between the nature of the research creating an inability to anonymize and careless non-anonymizing (in citations, references, file names, etc.). Be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving the file before submission). Do not use your name when saving your PDF (e.g. Smith_Abstract.pdf); file names will not be automatically anonymized by the EasyAbs system. Rather, use non-identifying information in your file name (e.g. HistSoc4Lyfe.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible will be rejected without review. *** General Conference Requirements: 1) Abstracts must be submitted electronically, using the following link: https://easyabs.linguistlist.org/submit/2026_Incubator/ 2) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 3) Authors are expected to virtually attend the conference and present their own papers. 4) Presentations will be delivered via Zoom. Technical details and instructions regarding the platform will be sent to authors in due time. Please contact us at NARNiHistSoc(a)gmail.com with any questions.

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February 2026 Newsletter - LDC
by Penn LDC 16 Feb '26

16 Feb '26

In this newsletter: LDC membership discounts expire March 2 Spring 2026 data scholarship recipient New publications: 2022 NIST Language Recognition Evaluation Test and Development Sets<https://catalog.ldc.upenn.edu/LDC2026S03> KAIROS Schema Learning Background Source Data<https://catalog.ldc.upenn.edu/LDC2026T02> LORELEI Russian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T01> ________________________________ LDC membership discounts expire March 2 Time is running out to save on 2026 membership fees. Renew your LDC membership, rejoin the Consortium, or become a new member by March 2 to receive a 10% discount. For more information on membership benefits and options, visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc>. Spring 2026 data scholarship recipient Congratulations to the recipient of LDC's Spring 2026 data scholarship: Doma Akshitha Reddy: Chaitanya Bharathi Institute of Technology (India): Bachelor of Engineering, Information Technology. Doma is awarded copies of TIMIT Acoustic-Phonetic Continuous Speech Corpus and The CMU Kids Corpus for their work in child speech. Since 2010, LDC has awarded scholarships to successful student applicants twice each year. To date more than 242 corpora have been distributed to 162 students across 38 countries. We proudly celebrate their achievements and the contributions their research has made to the broader community. The next round of applications will be accepted in September 2026. For information about the program, visit the Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: 2022 NIST Language Recognition Evaluation Test and Development Sets<https://catalog.ldc.upenn.edu/LDC2026S03> was developed by LDC and NIST<https://www.nist.gov/> and contains the test and development data, metadata, answer keys, and documentation for the 2022 NIST Language Recognition Evaluation (LRE22). The source data is comprised of 222 hours of conversational telephone speech (CTS) and broadcast narrowband speech (BNBS) in 14 languages: Afrikaans, Tunisian Arabic, Algerian Arabic, Libyan Arabic, South African English, Indian-accented South African English, North African French, Ndebele, Oromo, Tigrinya, Tsonga, Venda, Xhosa, and Zulu. For the CTS collections, a small number of native speakers made single calls to multiple individuals in their social network. Calls lasted 8-15 minutes; speakers were free to discuss any topic. The BNBS data was collected from streaming radio programming, focused on broadcasts that included narrowband speech (e.g., call-ins to a talk show). Portions of the CTS callee call sides and portions of each broadcast recording were manually audited by native speakers to verify language and quality. LRE22 <https://www.nist.gov/publications/2022-nist-language-recognition-evaluation> emphasized language recognition for African languages, including low resource languages, and expanded the range of test segment durations. Further information about the 2022 evaluation can be found in the 2022 NIST Language Recognition Evaluation Plan. <https://lre.nist.gov/uassets/3> 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * KAIROS Schema Learning Background Source Data<https://catalog.ldc.upenn.edu/LDC2026T02> was developed by LDC and includes 14,000 English and Spanish documents representing text, audio, video, image, and multimedia resources collected during the DARPA KAIROS program as supplemental background source data for the KAIROS Schema Learning Corpus (SLC). The purpose of the supplemental collection was to increase the amount of English and Spanish data with multimedia components for schema learning and to add domains not well represented in existing Spanish data. The supplemental data in this release includes material from the business and logistics domains, instructional documents and multimedia news. The complete set of SLC background source data (including the data in this publication) totaled 16.2 million English, Russian, and Spanish documents and more than 125,000 audio, video, image, or multimedia resources. A large portion of that data was drawn from pre-existing LDC datasets. The SLC and KAIROS Schema Learning Complex Event Annotation (LDC2025T07)<https://catalog.ldc.upenn.edu/LDC2025T07>, containing English and Spanish text, audio, video, and image material labeled for 93 real-world complex events, constitute the data used by KAIROS system developers for schema learning. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions, and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Russian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T01> contains over 1.26 billion words of Russian monolingual text, 360,00 words of which were translated into English, 3 million words of found Russian-English parallel text, and 87,000 Russian words translated from English data. Approximately 83,000 words were annotated for simple named entities, around 26,000 words were annotated for full entity (including nominals and pronouns), entity linking and situation frames (identifying entities, needs, and issues) and nearly 9,000 words were covered by noun phrase chunking annotation. Data was collected from discussion forum, news, reference, social network, and weblogs. 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. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2026 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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Final call for papers NLDB 2026
by elena_cabrio 16 Feb '26

16 Feb '26

*Final call for papers* NLDB 2026: 31st Annual International Conference on Natural Language & Information Systems 17-19 June 2026 | Norwegian University of Science and Technology | Trondheim, Norway *Website:*https://www.ntnu.edu/nldb2026/ <https://www.ntnu.edu/nldb2026/> Objectives Recent advances in AI have increased the expectations for users when it comes to information access systems. With powerful LLMs, users engage with information using natural language instead of artificial query languages. At the same time, this raises not only technical but also ethical concerns, such as sustainability, reliability, and privacy. NLDB has established itself as a venue to discuss precisely the intersection of natural language and information systems. We invite researchers and practitioners to contribute. Important Dates: Paper Submission: 20 February 2026, Anywhere on Earth Author Notification: 20 March 2026 Camera-ready Deadline: 2 April 2026 Topics of Interest include (but are not limited to): * Multimodality * AI safety and ethics * Interactivity and Natural Language Interfaces * Social Media and Web Data * eXplainable AI * Interpretability and Model Analysis in NLP * Generative models, Large Language Models * Information Retrieval and Text Mining * Discourse and Pragmatics, Sentiment Analysis, Argument Mining * Question Answering, Dialogue, and Interactive Systems * NLP Applications * Efficient/Low-resource methods in NLP * Big Data and Scalability Paper Submission Detailed instructions covering formatting, submission procedures, and all relevant requirements are available on the conference website. * *Submission system*: Manuscripts must be submitted in PDF format via Microsoft CMT: https://cmt3.research.microsoft.com/NLDB2026/ * *Author guidelines*: Authors should follow the LNCS format <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>. Submissions that do not adhere to these requirements will be desk-rejected. * *Paper categories and length limits*: o Full papers: up to 15 pages, including references and appendices o Short papers: up to 11 pages, including references and appendices o Demo papers: up to 6 pages, including references

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[IberLEF 2026] Accepted tasks have been published!
by Luis Chiruzzo - Inco 16 Feb '26

16 Feb '26

Dear all, We are pleased to inform you that the IberLEF 2026 accepted tasks have been published on the website: https://sites.google.com/view/iberlef-2026/tasks. 17 shared tasks have been accepted, out of a total of 21 proposals. They are NLP tasks on language comprehension, harmful and inclusive content, clinical NLP, NLP for inclusion, sentiment and figurative analysis and information extraction and ranking. We encourage you to take part in these interesting challenges. Below you can find the title of each task, the link to access the website and the organizers of the challenge. LANGUAGE COMPREHENSION NivELE: Nivelación automática de textos de estudiantes de ELE (Español como Lengua Extranjera) <https://sites.google.com/view/nivele2026/> Organised by María Victoria Cantero Romero, Jaime Collado Montañez, Javier Fruns Giménez, Alicia Arjonilla Sampedro, Joaquín Cruz, Isabel Cabrera de Castro, Arturo Montejo-Ráez, Salud María Jiménez Zafra PROFE: Language Proficiency Evaluation <https://sites.google.com/view/profe2026> Organised by Alvaro Rodrigo, Anselmo Peñas, Alberto Pérez, Sergio Moreno-Álvarez,Javier Fruns, Inés Soria Pastor, Rodrigo Agerri HARMFUL AND INCLUSIVE CONTENT HOPE-EXP 2026: Outcome-Oriented Expectation Analysis in Social Media <https://www.codabench.org/competitions/13563/> Organised by Fazlourrahman Balouchzahi, Sabur Butt, Helena Gómez Adorno, Salud María Jiménez Zafra, Hector G. Ceballos, Grigori Sidorov MiSonGyny: Misogyny in Song Lyrics <https://sites.google.com/view/misongyny> Organised by Tania Gisela Alcántara Medina, Miguel Soto, César Macías, Omar García Vázquez, Alberto Espinosa, María Aloy Mayo, Elías Uriós Alacreu, Paolo Rosso, Hiram Calvo, José Eduardo Valdez Rodríguez WomenHelp-2026: Classification of Gender-Based Violence Reports to Help Threatened Women in Northern Mexico <https://womenhelp.com.mx/> Organized by Niels Martínez Guevara, Gemma Bel Enguix, Helena Gómez Adorno, Sergio Luís Ojeda Trueba, Valeria Soto Mendoza, Arturo Curiel, Jessica Beltrán CLINICAL NLP GRACE: Granular Recognition of Argumentative Clinical Evidence <https://www.codabench.org/competitions/13280/> Organised by Iker de la Iglesia, Aiziber Atutxa, Ander Barrena, Koldo Gojenola, Raquel Martínez, Soto Montalvo, Miguel Ángel Rodríguez, Sofía Zakhir Puig, Vanesa Gómez Martínez MentalRiskES 2026: Early Detection of Mental Disorders Risk in Spanish - Fourth edition <https://sites.google.com/view/mentalriskes2026> Organised by Arturo Montejo Ráez, Alba María Mármol Romero, María Dolores Molina González, Flor Miriam Plaza del Arco, María Rosario García Viedma, Mónica Hernández López, Fabián Suárez Maroto, Alfonso Ureña López MIRROR: Motivational Interviewing Response & Rating via Synthetic cOnversational tuRns <https://mirror-iberlef.vercel.app/> Organised by Luis Joaquin Arellano Muñoz, John Piette, Hugo Jair Escalante, Carlos Antonio Olachea Hernández, Luis Villaseñor, Manuel Montes, Delia Irazú Hernández Farias NLP FOR INCLUSION MER-TRANS: First Shared Task on Multilingual Easy-to-Read Translation <https://lastus-taln-upf.github.io/mertrans-iberlef-2026/> Organised by Horacio Saggion, Nelson Pérez, Mehrzad Tareh, Daniel Adanza, Stefan Bott, Nouran Khalaff, Almudena Rasón, Sandra Szasz MSLG-SPA 2026: Bidirectional Translation between Mexican Sign Language Glosses and Spanish <https://sites.google.com/cicese.edu.mx/mslg-spa2026> Organised by Ansel Yoan Rodríguez-González, Daniel Fajardo-Delgado, Miguel Ángel Álvarez Carmona, María G. Sánchez-Cervantes, Ángel Díaz Pacheco, Ángel Ramón Aranda Campos, Silvia Fajardo Flores, Carlos Humberto Martínez Rodríguez SSD-2026: Social Support Detection and Target Identification in Social Media <https://sites.google.com/view/ssd2026/home> Organized by Luís Israel Ramos Pérez, Moein Shahiki Tash, Zahra Ahani, Fazlourrahman Balouchzahi, Grigori Sidorov, Alexander Gelbukh, Raúl Monroy SENTIMENT AND FIGURATIVE ANALYSIS HAHA 2026: Humor Analysis based on Human Annotation and Automatic Humor Generation <https://www.fing.edu.uy/inco/grupos/pln/haha/> Organised by Luis Chiruzzo, Santiago Castro, Santiago Góngora, Guillermo Moncecchi, Aiala Rosá, Ignacio Sastre, Guillermo Rey, Juan Pablo Conde, Victoria Amoroso, Juan José Prada HISEMOTIONS 2026: Historical Text-Based Emotion Detection in Early Modern Spanish Correspondence <https://github.com/albinasarymsakova/HISEMOTIONS_2026> Organised by Albina Sarymsakova, Patricia Martín Rodilla, Eugenio Martínez Cámara, Alfonso Ureña López REST-MEX 2026: Research on Synthetic Text Modeling for Mexican Magical Towns <https://sites.google.com/cimat.mx/rest-mex-2026/home> Organised by Miguel Ángel Álvarez Carmona, Ramón Aranda, Ángel Díaz-Pacheco, Margarita Reyes-Sierra, Ansel Yoan Rodríguez González, Lázaro Bustio Martínez, Vitali Herrera Semenets SpeechMATICS: Speech Multimodal Audio-Text Irony Classification in Spanish <https://www.codabench.org/competitions/13700/> Organised by Vicent Ahuir, Alejandro Barceló-Milkova, Andreu Casamayor-Segarra, María José Castro-Bleda, Lluís Felip Hurtado INFORMATION EXTRACTION & RANKING GenSIE: General-purpose Schema-guided Information Extraction <https://uhgia.org/gensie/> Organised by Yudivian Almeida Cruz, Suilan Estévez Velarde, Alejandro Piad Morffis, Isabel Espinosa Zaragoza, María Miró Maestre, Alba Pérez Montero, Lucía Sevilla Requena, Ernesto Estevanell Valladares PoliticHeadlinES: Multimodal Headline Ranking in Spanish Political News <https://www.codabench.org/competitions/13546/> Organised by Tomás Bernal-Beltrán, Ronghao Pan, Francisco García-Sánchez, José Antonio García-Díaz, Jorge Gómez Navalón, Rafael Valencia-García Best regards, IberLEF 2026 general chairs Alba Bonet Jover, Universidad de Alicante (Spain) José Ángel González Barba, TransPerfect (Spain) Luis Chiruzzo, Universidad de la República (Uruguay) Website https://sites.google.com/view/iberlef-2026/ Contact E-mail: iberlef(a)googlegroups.com

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[CFP] SIXTH WORKSHOP ON NLP FOR INDIGENOUS LANGUAGES OF THE AMERICAS
by ACL Announcements 16 Feb '26

16 Feb '26

SIXTH WORKSHOP ON NLP FOR INDIGENOUS LANGUAGES OF THE AMERICAS AmericasNLP 2026 will be co-located with ACL 2026 in San Diego, California, USA! CALL FOR PAPERS The goal of AmericasNLP is to encourage and increase the visibility of work on the Indigenous languages of the Americas. It aims to encourage research on NLP, computational linguistics, corpus linguistics and speech for Indigenous languages, to connect researchers and professionals from underrepresented communities and native speakers of endangered languages with the ACL community, and, more generally, to promote machine learning approaches suitable for low-resource languages. We invite the submission of: * Long papers (8 pages) and short papers (4 pages) on substantial, original, and unpublished research * Non-archival extended abstracts (2 pages), technical reports (8 pages), and work which has been presented at other venues (in the format of the original publication). Submissions do not need to describe work on native languages directly, as long as it is clear why those can benefit from the described approaches. Areas of interest include but are not limited to: * Creation of datasets for NLP applications * Incorporation of external knowledge into neural systems * Linguistic typology and the use of typological features for NLP * Transfer learning, meta-learning, and active learning * Weakly supervised, semi-supervised, and unsupervised learning * Machine translation of low-resource languages * Applications of, and innovation with LLMs for indigenous languages of the Americas * Morphology and phonology of low-resource languages * NLP applications for Indigenous languages of the Americas * Ethical considerations for research on languages spoken by Indigenous communities * Language activism, revitalization, and sovereignty, in the context of NLP models and research Submissions will be accepted until April 15th, 2026 via softconf: submission portal Note: Limitation section and ethics statement are not mandatory, but strongly encouraged. If they are part of your submission, they do _not_ count towards the page limit. SHARED TASK To motivate the NLP community to increase research efforts on Indigenous and endangered languages, AmericasNLP 2026 will feature a new shared task about image captioning of culturally relevant images. The results of the shared task will be presented during the in-person workshop in San Diego. More information can be found here. IMPORTANT DATES * Submission Deadline: April 15th _(After the ACL acceptance notification)_ * Notification of Acceptance: May 10th * Camera-Ready Papers Due: May 22nd * Workshop: July 3 or 4 All deadlines are 11:59pm anywhere on Earth (AoE). ORGANIZING COMMITTEE * Manuel Mager, Johannes Gutenberg University of Mainz, jmagerho(a)uni-mainz.de * Arturo Oncevay, Independent, arturo.oncevay(a)gmail.com * Abteen Ebrahimi, University of Colorado Boulder, abteen.ebrahimi(a)colorado.edu * Minh Duc Bui, Johannes Gutenberg University of Mainz, minhducbui(a)uni-mainz.de * Shruti Rijhwani, Google DeepMind, shrutirijhwani(a)google.com * Luis Chiruzzo, Universidad de la República, Uruguay, luischir(a)fing.edu.uy * Robert Pugh, University of Indiana, pughrob(a)iu.edu * Rolando Coto-Solano, Dartmouth College, rolando.a.coto.solano(a)dartmouth.edu * John E. Ortega, Northeastern University, j.ortega(a)northeastern.edu * Katharina von der Wense, University of Colorado Boulder and Johannes Gutenberg University of Mainz, katharina.kann(a)colorado.edu CONTACT Contact: americas.nlp.workshop(a)gmail.com Website: https://turing.iimas.unam.mx/americasnlp/

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[Deadline Extension] 3rd Call for papers: NLPerspectives – The 5th Workshop on Perspectivist Approaches to NLP
by s.frenda＠hw.ac.uk 16 Feb '26

16 Feb '26

The 5th Workshop on Perspectivist Approaches to NLP Collocated with LREC in Palma de Mallorca https://nlperspectives.di.unito.it/ Important Dates * March 2: Paper submission * March 20: Notification of acceptance * March 30: Camera-ready papers due * May 12, 2026: NLPerspectives workshop at LREC NLPerspectives Until recently, language resources supporting many tasks in Natural Language Processing (NLP) and other areas of Artificial Intelligence (AI) have been based on the assumption of a single ‘ground truth’ label sought via aggregation, adjudication, or statistical means. However, the field is increasingly focused on subjective and controversial tasks, such as quality estimation or abuse detection, in which multiple points of view may be equally valid (for a complete overview see Frenda et al., 2024). Data Perspectivism is a proposed solution to deal with subjectivity (Cabitza et al., 2023). Perspectivist approaches leverage human label variation (Plank, 2022; Sorensen et al., 2024) to better account for user diversity (Prabhakaran et al., 2021) and adopt evaluation strategies capable of embracing disagreement (Uma et al., 2021, Lo et al., 2025, Leonardelli et al., 2025). In the previous editions of the workshop, different aspects of perspectivist NLP were discussed, including ties to participatory design, personalisation, computer vision, and multimedia research and multicultural awareness in modelling. The fifth edition of the workshop will widen the discussed methodology to include not only current and ongoing work on collecting non-aggregated datasets, mining and modelling perspectives, but also approaches to evaluation of perspectivist models, looking in particular at their application in real-world scenarios. In addition, it will involve techniques from social science and Human-Computer Interaction, such as participatory approaches and how they can be implemented at all stages of the supervised learning pipeline. The NLPerspectives workshop will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC) held at the Palau de Congressos de Palma in Palma de Mallorca, Spain, on 11-16 May 2026. Submissions When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). In addition, authors will be required to adhere to ethical research policies on AI and should include an ethics statement in their papers. The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of the LREC conference. Templates are provided here. We accept three types of submissions: Regular research papers; Non-archival submissions: like research papers, but will not be included in the proceedings; (Non-archival) research communications: 1-page abstracts summarising relevant research published elsewhere. NLPerspectives will also accept submissions that have been rejected from ACL rolling review, provided they are accompanied by their reviews, and they fit the topic of the workshop. Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 1 pages of content. Please make submissions at https://softconf.com/lrec2026/NLPerspectives Topics We invite original research papers from a wide range of topics, including but not limited to: Non-aggregated data collection and annotation frameworks Descriptions of corpora collected under the perspectivist paradigm Multi-perspective Modelling and Machine Learning Evaluation of multi-perspective or disagreement aware models Multi-perspective disagreement as applied to NLP evaluation Fairness and inclusive modelling Perspectivist approaches for social good Applications of multi-perspective modelling Computing with (dis)agreement Perspectivist Natural Language Generation Perspectivism in multimodal AI Foundational aspects of perspectivism Participatory approaches and human label variation Opinion pieces and reviews on perspectivist approaches to NLP Capabilities of Perspectivist Models in Real-World Systems Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance The workshop will follow the attendance policy of the main conference. Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, Northeastern University Simona Frenda, Heriot-Watt University Elisa Leonardelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk if you have any questions. Website: https://nlperspectives.di.unito.it/

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Third CfP: The 2nd Workshop on Language-driven Deliberation Technology (DELITE) at LREC 2026 (deadline extension)
by Neele Falk 16 Feb '26

16 Feb '26

----------------------------------------------------------- Third Call for Papers: DELITE 2026 The 2nd Workshop on Language-driven Deliberation Technology Co-located with LREC 2026, Palma, Mallorca (Spain) ----------------------------------------------------------- OVERVIEW -------- Deliberation is ubiquitous: from navigating divergent interests in everyday personal life to reaching consensus in the political decision making process, deliberation describes the communicative process by which a group of people exchange ideas, weigh different arguments, and ultimately reach mutual understanding. In recent years, deliberative processes have gained momentum and shown to improve everyday and political decision-making. For the first time, technological solutions are maturing to the point that they can be deployed to support deliberation. The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes. The topic is particularly timely in the age of LLMs and collective intelligence, which has heightened the awareness of the public to the potentials and drawbacks of language technology. While LLMs are transforming the way that much AI research is carried out, it is becoming clear that handling natural argumentation, particularly the sort of discussion found in deliberative settings, presents deep challenges for LLMs that are not likely to be overcome soon. The complex pragmatic structure of such discussions, the subjectivity of the phenomena involved (emotions, storytelling), nuanced presentation, framing and reframing of ideas, and resolution of differences of opinion all lay many orders of magnitude beyond the current parameterization spaces of such models. We view deliberation as an exercise in Collective Intelligence—the enhanced capacity of groups to make decisions due to collaboration and structured interaction. AI systems should augment and never replace human deliberation, by supporting facilitators, providing discussion summaries, and amplify/enact diversity in group decision making processes. TOPICS OF INTEREST ------------------ We welcome submissions that address the gaps facing this nascent field, including the scarcity of data on large-scale deliberation, the need for stakeholder requirements, and the need for technology that fosters trust. Topics include, but are not limited to: * Deliberation theory in NLP models * In-domain versus across domain resources * Integrating language systems into deliberation processes and interfaces * Technological solutions for online deliberation at scale * Argument mining for deliberation scenarios * Visualizing language systems results for human sensemaking * Empirical foundations for evaluation * Integrating and reflecting on recent advances in LLMs for deliberation scenarios * Collective Intelligence frameworks for deliberation at scale * Human-AI collaboration in group decision-making * Explainability, ethical questions, and addressing bias APPLICATION AREAS ----------------- We welcome submissions from all areas of application, including public policy making, democratic innovations, deliberative democracy, political decision making, citizen engagement and co-creation, intelligence services and military, conflict resolution/mitigation, case analysis in healthcare, legal decision making, and scholarly discourse. SUBMISSION ---------- DELITE 2026 introduces new submission formats to foster diversity and inclusion, specifically opening the venue to junior researchers and fields where conference papers are not standard (e.g., Social Sciences). * Standard Papers: Oral and poster presentations of long and short papers. * Extended Abstracts (non-archival): A new format designed to be inclusive of researchers from fields where conference papers are not standard (e.g., Social Sciences). * PhD Project Proposals: A non-archival submission option allowing doctoral students to collect feedback on their research plans without the pressure of a full-fledged publication. * Non-Archival Reports: Poster presentations of non-archival reports of ongoing projects to serve community building. Standard papers must describe original (completed or in progress) and unpublished work. These papers can be long (8 pages, excluding references) or short (4 pages, excluding references) and must be anonymized to support double-blind reviewing, i.e., they must not include authors’ names and affiliations and should avoid links to non-anonymized repositories. Standard papers that do not conform to these requirements will be rejected without review. Extended abstracts and non-archival papers must be at most 2 pages, excluding references and an additional page as an appendix for tables/figures. Submission of all papers is electronic, using the Softconf START conference management system. Papers must follow the LREC 2026 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Submission link:https://softconf.com/lrec2026/DELITE2026/ The LRE 2026 Map and the "Share your LRs!" initiative ------------------------------------------------------ When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones)". IMPORTANT DATES --------------------- * Archival paper submission: 27 February 2026 (extension) * Non-archival paper submission: 2 March 2026 * Notification of acceptance: 16 March 2026 * Camera-ready: 30 March 2026 * Workshop day: 16 May 2026 WORKSHOP ORGANIZERS ------------------- * Lucas Anastasiou, The Open University, UK * Katarina Boland, Heinrich Heine University Düsseldorf, Germany * Anna De Liddo, The Open University, UK * Neele Falk, University of Stuttgart, Germany * Annette Hautli-Janisz, University of Passau, Germany * Gabriella Lapesa, GESIS Leibniz Institute for the Social Sciences, Germany & Heinrich-Heine University of Düsseldorf, Germany * Julia Romberg, GESIS Leibniz Institute for the Social Sciences, Germany CONTACT --------------------- e-mail:lucas.anastasiou@open.ac.ukwebsite:https://idea.kmi.open.ac.uk/the-2nd-workshop-on-language-driven-deliberation-technology/ ---------------------

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Final Call for Papers: 6th RaPID@MENTAL.ai @ LREC-2026
by Dimitrios Kokkinakis 16 Feb '26

16 Feb '26

Final Call for Papers: The 6th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" in collaboration with the MENTAL.ai -consortium Workshop: co-located with LREC 2026 | Palma de Mallorca, Spain | May 12th, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. Submission deadline: Sun., 22nd of February, 2026 (anywhere on earth) Paper submission: https://softconf.com/lrec2026/RaPID-6/ Invited speakers: Brian MacWhinney, Carnegie Mellon University, USA and Sunny X. Tang, MD, Feinstein Institutes for Medical Research, Northwell Health, USA Website and details: https://spraakbanken.gu.se/rapid-2026 Contact: Dimitrios Kokkinakis Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se> Organizing committee: * Dimitrios Kokkinakis, University of Gothenburg, Sweden * Charalambos Themistocleous, University of Oslo, Norway * Gaël Dias, University of Caen Normandie, France * Kathleen C. Fraser, University of Ottawa, Canada * Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden * Sebastião Pais, University of Beira Interior, Portugal

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Final Call for Papers: Workshop on Structured Linguistic Data and Evaluation (LREC 2026)
by Thorsten Trippel 16 Feb '26

16 Feb '26

Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at LREC 2026, 11-16 May 2026, Palma, Mallorca (Spain) In the last ten years, significant advances in deep learning models and the development of Large Language Models (LLMs) have revolutionized the fields of computational linguistics (CL) and natural language processing (NLP). In turn, this has led to a complete re-assessment of the language resources and evaluation practices necessary for training LLMs and analyzing their outputs. In particular, the availability of very large amounts of unstructured data for training foundational models has come into focus, while the value of high-quality structured linguistic data with rich annotations at various levels of linguistic analysis has been downplayed by comparison. However, as CL and NLP practitioners engage further with LLMs and debate their strengths and weaknesses, the importance of high-quality, structured linguistic data has been re-emphasized. The proposed workshop can be seen as related to the Treebanks and Linguistic Theories (TLT) conference series and the more recent SyntaxFest venue. Over the years, these venues have provided a central forum for high-quality research on treebanks, syntactic theory, syntax-semantics interface, structured meaning representations, and annotated linguistic resources. With record participation in recent years, they demonstrate the vitality and relevance of this line of work. The Workshop on Structured Linguistic Data is conceived as both a continuation of this tradition and an adaptation to the new realities of an LLM-dominated research landscape. The workshop will bring together researchers from these overlapping traditions to advance methods, resources, and practices for integrating structured linguistic data into the LLM era. Topics of interest include but are not limited to: Linguistic Data Analyses, Language Resources, and Evaluation Grammar processing with NLP and LLM-based tools Phonological and morphological analysis and LLM tokenization Annotation strategies with LLM-empowered methodologies and tools Design principles and annotation schemes for structured linguistic data Multi-lingual and cross-lingual settings Mapping of structured linguistic data to Linked Open Data resources Evaluation informed by language typology Language resources for under-resourced and endangered languages The use of structured linguistic data for NLP applications The use of structured linguistic data in acquiring linguistic knowledge (Semi-)automatic methods for creating structured linguistic data Spoken language Data Speech-to-text applications Speech Generation techniques Speech data preparation, curation and evaluation Multimodality and Situated Dialogue Structured multimodal resources: gesture AMR (GAMR), gaze and posture annotation, multimodal dialogue corpora. Multimodal grounding: linking language with visual, gestural, and action representations Structured representations for co-attention and alignment in multiparty dialogue Multimodal evaluation resources for LLMs Pragmatics and Discourse Structured data for discourse and dialogue: discourse relation annotation, coherence structures, dialogue acts Pragmatic annotation (speech acts, presupposition, implicature, politeness, stance) Structured approaches to common ground tracking and Theory of Mind in LLMs Semantics and Lexical Meaning Dependency analysis and semantic parsing Annotation beyond syntax: semantics, pragmatics and discourse Structured data for lexical semantics: sense inventories, semantic frames, qualia structure, and type-theoretic resources Computational semantics resources: Abstract Meaning Representation (AMR), Universal Meaning Representation (UMR), Discourse, Representation Structures, Minimal Recursion Semantics (MRS), Type Theory with Records (TTR) Distributional and neural-symbolic representations of lexical meaning: (e.g., Holographic Reduced Representations (HRR), hyperdimensional computing) for structured LLM grounding Aligning vector-based meaning representations with symbolic/typed structures We invite paper submissions in two distinct tracks: regular papers on substantial and original research, including empirical evaluation results, where appropriate – 6 to 8 pages excluding references and potential ethics statements; short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces – 4 to 6 pages excluding references and potential ethics statements. Invited speakers Naiara Perez (University of the Basque Country) Shira Wein (Amherst College) Paper Submission and Templates Submission follows the LREC 2026 conference instructions, using the START conference management system. Submissions should follow the LREC stylesheet, available on the conference website on the Author’s kit page. For more information about paper submission, please consult: https://www.slide-workshop.org/ Papers must be anonymized to support double-blind reviewing. Important Dates February 22, 2026: Paper submission deadline March 15, 2026: Notification of acceptance March 25, 2026: Camera-ready papers May 2026: Workshop at LREC 2026 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Workshop Organizers Jan Hajič (Charles University, Czech Republic) Erhard Hinrichs (Tübingen University, Germany) Sandra Kübler (Indiana University, USA) Joakim Nivre (Uppsala University, Sweden) Petya Osenova (Sofia University and IICT-BAS, Bulgaria) James Pustejovsky (Brandeis University, USA)

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