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Call for workshop papers and Shared Task participation: the 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026) (formerly CASE) @ ACL 2026
by Ali Hurriyetoglu 11 Dec '25

11 Dec '25

Call for workshop papers and Shared Task participation: The 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026) (formerly CASE) @ ACL 2026 Also, this year the EEUCA workshop continues the tradition of the eight previous editions of our workshop on challenges and applications of event extraction. Paper submission deadline: March 16, 2026 Pre-reviewed ARR commitment deadline: April 15, 2026 Notification of acceptance: April 28, 2026 Camera-ready paper due: May 12, 2026 Pre-recorded video due (hard deadline): June 4, 2026 Shared tasks and shared task papers: Start of the Competition: Dec 10, 2025 Eval Phase Start: Dec 10, 2025 Test Phase Start: Jan 15, 2026 Test Phase End: March 15, 2026 Paper Submission Deadline: March 28, 2026 Notification of acceptance: April 28, 2026 Camera-ready paper due: May 12, 2026 We invite work on all aspects of automated coding and analysis of events from mono- or multi-lingual text sources. This includes (but is not limited to) the following topics 1) Extracting events and their arguments in and beyond a sentence or document, event coreference resolution. 2) New datasets, training data collection and annotation for event information. 3) Event-event relations, e.g., subevents, main events, spatiotemporal relations, causal relations. 4) Event dataset evaluation in light of reliability and validity metrics. 5) Defining, populating, and facilitating event schemas and ontologies. 6) Automated tools and pipelines for event collection related tasks. 7) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 8) Methodologies for development, evaluation, and analysis of event datasets. 9) Applications of event databases, e.g. early warning, conflict prediction, and policymaking. 10) Estimating what is missing in event datasets using internal and external information. 11) Detection of new event types, e.g. creative protests, cyber activism, COVID-19 related, terrorism, food safety, food security, climate change, extreme weather events, disasters. 12) Release of new event datasets, 13) Bias and fairness of the sources and event datasets. 14) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 15) Copyright issues on event dataset creation, dissemination, and sharing. 16) Cross-lingual, multilingual, and multimodal aspects in event analysis. 17) Exploiting LLMs in Event Extraction. 18) Generative AI and event reports: detecting AI-generated news, exploiting generative AI for creating event corpora, etc. Shared Task 1: Multimodal Identification of Vaccine Critical Content on Social Media This shared task focuses on detecting vaccine-critical stance in multimodal social media memes. Using the VaxMeme dataset of over 10,000 annotated memes, participants will develop models that jointly leverage visual and textual signals to classify a meme’s stance as pro-vaccine, vaccine-critical, or neutral. The task encourages research on cross-modal understanding, sarcasm, implicit messaging, and misinformation dynamics in public health discourse. External data and transfer learning are permitted, and submissions will be evaluated using macro-F1. All system description papers will be published in the ACL Anthology. Learn More: https://github.com/therealthapa/eeuca-vaccine Shared Task 2: Understanding Toxic Behavioral Intent in Gaming Chat Logs for Healthy Online Interaction This shared task tackles intent-level toxicity detection in online gaming communities using the GameTox dataset of 53,000 annotated chat utterances from World of Tanks. Participants will develop models that classify a player’s message into six fine-grained intent categories, including hate, threats, insults, extremism, and non-toxic communication. The challenge highlights contextual nuance, gaming slang, implicit aggression, and varied severity levels of toxicity. External datasets are allowed, and submissions are evaluated using macro-F1. All system description papers will be published in the ACL Anthology. Learn More: https://github.com/therealthapa/eeuca-toxicity Keep an eye on the workshop page that is being updated: https://emw.ku.edu.tr/workshops/eeuca-2026/ and contact us for any inquiries (submission, collaboration, contribution, or just saying Hi :) ). EEUCA Organization Committee

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Cfp: The 2nd Workshop on Language-driven Deliberation Technology (DELITE 2026)
by Neele Falk 11 Dec '25

11 Dec '25

----------------------------------------------------------- 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: 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. 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: 19 February 2026 * Non-archival paper submission: 2 March 2026 * Notification of acceptance: 16 March 2026 * Camera-ready: 30 March 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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CfP: Social Context (SoCon) and Integrating NLP and Psychology to Study Social Interactions (NLPSI)
by Neele Falk 11 Dec '25

11 Dec '25

Joint Call for Papers Social Context (SoCon) and Integrating NLP and Psychology to Study Social Interactions (NLPSI) SoCon and NLPSI will be co-located with the 15th Conference on Language Resources and Evaluation (LREC 2026), held in Palau de Congressos de Palma, Palma de Mallorca, Spain, on 11–16 May 2026. Workshop day: May 12, 2026 Deadline for paper submission: February 16, 2026 Website:https://socon-nlpsi.github.io<https://socon-nlpsi.github.io/> Contact:socon-nlpsi-workshop-organizers.nlproc@uni-bamberg.de Overview Natural Language Processing has evolved significantly, enabling the modeling of high-level aspects of human communication. Relevant topics include pragmatics, social dynamics, and the integration of social context to better understand communicative intent. The SoCon and NLPSI workshops share a focus on the social dimensions of communication, while addressing distinct challenges. The Social Context Workshop explores how context shapes language use, seeking interdisciplinary collaboration across NLP, Pragmatics, Sociolinguistics, and Sociology. It aims to develop shared terminology and promote community-centered approaches as alternatives to traditional crowdsourcing. The NLPSI Workshop focuses on psychological processes shaping human communication, including how individuals perceive, process, and produce language. It welcomes interdisciplinary work from NLP, Social Psychology, and Affective Computing, with an emphasis on large-scale studies. This joint Call for Papers contains two tracks, SoCon and NLPSI. Authors should choose the track that best matches their contribution. SoCon Track "Towards Responsibly Infusing NLP with Social Context, Community Meanings, and Pragmatics Through Interdisciplinary NLP Efforts." Topics include, but are not limited to: * Interdisciplinary methods for modeling context, integrating NLP with pragmatics and social sciences * Studying social communities and how to engage with communities of practice and speech communities * Ethical challenges in resource creation, including participatory design involving relevant communities * Explaining behaviors in social interactions through models of social attitudes shaped by backgrounds, contexts, and triggering events Contact for SoCon track:social-context-workshop@googlegroups.com NLPSI Track "Bridging the gap between NLP and psychological insights to foster a deeper understanding of social interactions." Topics include, but are not limited to: * Psychological constructs (beliefs, motives, feelings, affect, personality) * Psychological studies, especially those focused on interaction * Communication patterns such as empathy, persuasion, and conflict resolution * The role of emotions in interpersonal communication, such as emotion contagion and interpersonal emotion regulation Contact for NLPSI track:nlpsi-workshop-organizers.nlproc@uni-bamberg.de Submission Types * Long papers (up to 8 pages) presenting original research, from preliminary to established contributions * Short papers (up to 4 pages) presenting emerging ideas or early-stage research Submission Guidelines Submissions will be double-blind reviewed. Papers must follow the LREC templates (LaTeX, Word, Open Office, Overleaf). Page limits apply only to the main content; limitations, ethics, acknowledgements, references, and appendices do not count. Submission via Softconf. Authors must indicate resources used or created (data, tools, technologies, evaluation kits). ELRA encourages sharing of language resources to support reuse and replicability. Authors must follow ethical AI research policies and include an ethics statement. Workshop Format The workshop follows LREC’s attendance policy. It will be a full-day hybrid event with keynotes and paper presentations (oral and lightning talks). Important Dates Paper submission deadline: February 16, 2026 Notification of acceptance: March 23, 2026 Camera-ready deadline: March 30, 2026 Workshop day: May 12, 2026 Organizers SoCon Marco Antonio Stranisci, Turin University Soda Marem Lo, Turin University Sabine Weber, Bamberg University Rossana Damiano, Turin University Simona Frenda, Heriot-Watt University Roman Klinger, University of Bamberg Viviana Patti, Turin University Marteen Sap, Carnegie Mellon University Seid Muhie Yimam, University of Hamburg NLPSI Aswathy Velutharambath, University of Bamberg Sofie Labat, Ghent University Neele Falk, University of Stuttgart Flor Miriam Plaza-del-Arco, Bocconi University Roman Klinger, University of Bamberg Véronique Hoste, Ghent University Bennett Kleinberg, Tilburg University

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[EACL WASSA Workshop] 15th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2026) – 3rd and final Call for Papers
by Roman Klinger 11 Dec '25

11 Dec '25

*15th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2026) – 3rd and Final Call for Papers* *EACL’26, March 24–29, 2026, Rabat, Morocco, Half Day Workshop* *Background and Envisaged Scope* *Subjectivity and Sentiment Analysis has become a highly developed research area, ranging from binary classification of reviews to the detection of complex emotion structures between entities found in text. This field has expanded both on a practical level, finding numerous successful applications in business, as well as on a theoretical level, allowing researchers to explore more complex research questions related to affective computing. Its continuing importance is also shown by the interest it generates in other disciplines such as Economics, Sociology, Psychology, Marketing, Crisis Management & Digital Humanities, where it can support the study of online interactions, group dynamics, and public discourse.* *The aim of WASSA 2026 is to bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis, social media mining, computational literary studies) and researchers working on interdisciplinary aspects of affect computation from text. We encourage the submission of long and short research and demo papers including, but not restricted to the following topics:* * *Resources for subjectivity, sentiment, emotion and social media analysis* * *Opinion retrieval, extraction, categorization, aggregation and summarization* * *Humor, Irony and Sarcasm detection* * *Mis- and disinformation analysis and the role of affective attributes* * *Aspect and topic-based sentiment and emotion analysis* * *Analysis of stable traits of social media users, incl. personality analysis and profiling* * *Transfer learning for domain, language and genre portability of sentiment analysis* * *Modelling commonsense knowledge for subjectivity, sentiment or emotion analysis* * *Improvement of NLP tasks using subjectivity and/or sentiment analysis* * *Intrinsic and extrinsic evaluation of subjectivity and/or sentiment analysis* * *Application of theories from related fields to subjectivity and sentiment analysis* * *Multimodal emotion detection and classification* * *Social Groups analysis and their interactions in Social Media* * *Generation, detection, and evaluation of subjectivity, sentiment, and emotion in NLP tasks with LLMs* * *Risks, challenges, and ethical implications of affective uses of LLMs* * *The role of emotions in argument mining* * *Applications of sentiment and emotion mining* * *Public sentiments and communication patterns of public health emergencies.* * *The analysis of pretrained small and large language models.* *Finally, this year we also propose a special trackon multilinguality and socio-cultural adaptation to lesser-resourced languages/communities. * *In general, we particularly invite contributions from young researchers, work on low-resource languages, multilingual methods, and interdisciplinary work.* *Important dates* * *December 17, 2025: Direct submission deadline* * *January 2, 2026: ARR submission deadline* * *January 23, 2026: Notification of acceptance* * *February 3, 2026: Camera Ready Papers due* * *March 24–29, 2026: EACL with WASSA workshop on one of the days.* *Shared tasks* *We do not offer a shared task this year.* *Papers* *At WASSA 2026, we will accept three types of submissions:* *For the regular research track we accept long& shortpapers.* *Additionally, we accept double submissions and double commitment of ARR reviews in parallel to WASSA and another venue. Please note that you must immediately withdraw your paper from WASSA if you decide to publish it elsewhere. Check with the other venue if they also allow double submissions.* *Longpapers may consist of up to eight (8) pages of content, with any number of additional pages of references. A- subset of these papers will be presented orally.* *Shortpapers may consist of up to four (4) pages of content, with any number of additional pages of references. Most of these papers will be presented as posters.* *Also this year there is an industry track, for which we accept demo papers. Demo papersdescribe system demonstrations, ranging from early prototypes to mature production-ready systems. Commercial sales and marketing activities are not appropriate for this track. Demo papers may consist of up to six (6) pages of content, these will be presented as a poster and should include a live demonstration.* *Submission procedure and templates* *Submissions without reviews can be done directly through our Open Review side (https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/WASSA).* *Authors who received reviews already through the ACL Rolling Review process are invited to commit their reviewed paper to WASSA. To do so, please go to our ARR Website and click on “ACL 2026 Workshop WASSA Commitment Submission”. You will then need to add the title, the URL to the ARR submission with reviews + metareview, and other information.* *Both long and short papers must be anonymised for double-blind reviewing, must follow the ACL Author Guidelines <https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>, and must use the ACL templates (https://github.com/acl-org/acl-style-files). The submitting author must have an OpenReview profile* *Optional Supplementary Materials: Appendices, Software and Data* *ARR encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. Supplementary materials may include appendices, software or data. For example, pre processing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into appendices. However, if the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in appendices. Reviewers are not required to consider material in appendices. Appendices should come after the references in the submitted pdf, but do not count towards the page limit. Software should be submitted as a single .tgz or .zip archive, and data as a separate single .tgz or .zip archive. Supplementary materials must be fully anonymized to preserve the two-way anonymized reviewing policy and must not exceed 100MB.* *Organizers* * Jeremy Barnes, University of the Basque Country Valentin Barriere, University of Chile Orphée De Clercq, Ghent University Roman Klinger, University of Bamberg Célia Nouri, Inria and Sciences Po Debora Nozza, Bocconi University Pranaydeep Singh, Ghent University Contact Email: wassaworkshop(a)gmail.com Website: https://workshop-wassa.github.io/ * -- Prof. Dr. Roman Klinger (he/him) Professor for Fundamentals of Natural Language Processing Faculty Information Systems and Applied Computer Sciences (WIAI) Otto-Friedrich-University Bamberg Office: Room 02.10; Gutenbergstr. 13; 96050 Bamberg; Germany Phone: +49 951 863 3320 Mail:roman.klinger@uni-bamberg.de WWW: https://www.uni-bamberg.de/nlproc/ https://www.romanklinger.de/

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CFP: 3rd Int. Workshop on Natural Scientific Language Processing (NSLP) 2026
by Georg Rehm 11 Dec '25

11 Dec '25

3rd International Workshop on Natural Scientific Language Processing (NSLP 2026) 12 May 2026 – Co-located with LREC 2026 Palma, Mallorca (Spain) NSLP 2026 features three shared tasks: * ClimateCheck 2026: Scientific Fact-Checking of Social Media Claims * SciVQA 2026: Scientific Visual Question Answering * 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 (Softconf) – link to be provided soon. 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 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 SciVQA 2026: Scientific Visual Question Answering Scientific papers communicate information through unstructured text as well as (semi-)structured figures and tables. Jointly reasoning over both modalities benefits downstream applications such as visual question answering (VQA). SciVQA 2026 builds on the insights from SciVQA 2025 (run at SDP 2025/ACL 2025), shifting the focus toward evaluating the ability of multimodal LLMs to reason over combined modalities (figures, tables, text). SciVQA 2026 will include a new set of papers and entirely new annotations, featuring two subtasks: Subtask 1: Context retrieval: Given a question, a paper, and its corpus of paragraphs and images, retrieve the relevant context (tables, figures, paragraphs from the main text) required to answer it. Subtask 2: Answer generation: Given a question and the context retrieved from the first task, generate an answer. Shared task co-organisers: Ekaterina Borisova, Georg Rehm 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> * 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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[CFP] The 20th Linguistic Annotation Workshop
by ACL Announcements 11 Dec '25

11 Dec '25

CALL FOR PAPERS: THE 20TH LINGUISTIC ANNOTATION WORKSHOP (LAW-XX) Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. LAW-XX will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised "human in the loop" methods of annotation, crowd-sourcing approaches, and more. LAW-XX will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. SPECIAL THEME: ERRORS IN ANNOTATION The special theme of LAW XX is Errors in Annotation. In addition to LAW's general topics, we specifically invite submissions on the matter of addressing annotations which are in some sense objectively incorrect in their substance or omissions (c.f. Klie et al., CL 2023)--distinct from annotator disagreement (Weber-Genzel et al., ACL 2024)--and the role of error analysis in improving data quality for both human-annotated and LLM-generated datasets. As data quality becomes increasingly important (human-annotated or LLM-generated), it is essential to develop techniques or tools to quantify data quality (Swayamdipta et al., EMNLP 2020). Potential topics covered include but are not limited to: * Annotation error detection * Annotation error correction * Error type classification * Error detection and correction in crowd-sourced annotations * Errors in LLM-generated annotations IMPORTANT DATES All submission deadlines are 11:59 p.m. UTC-12:00 ("anywhere on Earth"). * Submission deadline: March 5, 2026 * Pre-reviewed ARR commitment deadline: March 24, 2026 * Notification of acceptance: April 28, 2026 * Camera-ready papers due: May 12, 2026 * Workshop Date: TBD LAW XX will be hybrid, allowing both in-person and virtual presentations. SUBMISSION We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: * Annotation procedures * Innovative automated and manual strategies for annotation * Machine learning and knowledge-based methods for automation of corpus annotation * Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation * Inter-annotator agreement and other evaluation metrics and strategies * Qualitative evaluation of linguistic representations * Innovative means to evaluate annotation quality * Annotation access and use * Representation formats/structures for annotations of different phenomena, especially annotations* at multiple levels, and means to explore/manipulate them * Linguistic considerations for merging annotations of distinct phenomena * Annotation schemes, guidelines and standards * New and innovative annotation schemes, comparison of annotation schemes * Methodologies and resources for annotation scheme development * Best practices for annotation procedures and/or development and documentation of annotation schemes * Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages * Results from the application and evaluation of standards for linguistic annotation * Annotation software and frameworks * Development, evaluation and/or innovative use of annotation software frameworks Direct submission link: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/LAW Pre-reviewed ARR commitment link: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/LAW_ARR_Commit… Note on OpenReview's moderation policy for newly created profiles: * 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. Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop (either in-person or virtually) and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates [1]. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Limitation and ethical consideration sections are optional and do not count against these limits as well. Note: The appendix also does not count against the page limit but should not include essential details needed to understand/review the paper (appendices can contain details such as hyperparameters, formulas, proofs, and tables that are informative but not critical to the understanding of the paper). All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors' identity--e.g., "We previously showed (Chen et al., 2024) …" should be replaced with citations such as "Chen et al. (2024) previously showed …". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop program chairs (law2026workshop(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. Following the ACL and ARR policies [2], there is no anonymity period requirement. PREPARING THE CAMERA-READY VERSION For the final version of your paper, make sure that you remove the "review" option from the latex source file (\usepackage[review]{acl} → \usepackage{acl}). Final versions of accepted papers will be given one additional page of content (up to 9 pages for long papers, up to 5 pages for short papers) to address the reviewers' comments. Please make sure to upload your final paper by May 12, 2026. Submissions uploaded after that date will not be included in the proceedings. If you have any questions, please feel free to contact the program chairs at law2026workshop(a)googlegroups.com. Links: ------ [1] https://github.com/acl-org/acl-style-files [2] https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy

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READIxTSAR @ LREC 2026 - 1st CFP
by Rémi Cardon 11 Dec '25

11 Dec '25

READIxTSAR 2026 Workshop, First Call for Papers May 2026, Palma de Mallorca, Spain https://readixtsar.github.io/ Hosted by LREC 2026 https://lrec2026.info/ READIxTSAR is a joint initiative between two previous workshops of mutual interest: Tools and Resources for REAding DIfficulties (READI, hosted at LREC 2020,22,24) and Text Simplification, Accessibility and Readability (TSAR, EMNLP 2022,24,25, RANLP 2023). This year at LREC, the committees of the two events have merged to deliver a joint event, uniting accessibility research communities under a common umbrella. We aim for READIxTSAR to be a focal point for communities of researchers working on reading difficulties, accessibility and simplification to network, share best practice and form new collaborations. *Motivation and Context* The growth of educational and assistive technologies for reading, aimed at enhancing the performance of individuals with disabilities, provides an important setting for Text Simplification research. The field of special education has had a longstanding interest in technology and the potential it holds for individuals with language/speech disabilities, cognitive disorders, etc. (Edyburn, 2000). This workshop aims to present state-of-the-art applications and approaches in technology-enhanced reading and innovations in text accessibility. The workshop will address specialized technology, tools, and resources, their impact on learning to read and comprehension, and innovative works spanning research to fieldwork, particularly in light of recent AI advances. Research in automatic text simplification has evolved from deep learning methods (Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021) to leveraging foundational large language models (Kew et al. 2023; Cripwell et al. 2023; Farajidizaji et al. 2024) through fine-tuning and prompt-engineering. Despite these advancements, the Text Accessibility and Text Simplification communities must address critical areas, including: designing better evaluation metrics, developing context-aware simplification solutions, creating appropriate language resources, deploying simplification in real-world environments, studying discourse factors, and identifying factors affecting readability. Addressing these issues requires collaboration across CL/NLP, machine learning, UI/UX, accessibility professionals, and public organizations, whom we invite to participate through publication and attendance. *Topics of Interest* The joint event will accept submissions at the intersection of the research areas of the two workshops, as well as submissions that are targeted to the specific research interests of either workshop. An indicative list of topics of interest are listed below. - Lexical, syntactic and discourse adaptations or simplifications; - ATS for sentences, paragraphs, or documents; - Controllable text simplification and text generation of adapted contents; - Measuring and evaluating readability and text complexity; - LLMs and agentic LLMs for text simplification, text adaptation and readability - The role of LLMs in supporting reading - Complex word identification (CWI) and lexical complexity prediction (LCP); - Models, corpora, lexicons for text adaptation and text assessment; - Evaluation of text adaptation or ATS systems; - Meaning representation and multimodal text adaptation; - Educational devices and/or smart technologies for supporting reading and learning; - Domain specific applications of the above topics (e.g. health, legal). *Important Dates* Submission Deadline: 16th February 2026 Notification of Results: 16th March 2026 Camera Ready: 30th March 2026 READIxTSAR Workshop: 11th, 12th or 16th May 2026 *Submission Instructions* We invite submissions on topics of interest between 4 and 8 pages of content. The page limit of 8 pages does not include acknowledgements, references, potential Ethics Statements and discussion on Limitations in line with the policy of the main LREC conference. All submissions must follow the LREC stylesheet (https://lrec2026.info/authors-kit/). All submissions are double-blind. Any submissions which are not-anonymised, over-length, poorly formatted or make excessive use of appendices to circumvent page limits are liable to desk-rejection. At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map (https://lremap.elra.info/), which provides metadata for the resource. As in previous editions for Camera Ready a Plain Summary will be requested. *“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). *Organizing Committee* - Matthew Shardlow, Manchester Metropolitan University, UK - Thomas François, UCLouvain, Belgium - Raquel Amaro, NOVA University Lisbon, Portugal - Jorge Baptista, Universidade do Algarve & INESC-ID Lisboa, Portugal - Rémi Cardon, Universidad Carlos III de Madrid, Spain - Eugénio Ribeiro, Iscte-IUL & INESC-ID Lisboa, Portugal - Regina Stodden, University Bielefeld, Germany - Rodrigo Wilkens, University of Exeter, UK - Horacio Saggion, Universitat Pompeu Fabra, Spain - Amalia Todirascu, Université de Strasbourg, France Contact: readixtsar(a)googlegroups.com

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First Call for Papers: Workshop on Structured Linguistic Data and Evaluation (SLiDE)
by Petya Osenova 10 Dec '25

10 Dec '25

[apologies for cross-postings] Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at <https://lrec2026.info/> LREC 2026<https://lrec2026.info/>, 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. The submission link will be provided as soon as it becomes available. * Submissions should follow the LREC stylesheet, available on the conference website on the <https://lrec2026.info/authors-kit/> Author’s kit<https://lrec2026.info/authors-kit/> page. 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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ParaConc, MonoConc and Collocate
by Michael Barlow 10 Dec '25

10 Dec '25

I am simplifying my life (and taxes). The above Windows software can be downloaded from my website -- michaelbarlow.com Michael --- Michael Barlow. www.michaelbarlow.com<http://www.michaelbarlow.com/> Assoc. Prof. Applied Linguistics, University of Auckland Recent publications M. Barlow. 2023. Writing with an AI Assistant.<https://writingwithanaiassistant.com/> Athelstan. M. Barlow 2023. Ten Lectures on Corpora and Cognitive Linguistics<https://brill.com/display/title/61682>. Brill Le, Pham & Barlow 2023. The Academic Discourse of Mechanical Engineering<https://benjamins.com/catalog/scl.107>. Benjamins

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Gaze4NLP - The Second International Workshop on Gaze Data and Natural Language Processing
by cagri coltekin 10 Dec '25

10 Dec '25

**First Call for Papers** Gaze4NLP - The Second Workshop on Gaze Data and Natural Language Processing May 2026, Palma de Mallorca, Spain (co-located with LREC 2026) The Second Workshop on Gaze Data and Natural Language Processing (Gaze4NLP), co-located with LREC 2026 in Palma de Mallorca, Spain, invites papers of a theoretical or experimental nature describing research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identifying challenges to resolve in the intersection of the two domains: eye tracking and NLP. Gaze4NLP aims to bring together researchers conducting research on eyes on eyes on text and NLP; and establishing bridges between them for identifying future venues of research. Workshop webpage: https://gaze4nlp.github.io/Gaze4NLP2026/ Important Dates Workshop paper submission deadline: 9 February 2026 Workshop paper acceptance notification: 16 March 2026 Workshop paper camera-ready versions: 30 March 2026 Workshop camera-ready proceedings ready: May 2026 Conference: 11-16 May 2026 All deadlines are 11:59PM UTC-12:00 (anywhere on Earth) Topics for the workshop will include, but are not limited to: - Investigating the pillars for bridging the gap between the research on eyes on text and NLP. Study how to expand research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identify challenges, issues to resolve. - Exploring new areas so that both fields benefit from each other better than the past, identifying novel domains of exploration for further research. - Discussing how to develop cognitively inspired models that align human reading data with LLMs. Submissions We solicit regular workshop papers, which will be included in the proceedings as archival publications. All categories of papers may be long (maximum 8 pages of content + up to one page for limitations (required) + unlimited references) or short (maximum 4 pages of content + up to one page for limitations (required) + unlimited references). Accepted papers will be presented in the form of either oral or poster presentations. Please note that camera-ready papers are allowed an additional page. The workshop proceedings will be part of the ACL anthology. Accepted papers will also be given an opportunity with an extended version to be published as part of an edited book. Submissions will be handled via the START Conference Manager. The submission link will be provided on the workshop website as soon as it becomes available. All submissions should follow the LREC style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for LREC: <https://lrec2026.info/authors-kit/>. All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020)”, should be avoided. Instead, use citations such as “Smith (2020) previously showed”. LRE-Map and Sharing Language Resources 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). Organization Committee: Cengiz Acarturk, Jagiellonian University, Poland Jamal Nasir, University of Galway, Ireland Burcu Can, University of Stirling, Scotland, UK Cagri Coltekin, University of Tubingen, Germany

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