January 2026 - Corpora

2nd Call for Papers: LREC 2026 Workshop on Learning Non-Literal Expressions with Small Data (NLE 2026)
by Valia Kordoni 28 Jan '26

28 Jan '26

Workshop on Learning Non-Literal Expressions with Small Data (NLE 2026) To be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11 May 2026. Website: https://sites.google.com/view/nle2026/home Overview Non-Literal Expressions (NLEs) in natural language are a reflection of fundamental cognitive processes such as analogical reasoning and categorisation, and are deeply rooted in everyday communication. NLEs understanding is therefore an essential task for language modeling. This task is especially challenging because it cannot be tackled by falling back on individual word meanings, but requires taking into account larger chunks of surrounding text or even contextual information. At the same time, it is important because the reliable processing of NLEs is relevant for optimizing downstream tasks like translation and summarization. This workshop focuses on understanding of Non-Literal Expressions. While most of the earlier work on NLEs had been devoted to metaphor and metonymy, recent activities target other forms of NLEs as well, e.g., hyperbole (deliberate exaggeration), litotes (understatement), rhetorical questions, and irony. Humanly annotated corpora for NLEs have very recently started becoming available to the research community and may serve as the basis for data-driven approaches to NLEs processing, with the interrelated goals of first identifying and then interpreting such expressions. Such data is mostly of high linguistic quality, but still very limited in size. Thus, the workshop’s focus is on adaptation of Language Models (LMs) and Deep Learning (DL) for processing of Non-Literal Expressions with limited high-quality data, since such constructs still pose big identification and processing challenges in natural language analysis tasks. Topics of Interest We are interested in contributions which focus on the use of techniques like self-training for leveraging unlabelled data, as well as in work that focuses on the incorporation of external linguistic resources and knowledge injection to enrich features, and also in research that describes work on utilisation of multitask learning with the aim to benefit from related tasks. The workshop also wants to discuss alternative approaches which may elaborate on the use of pre-trained Language Models (LMs) as a foundation and the application of techniques like contrastive learning and clustering to identify challenging examples within the data, the ultimate aim of the workshop being to highlight the necessity of high-quality data, as well as cross-lingual datasets. Invited Speakers - Barbara Plank, LMU Munich - Debanjan Ghosh, Princeton, USA Further details and info on the invited talks will be announced shortly. Submission Guidelines Papers must be submitted electronically through Softconf, using the following link: https://softconf.com/lrec2026/NLE2026/ Submissions should: • Be 4–8 pages, excluding references and optional Ethics Statements • Follow the LREC 2026 style guidelines, available on the conference website: https://lrec2026.info/authors-kit/ • Use templates provided here: https://lrec2026.info/calls/second-call-for-papers/ Authors will be asked to supply information on any language resources (broadly defined — data, tools, standards, evaluation sets, etc.) used in or resulting from their work. ELRA strongly encourages sharing such resources to support reproducibility and reuse. Accepted papers will appear in the workshop proceedings. Presentation format (oral/poster) will be based solely on how best to communicate the work. Important Dates • 20 February 2026 — Submission Deadline • 11 March 2026 — Notification of Acceptance • 28 March 2026 — Camera-ready Papers Due Endorsements The workshop is endorsed by: Collaborative Research Centre 1412 "REGISTER" funded by the DFG Deutsche Forschungsgemeinschaft (German Research Foundation) Programme Committee - Beata Beigman Klebanov, ETS, USA - Maria Berger, Ruhr-Universität Bochum, Germany - Yuri Bizzoni, Aarhus University, Denmark - Kenneth Church, VecML Inc., USA - Stefanie Dipper, Ruhr-Universität Bochum, Germany - Markus Egg, Humboldt-Universität zu Berlin, Germany - Anna Feldman, Montclair State University, USA - Debanjan Ghosh, Princeton, USA - Valia Kordoni, Humboldt-Universität zu Berlin, Germany - Emmy Liu, CMU, USA - Petya Osenova, Sofia University “St. Kl. Ohridski”, Bulgaria - Sebastian Padó, IMS Stuttgart, Germany - Gudrun Reijnierse, Vrije Universiteit Amsterdam, The Netherlands - Sebastian Reimann, Ruhr-Universität Bochum, Germany - Adam Roussel, Ruhr-Universität Bochum, Germany - Tatjana Scheffler, Ruhr-Universität Bochum, Germany - Vered Shwartz, The University of British Columbia, Canada - Caroline Sporleder, Georg-August-Universität Göttingen, Germany - Egon Stemle, EURAC, Italy Organizers • Markus Egg — Humboldt-Universität zu Berlin, Germany • Valia Kordoni - Humboldt-Universität zu Berlin, Germany Contact: kordonie at rz.hu-berlin.de

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Postdoctoral and PhD Opportunities (University of Vienna)
by Benjamin Roth 28 Jan '26

28 Jan '26

Postdoctoral and PhD Opportunities in NLP, Explainable AI & Digital Humanities University of Vienna — Deadline: 2 March 2026 The University of Vienna is currently advertising postdoctoral and doctoral positions across multiple faculties. Within two of these calls, I am available as host / supervisor for projects in NLP, explainable AI, and language-centered AI research. Selection is carried out by independent committees. (A) Postdoctoral positions — E-STEEM Programme (STEM faculties) Deadline: 2 March 2026 Eligibility: Women applicants only (programme rule) Within the university-wide E-STEEM programme, I am available as a host for postdoctoral projects in Natural Language Processing and Explainable AI, with a focus on interpretability, human-centered evaluation, and responsible language technologies. A typical candidate profile would include prior publications in leading NLP venues (e.g. ACL, EMNLP, NAACL or closely related conferences). Projects hosted in my group would be embedded in an active NLP research environment with strong mentorship, modern compute infrastructure, and support for developing an independent research profile. Programme information (Faculty of Computer Science): https://careers.univie.ac.at/en/postdoc/e-steem/faculty-of-computer-science Pre-application contact: nlp.datamining(a)univie.ac.at (subject: E-STEEM – pre-application inquiry) (B) PhD positions — Philological & Cultural Studies Deadline: 2 March 2026 The Faculty of Philological and Cultural Studies is advertising doctoral positions within its humanities-focused doctoral programmes. Within this call, I am available to supervise PhD projects in Philological and Cultural Studies that draw on methods from linguistics, Digital Humanities, and AI. Possible project directions, where there is thematic overlap with my research, include explainability of AI systems, linguistic and human-centered perspectives on language technologies, and computational approaches to cultural and historical language data. Programme information: https://careers.univie.ac.at/en/praedoc/praedoc-ssh/ds-of-philological-and-… Pre-application contact: nlp.datamining(a)univie.ac.at (subject: PhD PhilKult – pre-application inquiry) About me / research context: https://www.benjaminroth.net/ -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth(a)univie.ac.at tel: +43 14277 79513 virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09 web: https://dm.cs.univie.ac.at/team/person/112089/

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3rd CfP and Deadline Extension: OSACT 7 Workshop @ LREC 2026
by Saad Ezzini 28 Jan '26

28 Jan '26

OSACT 2026 Workshop, Third Call for Papers 11 May 2026, Palma de Mallorca, Spain https://osact-lrec.github.io Hosted by LREC 2026 https://lrec2026.info/ Workshop Description The Open-Source Arabic Corpora and Processing Tools (OSACT) workshop series provides a forum for researchers, practitioners, and students in computational linguistics (CL), natural language processing (NLP), and information retrieval (IR) to share and discuss ongoing work on Arabic language resources and technologies. While Arabic remains comparatively resource-poor in relation to English, recent years have seen the emergence of large, freely available classical and Modern Standard Arabic (MSA) corpora, as well as dialectical corpora and processing tools. Now in its seventh edition, OSACT7 takes an important step forward by celebrating this milestone with seven shared tasks, each addressing timely challenges in Arabic NLP and reflecting broader themes relevant to NLP research in general. OSACT7 builds on its long-standing commitment to open-source contributions that advance accessibility, reproducibility, and fairness, and this year it places inclusivity at the heart of its mission. A key focus is to recognize and support minority dialects and underrepresented varieties of Arabic, ensuring that diverse linguistic voices and resources are not only acknowledged but actively valued within the community. The workshop will cover general topics in CL, NLP, and IR, with special emphasis on Large Language Models (LLMs) and Generative AI, including pre-trained Arabic language models, corpus design and evaluation, and annotated corpora for tasks such as named entity recognition, machine translation, sentiment analysis, and text classification. Additional areas of focus include crowdsourcing for data annotation, tools for language education, tokenization, normalisation, morphological analysis, part-of-speech tagging, dialect identification and translation, fake news detection, and web and social media analytics. Methodologies for resource creation and annotation, knowledge extraction, ontologies, terminology, knowledge representation, and integration with the Semantic Web (e.g. Linked Data, Knowledge Graphs) will also be explored. Workshop Topics The workshop welcomes (including but not limited to) topics in the following areas: A) Language Resources: · Pre-trained Arabic language models. · Surveys and evaluations of existing Arabic corpora and their associated processing tools. · Development and release of new annotated corpora for NLP and IR tasks such as named entity recognition, machine translation, sentiment analysis, text classification, and language learning. · Assessing the effectiveness of crowdsourcing platforms for Arabic data annotation. · Arabic text and speech processing toolkits. B) Tools and Technologies: · Language education, including first (L1) and second (L2) language learning applications. · Pre-training & fine-tuning approaches for Arabic. · Tokenization, normalisation, segmentation, morphology, and POS tagging. · Sentiment analysis, dialect ID, \& classification. · Web and social media analytics. · Arabic LRs for text, speech, sign, gesture, image, & multimodal data. · Best practices for LR interoperability. · Construction and annotation of LRs. · Knowledge extraction, acquisition, and representation. · Ontologies, terminology, and frameworks. · LRs and the Semantic Web (Linked Data, Knowledge Graphs). · Data contamination, synthetic data, and quality issues. Important Dates · Feb 25 Feb 18, 2026: Paper submission deadline · March 23, 2026 Notification of acceptance · March 30, 2026: Camera-ready deadline · May 11, 2026: Workshop Date 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. Organizing Committee * Hend Al-Khalifa, Professor, King Saud University, Riyadh, Saudi Arabia, hendk(a)ksu.edu.sa<mailto:hendk@ksu.edu.sa> * Mo El-Haj, Reader, VinUniversity, Vietnam, Lancaster University, UK, elhaj.m(a)vinuni.edu.vn<mailto:elhaj.m@vinuni.edu.vn> * Saad Ezzini, Assistant Professor, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, saad.ezzini(a)kfupm.edu.sa<mailto:saad.ezzini@kfupm.edu.sa> Dr. Saad Ezzini Assistant Professor, King Fahd University of Petroleum and Minerals (KFUPM) Saudi Arabia ezzini.me<http://ezzini.me> ********************************************************************** DISCLAIMER: The information in this email and its attachments (if any) is intended for the addressee only and may contain confidential or privileged information. If you are not the intended recipient, please delete the email and its attachments from your system and notify the sender immediately. You should not retain, disclose, copy, or use this email or any of its contents for any purpose, nor disclose its contents to any other person. KFUPM is not responsible for changes made to this message after it was sent. Statements and opinions expressed in this e-mail are those of the sender, and do not necessarily reflect those of KFUPM. KFUPM is not liable for any effect or virus damage caused by this message. إن المعلومات الواردة في هذا البريد الإلكتروني ومرفقاته إن وجدت، قد تكون خاصة أو سرية؛ فإذا لم تكن المقصود بهذه الرسالة؛ فيُرجى منك حذفها ومرفقاتها من نظامك وإخطار المرسل بخطأ وصولها إليك فورا. كما لا يجوز نسخ أي جزء منها أو مرفقاتها ، أو الإفصاح عن محتوياتها لأي شخص أو استعمالها لأي غرض آخر. إن جامعة الملك فهد للبترول والمعادن لا تتحمل مسؤولية التغييرات التي يتم إجراؤها على هذه الرسالة بعد إرسالها. وإن البيانات أو الآراء المعبر عنها في هذا البريد، هي بيانات تخص مُرسلها، ولا تعكس بالضرورة رأي وبيانات الجامعة. كما لا تتحمل الجامعة مسؤولية أي تأثير ينتج عن هذه الرسالة أوعن أي فيروس قد تحمله.

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Second CfP Seventh Workshop on Resources for African Indigenous Languages (RAIL)@LREC
by Menno Van Zaanen 28 Jan '26

28 Jan '26

Second Call for Papers Seventh Workshop on Resources for African Indigenous Languages (RAIL) Co-located with LREC 2026 RAIL Workshop date: 12 May 2026 RAIL website: https://sadilar.org/en/seventh-workshop-on-resources-for-african-indigenous… Submission link for the RAIL workshop: https://softconf.com/lrec2026/RAIL2026/ LREC Conference dates: 11-16 May 2026 LREC website: https://www.elra.info/lrec2026/ Venue: Palau de Congressos de Palma, Palma de Mallorca (Spain) The Resources for African Indigenous Languages (RAIL) workshop provides an interdisciplinary platform for researchers working on resources such as data collections and annotations, Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, and their applications, specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. The seventh Resources for African Indigenous Languages (RAIL) workshop will be co-located with the Language Resources and Evaluation Conference (LREC) 2026 in Palau de Congressos de Palma, Palma, Mallorca (Spain). Many African languages are under-resourced while only a few are considered to be somewhat better resourced. These languages often share interesting properties such as writing systems, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of NLP and HLT tools, which in turn impedes the development of African languages in these areas. During previous workshops, it was noted that the problems and solutions presented were not only applicable to African languages but were also relevant to many other low-resource languages across the world. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop theme is “Creating resources for less-resourced African languages”, but submissions on any topic related to properties of African indigenous languages (including related non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under-resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources * Applications that make use of data collections of African indigenous languages Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, should adhere to the LREC conference requirements. These requirements are described in LREC’s authors kit: https://lrec2026.info/authors-kit/. The submission should be double blind and each submission should be between four and eight pages. Only oral papers should be submitted. The maximum number of pages excludes a compulsory ethics statement, discussion on limitations, and references and optional acknowledgements, as well as data and code availability statements if applicable. Appendices or supplementary material are allowed, but this information will not necessarily be taken into account during the review process. The submission link for the RAIL workshop: https://softconf.com/lrec2026/RAIL2026/ Authors are encouraged to upload their datasets to the SADiLaR repository: https://repo.sadilar.org/. In case of difficulties uploading the datasets, please reach out to Benito Trollip (benito.trollip(a)nwu.ac.za). Important dates: Submission deadline: 23 February 2026 AoE Date of notification: 11 March 2026 AoE Camera ready copy deadline: 30 March 2026 AoE Workshop: 12 May 2026 Organising Committee: Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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CLARIN ERIC Newsflash: January 2026
by Gorgaini, E. (Elisa) 28 Jan '26

28 Jan '26

Dear colleagues, The January 2026 edition of the CLARIN Newsflash is out. Highlights include: * Publication of a new ParlaMint paper in the corpora Journal. * Calls for papers for Euralex and CLARIN2026. * An overview of CLARIN’s presence at LREC, including our co-organised workshops. * A rich selection of upcoming events. Read the newsletter: https://www.clarin.eu/content/clarin-newsflash-january-2026 Subscribe to the newsletter here<http://eepurl.com/bOt3Qn>. --- Elisa Gorgaini Communication Officer - CLARIN ERIC Utrecht University | Drift 10, 3512 BS Utrecht, The Netherlands e.gorgaini(a)uu.nl<mailto:e.gorgaini@uu.nl> | elisa(a)clarin.eu<mailto:elisa@clarin.eu> www.clarin.eu<https://www.clarin.eu>

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cant login
by Demian Inostroza Améstica 28 Jan '26

28 Jan '26

Hello, I can't login and I'm not receiving the confirmation email, it says: We have sent an e-mail to you for verification. Follow the link provided to finalize the signup process. If you do not see the verification e-mail in your main inbox, check your spam folder. Please contact us if you do not receive the verification e-mail within a few minutes. But I've tried several times and nothing happens. Could you please give me a hand? Thank you! Best, Demian

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Second CfP: The 20th Linguistic Annotation Workshop (LAW XX), co-located with ACL 2026
by Amir.Zeldes＠georgetown.edu 27 Jan '26

27 Jan '26

Second Call for Papers: The 20th Linguistic Annotation Workshop (LAW XX), co-located with ACL 2026, San Diego Website: �https://sigann.github.io/LAW-XX-2026/ � 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 Information 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 o Innovative automated and manual strategies for annotation o Machine learning and knowledge-based methods for automation of corpus annotation o Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation o Inter-annotator agreement and other evaluation metrics and strategies o Qualitative evaluation of linguistic representations o Innovative means to evaluate annotation quality * Annotation access and use o 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 o New and innovative annotation schemes, comparison of annotation schemes o Methodologies and resources for annotation scheme development o Best practices for annotation procedures and/or development and documentation of annotation schemes o 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 o Annotation software and frameworks o 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_Commitment � 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. 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. � � Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop program chairs ( <mailto:law2026workshop@googlegroups.com> 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, there is no anonymity period requirement. �

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CoNLL 2026: 2nd Call for Papers
by claire.n.bonial.civ＠army.mil 27 Jan '26

27 Jan '26

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

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Call for Participation: ClinSkill QA Shared Task @ BioNLP ACL 2026
by Paul Thompson 27 Jan '26

27 Jan '26

We are pleased to announce the ClinSkill QA shared task, co-located with the BioNLP workshop at ACL 2026. TASK HOMEPAGE: https://whunextgen.github.io/ClinicalskillQA/ INTRODUCTION Multimodal large language models (MLLMs) have the potential to support clinical training and assessment by assisting medical experts in interpreting procedural videos and verifying adherence to standardized workflows. Reliable deployment in these settings requires evidence that models can continuously interpret students’ actions during clinical skill assessments, which underpins MLLMs’ understanding of clinical skills. Systematically evaluating and improving MLLMs’ understanding of clinical skills and their continuous perception in clinical skill assessment scenarios is therefore essential for building reliable and high-impact AI systems for medical education. To address this need, the shared task on medical question answering targets clinical skill assessment scenarios. IMPORTANT DATES Release of task data : Jan 30, 2026 Paper submission deadline: Apr 17, 2026 Notification of acceptance: May 4, 2026 Camera-ready paper due: May 12, 2026 BioNLP Workshop Date: July 3 or 4, 2026 Note that all deadlines are 23:59:59 AoE (UTC-12). TASK DEFINITION ClinSkill QA formulates clinical skill understanding and continuous perception for clinical skill assessment as an ordering task: the MLLM is required to arrange shuffled key frames into a coherent sequence of clinical actions and to provide explanations for the resulting order. The dataset is constructed from video clips of medical student clinical procedures, collected from Zhongnan Hospital of Wuhan University and cofun (http://www.curefun.com/). This study was approved by the Institutional Review Board (IRB), and all data collection and processing followed relevant ethical guidelines. DATASET ClinSkill QA is built on 200 sets of shuffled key frames extracted from three types of clinical skill videos. Each set of key frames represents a sequence of continuous actions and is accompanied by expert-annotated ground-truth ordering and order rationales. EVALUATION For evaluation, we use Task Accuracy (exact ordering) and Pairwise Accuracy (the fraction of adjacent pairs correctly ordered) for the ordering results, and BertScore as well as an LLM-as-judge(G-Eval) for assessing the quality of the ordering explanations. For the i-th sample (a set of shuffled keyframes): Ordering evaluation - Task Accuracy - Pairwise Accuracy Rationale evaluation - BertScore -LLM-as-Judge（G-Eval） REGISTRATION AND SUBMISSION Registration and Submission will be done via CodaBench (Link will be available soon on the task home page) Each team is allowed up to ten successful submissions on CodaBench. All shared task participants are invited to submit a paper describing their systems to the Proceedings of BioNLP 2026 (https://aclweb.org/aclwiki/BioNLP_Workshop) at ACL 2026 (https://2026.aclweb.org/). Papers must follow the submission instructions of the BioNLP 2026 workshop (https://aclweb.org/aclwiki/BioNLP_Workshop). ORGANIZERS Xiyang Huang, School of Artifical Intelligence, Wuhan University Yihuai Xu, School of Artifical Intelligence, Wuhan University Zhiyuan Chen, School of Artifical Intelligence, Wuhan University Keying Wu, School of Artifical Intelligence, Wuhan University Jiayi Xiang, School of Artifical Intelligence, Wuhan University Buzhou Tang, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Renxiong Wei, Zhongnan Hospital of Wuhan University Yanqing Ye, Zhongnan Hospital of Wuhan University Jinyu Chen, Zhongnan Hospital of Wuhan University Cheng Zeng, School of Artifical Intelligence, Wuhan University Min Peng, School of Artifical Intelligence, Wuhan University Qianqian Xie, School of Artifical Intelligence,Wuhan University Sophia Ananiadou, Department of Computer Science, The University of Manchester -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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Second CFP *SEM2026: The 15th Joint Conference on Lexical and Computational Semantics, San Diego, CA. (Co-located with ACL)
by Nedjma Ousidhoum 26 Jan '26

26 Jan '26

Dear corpora-list members, We are pleased to announce the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026), co-located with ACL 2026. The call for papers can be found here<https://starsem2026.github.io/calls/> and below. *SEM 2026: The 15th Joint Conference on Lexical and Computational Semantics [San Diego, CA (Co-located with ACL 2026)] Website: https://starsem2026.github.io/ Direct submission link: https://openreview.net/group?id=STARSEM/2026/Conference *SEM brings together researchers interested in the semantics of natural languages and its computational modelling. The conference embraces a wide range of approaches including data-driven, neural, probabilistic and symbolic; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a forum for NLP researchers working on any aspect of natural language semantics. *SEM invites submissions related to the computational modelling of natural language semantics (understood broadly) and its application. Relevant areas include (but are not limited to) theoretical aspects of computational semantics, empirical and data-driven approaches, resources, evaluation, and applications/tools. *SEM encourages authors to consider ethical aspects of their work, and to address and discuss ethical questions and implications relevant to their research. *SEM also values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here. Please fill out this form<https://forms.gle/634oW3yvtTkur6qL9> if you would like to volunteer as a reviewer or as an Area Chair. Questions may be directed to: startsem-2026-pcs(a)googlegroups.com<mailto:startsem-2026-pcs@googlegroups.com> New for *SEM 2026 1. One Day Conference: Unlike past iterations, *Sem 2026 will be a one-day conference. (ACL has informed us that this is due to venue size limitations.) 2. Centering Research Questions: Research questions in *Sem, and NLP generally, can be roughly categorized into those that address: * new findings about language (linguistic phenomena, semantic patterns), * new findings about people (language use, behavior, health, ethics, etc.), * new findings about automatic language processing (advancing language understanding through ML/AI and other approaches). Centering and explicitly articulating the research question helps authors frame and present their contribution more clearly. It also helps reviewers and Area Chairs evaluate the work within the appropriate context. For example, a paper that centers a compelling linguistic or behavioral research question and offers meaningful new insights need not also introduce methodological novelty or rely on the latest models (including LLMs). A simple and interpretable approach may make good sense. To support this, the *SEM 2026 submission form asks authors to explicitly identify the predominant research question type for their work, as well as any additional categories that apply. There are no quotas for accepted papers of different types, and submissions will not receive preferential treatment based on category selection. Including this information also allows *SEM to track the kinds of research questions authors pursue and how the conference’s focus evolves over time. 3. Lasting Impact Modern NLP and ML papers have often been criticized for being overly incremental or becoming obsolete shortly after publication. To encourage work with broader scientific value and longer-term relevance, reviewers of *Sem 2026 will be asked to explicitly assess the potential lasting impact of each submission. This assessment will be included as a short-written justification and will factor into the overall recommendation. Importantly, a healthy research ecosystem requires diversity in the time horizons of research contributions. Some papers offer immediate practical value; others generate insights or resources whose importance unfolds over years. *Sem 2026 welcomes this full spectrum. Reviewers should evaluate the potential for lasting influence—not only immediate performance gains. Work can have a lasting impact in many ways. See our blog post<https://starsem2026.github.io/blog/> on this. Topics of Interest (non-exhaustive) * Compositional semantics and sentence representations * Statistical, machine learning, and deep learning methods in semantic tasks * Multilingual and cross-lingual semantics * Word sense disambiguation and induction * Sentiment Analysis, Computational Affective Science, Stylistic Analysis, and Argument Mining * Computational Social Science, Digital Humanities, and Cultural Analytics * Semantic parsing, and syntax-semantics interface * Frame semantics and semantic role labeling * Textual inference, textual entailment, and question answering * Formal approaches to semantics * Extraction of events and of causal and temporal relations * Entity linking, pronouns and coreference * Discourse, pragmatics, and dialogue * Machine reading * Abusive language detection, Fact verification and related tasks * Extra-propositional aspects of meaning * Multiword and idiomatic expressions * Metaphor, irony, and humor processing * Knowledge mining and acquisition * Common sense reasoning * Language generation * Multidisciplinary research on semantics * Grounding and multimodal semantics * Psycholinguistics * Interpretability and Explainability * Human semantic processing * Semantic annotation, evaluation, and resources * NLP Applications * Ethical aspects and bias in semantic representations Submission Instructions Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained, and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers' comments in their final versions. Limitations and Ethics Statement sections are allowed and encouraged but are not mandatory. These sections should be placed after the conclusion and will not count towards the overall page limit. Submissions should follow the ARR formatting requirements<https://github.com/acl-org/acl-style-files>. Submission routes and deadlines *SEM solicits direct submissions (not through ARR). The deadline for direct submissions is Feb 13, 2026, and these submissions will be reviewed by the *SEM2025 program committee. Submissions are made through OpenReview. Multiple submission policy *SEM does not prohibit the submission of work that is under consideration for another venue at the same time as the *SEM review period. However, authors of such papers will be asked to declare this at submission time. Important Dates (All deadlines are 11:59pm UTC-12h, AoE) Direct submission deadline (long & short papers): Feb 13, 2026 Notification of acceptance: May 5, 2026 Camera-ready deadline: May 26, 2026 Conference date: July 6, 2026 (co-located with ACL 2026) Following the ACL and ARR policies<https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy>, there is no anonymity period requirement. Best regards, The *SEM 2026 Program Chairs

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Corpora January 2026