**CoNLL 2025: 2nd Call for Papers** **Vienna, Austria, July 31 - August 1, 2025 (co-located with ACL)** **<https://www.conll.org/ ](https://www.conll.org/)** **NEW!** This year, CoNLL will only accept direct submissions… **NEW!** … both archival and **non-archival**! (see below) SIGNLL invites submissions to the 29th Conference on Computational Natural Language Learning (CoNLL 2025). The focus of CoNLL is on **theoretically, cognitively and scientifically motivated approaches to computational linguistics**. We welcome work targeting any aspect of language and its computational modeling, including but not only: * Computational Psycholinguistics, Cognition and Linguistics * 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 **Submissions** Submission will be via OpenReview. We accept two types of submission: archival, and non-archival. **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 2023, 2024, and 2025 in relevant conferences (\*ACL, COLING, NeurIPS, ICLR, …) and journals (TACL, Computational Linguistics, other journals in the areas of interest for CoNLL). We are working on the submission site, we’ll announce it on the CoNLL website and social media, as well as in the 3rd CfP. Submissions that are accepted will be presented at the conference either as talks or as poster presentations.  **Archival** submissions must be anonymous and use the same template as the [ACL 2025](https://2025.aclweb.org/). 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. The appendix should be submitted as a separate PDF file (reviewers are not required to consider the materials in the appendix so it should not include any essential content to the understanding of the paper). Please refer to the [ACL website](https://2025.aclweb.org/) 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.  The submission page for archival papers can be found here: <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/CoNLL>  **\ Multiple submission policy**: CoNLL 2025 follows the ACL 2025 policy, which follows the ARR policy: <https://aclrollingreview.org/cfp#multiple-submission-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 2025 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. As for **submission of pre-prints** to arXiv and other platforms, we follow the same policy as [ARR](https://aclrollingreview.org/anonymity/): “\[archival\] 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. **Venue / visa** \ CoNLL 2025 will be held in Vienna, Austria. Please note that it is an **in-person** conference. We expect all accepted papers to be presented physically and presenting authors must register through ACL (workshop). If you need a visa, we encourage you to **submit your visa application at submission time**. **\ Timeline** (All deadlines are 11:59pm UTC-12h, AoE) * Submission deadline (archival and **non-archival**): March 14 2025 * A̶R̶R̶ ̶C̶o̶m̶m̶i̶t̶m̶e̶n̶t̶ ̶d̶e̶a̶d̶l̶i̶n̶e̶ CoNLL only accepts direct submissions this year! * Notification of acceptance: May 23 2025 * Camera-ready papers due: June 17 2025 * Conference: July 31 - August 1, 2025 **Contact** Questions? E-mail conll.chairs@gmail.com **Organization committee** Program Chairs Gemma Boleda, Universitat Pompeu Fabra / ICREA Michael Roth, University of Technology Nuremberg Area Chairs Christian Bentz, University of Passau Zhenguang G. Cai, Chinese University of Hong Kong Tanise Ceron, Bocconi University Jackie Chi Kit Cheung, McGill University Iria De Dios, Universitat Pompeu Fabra Max van Duijn, Leiden University Kilian Evang, HHU Düsseldorf Aina Garí Soler, INRIA Ximena Gutierrez-Vasques, Universidad Nacional Autónoma de México Dieuwke Hupkes, Meta AI Research Xixian Liao, Barcelona Supercomputing Center Brielen Madureira, University of Potsdam Yohei Oseki, University of Tokyo Sandro Pezzelle, University of Amsterdam Emily Prud’hommeaux, Boston College Tanja Samardžić, University of Zurich Carina Silberer, University of Stuttgart Ece Takmaz, Utrecht University Tessa Verhoef, Leiden University Yang Xu, University of Toronto Wei Zhao, University of Aberdeen Publicity Chairs Snigdha Chaturvedi, UNC-Chapel Hill Anvesh Rao Vijjini, UNC-Chapel Hill Publication Chairs Emily Cheng, Universitat Pompeu Fabra Selina Meyer, Technische Universität Nürnberg