CoNLL is a yearly conference organized by SIGNLL (ACL's Special Interest Group on Natural Language Learning), focusing on theoretically, cognitively and scientifically motivated approaches to computational linguistics. This year, CoNLL will be co-located with ACL 2025.
Submission page available here.
Call for Papers
Vienna, Austria, July 31 - August 1, 2025 (co-located with ACL)
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. 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 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: "[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
ARR Commitment deadline 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
Social Media
Follow us at @conll-conf on BlueSky or @conll_conf on X/Twitter for the latest information.
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, University of North Carolina at Chapel Hill
Anvesh Rao Vijjini, University of North Carolina at Chapel Hill
Publication Chairs
Emily Cheng, Universitat Pompeu Fabra
Selina Meyer, University of Technology Nuremberg