CoNLL is a top tier conference focusing on theoretically, cognitively and scientifically motivated approaches to computational linguistics and NLP.
Venue
San Diego, California, United States, July 3-4, 2026 (co-located with ACL). CoNLL 2026 will take place in person, with a possibility for online presentations for authors who cannot attend the conference due to visa related issues.
Submissions
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 submission's relevance to CoNLL'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.
CoNLL 2026 will accept only direct submissions 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 and appendices). Optional anonymized supplementary materials are allowed. Please refer to the ACL website for more details on the submission format.
Appendix. Appendixes should be provided as part of the submission pdf, directly after the references (not in the supplementary materials).
Limitations section. 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.
Human data collection. If the paper introduces new data collected from human participants (e.g. annotations from human participants, behavioral data, brain recordings), it is required that you have dedicated section in the main paper or in the Appendix which provides anonymized details on (1) how the data was obtained (2) how participants were recruited and paid (3) how consent was obtained (4) whether a IRB protocol was approved for this study.
Reviewer nomination. One of the authors who is a PhD student or more senior, will be asked to nominate themselves as reviewers for CoNLL 2026.
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)
- Submissions open: January 30 2026
- 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
CoNLL 2026 Co-Chairs
Claire Bonial, Georgetown University
Yevgeni Berzak, Technion
Contact
Questions? E-mail conll.chairs@gmail.com