CoNLL 2026: 3rd & Final Call for Papers
San Diego, California, United States, July 3-4, 2026 (co-located with ACL)
https://www.conll.org/ 

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: We are pleased to announce that CoNLL 2026 keynote speakers will be Adele 
Goldberg (Princeton) and Michael C. Frank (Stanford)! 

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. 

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.”

**NEW** Human Subjects & IRB requirements: CoNLL 2026 requires that papers 
reporting on new human subjects data (collected in a lab or online) include 
details (in the main paper or in an appendix) on (1) how the data was obtained 
(2) how participants were recruited and paid (3) how consent was obtained (4) 
whether an IRB protocol was approved for this study. Note that providing this 
information is obligatory.

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

CoNLL 2026 Co-Chairs
Claire Bonial, Georgetown University
Yevgeni Berzak, Technion

Publication Chairs
Katrien Beuls, Université de Namur
Paul Van Eecke, Vrije Universiteit Brussel

Publicity Chair
Harish Tayyar Madabushi, University of Bath

Contact
Questions? E-mail [email protected]
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