CoNLL 2024

May 24, 2024

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 colocated with EMNLP 2024. Registrations for CoNLL can be made through EMNLP (workshop 1).

Submission page available here.

Call for Papers

SIGNLL invites submissions to the 28th Conference on Computational Natural Language Learning (CoNLL 2024). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include:

  • Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP
  • Models of first, second and bilingual language acquisition by humans
  • Models of sign language acquisition, understanding, and production
  • Models of language evolution and change
  • Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments
  • Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods
  • Data resources, techniques and tools for scientifically-oriented research in computational linguistics
  • Connections between computational models and formal languages or linguistic theories
  • Linguistic typology, translation, and other multilingual work
  • Theoretically, cognitively and scientifically motivated approaches to text generation

We welcome work targeting any aspect of language, including:

  • Speech and phonology
  • Syntax and morphology
  • Lexical, compositional and discourse semantics
  • Dialogue and interactive language use
  • Sociolinguistics
  • Multimodal and grounded language learning

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.

Submitted papers must be anonymous and use the EMNLP 2024 template. 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 EMNLP 2024 Call for Papers for more details on the submission format. Note that, unlike EMNLP, 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.

Please submit via Open Review. CoNLL 2024 will accept ARR submission depending on the full review to be completed by . Please note that CoNLL Jul 1, 2024 Please note that CoNLL Jul 1, 2024 2024 is an in-person conference. We expect all accepted papers to be presented physically and presenting authors must register through EMNLP (workshop).


All deadlines are 11:59pm UTC-12h (anywhere on Earth)

  • Submission deadline: Monday July 1, 2024 (EXTENDED) Sunday, July 7, 2024
  • Notification of acceptance: Friday, September 20, 2024
  • Camera ready papers due: Friday, October 11, 2024
  • Conference: November 15 - 16, 2024


CoNLL 2024 will be held in-person, along with EMNLP in Miami, Florida.

Multiple submission policy

CoNLL 2024 will refuse papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere and papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2024 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results.

Information About Travel Visas

If you will be requiring travel visas to Miami, Florida, please fill out this form: Travel Visa Form

This has been prepared by the EMNLP organizers to facilitate the process of acquiring visas. If visas are needed, your information should be provided as early as possible. If you have more questions, please contact Mark Finlayson and Zoey Liu, who are the local chairs here: EMNLP Organizers

CoNLL 2024 Chairs and Organizers

The conference's co-chairs are:

Publication chair:


  • SIGNLL President: Julia Hockenmaier (University of Illinois at Urbana-Champaign, USA)
  • SIGNLL Secretary: Afra Alishahi (Tilburg University, Netherlands)

Invited speakers

  • Thamar Solorio (Mohamed bin Zayed University of Artificial Intelligence, MBZUAI)
  • Lorna Quandt (Gallaudet University)
  • Wai Keen Vong (New York University)

Areas and ACs

  • Computational Psycholinguistics, Cognition and Linguistics: Nathan Schneider
  • Computational Social Science: Kate Atwell
  • Interaction and Grounded Language Learning: Anthony Sicilia
  • Lexical, Compositional and Discourse Semantics: Shira Wein
  • Multilingual Work and Translation: Yuval Marton
  • Natural Language Generation: Tuhin Chakrabarty
  • Resources and Tools for Scientifically Motivated Research: Venkat
  • Speech and Phonology: Huteng Dai
  • Syntax and Morphology: Ryan Cotterell
  • Theoretical Analysis and Interpretation of ML Models for NLP: Kevin Small