SIGNLL invites submissions to the 27th Conference on Computational Natural Language Learning (CoNLL 2023). 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 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 2023 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, according to the EMNLP 2023 guidelines. Please refer to the EMNLP 2023 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system. Note that, unlike EMNLP, we do not mandate that papers have a section discussion limitations of the work. However, we strongly encourage authors have such a section in the appendix.

CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2023 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2023.

Please submit via Softconf START. (Note that, unlike EMNLP 2023, CoNLL 2023 will not accept ARR submissions.)