LINGUIST List 31.689

Mon Feb 17 2020

Confs: Cog Sci, Comp Ling, Lang Acquisition, Psycholing/Dominican Republic

Editor for this issue: Lauren Perkins <>

Date: 17-Feb-2020
From: Tal Linzen <>
Subject: SIGNLL Conference on Computational Natural Language Learning (CoNLL 2020)
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SIGNLL Conference on Computational Natural Language Learning (CoNLL 2020)

Date: 11-Nov-2020 - 12-Nov-2020
Location: Punta Cana, Dominican Republic
Contact: Tal Linzen
Contact Email: < click here to access email >
Meeting URL:

Linguistic Field(s): Cognitive Science; Computational Linguistics; Language Acquisition; Psycholinguistics

Meeting Description:

SIGNLL invites submissions to the 24th Conference on Computational Natural Language Learning (CoNLL 2020). The main 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 and other multilingual work

Emmanuel Dupoux (Ecole des Hautes Etudes en Sciences Sociales and Facebook AI Research, Paris, France)
Kristina Toutanova (Google, Seattle, USA)

Call for Papers:

We welcome work targeting any aspect of language, including:
- Speech and phonology
- Lexical and compositional semantics
- Syntactic parsing
- Discourse and coreference
- Dialogue and interactive language use
- Sociolinguistics
- Multimodal and grounded language learning

Submitted papers must be anonymous and adhere to the CoNLL format by using our LaTeX style files or Word template (available soon). 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). Anonymized supplementary materials are allowed as an optional PDF appendix, in line with EMNLP 2020 guidelines. Submission is electronic, using the Softconf START conference management system.

CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2020 Call for Papers (available on the conference website).

CoNLL 2020 will not accept papers that have been or will be submitted to other meetings or publications. Papers submitted elsewhere as well as 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 2020 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results.

Page Updated: 17-Feb-2020