CoNLL 2020 : 24th SIGNLL Conference on Computational Natural Language Learning

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

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