CoNLL 2020 : Conference on Computational Natural Language Learning (CoNLL)

CoNLL 2020 — Call for Papers

https://www.conll.org/2020

SIGNLL, the Association for Computational Linguistics\’ Special
Interest Group on Natural Language Learning, invites submissions to
the 24th SIGNLL Conference on Computational Natural Language Learning
(CoNLL 2020). The conference will be held on November 11-12, 2020, in
Punta Cana, Dominican Republic, immediately following EMNLP 2020.

Invited speakers
———————————–
– Emmanuel Dupoux (EHESS and Ecole Normale Supérieur, Paris, France)
– Kristina Tautanova (Google, Seattle, USA)

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

Submitted papers must be anonymous and adhere to the CoNLL format by
using our LaTeX style files or Word 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). 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.