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

[The LINGUIST List]

LINGUIST List: Vol-31-689. Mon Feb 17 2020. ISSN: 1069 - 4875.

Subject: 31.689, Confs: Cog Sci, Comp Ling, Lang Acquisition, Psycholing/Dominican Republic

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Date: Mon, 17 Feb 2020 16:04:41
From: Tal Linzen [tal.linzen at jhu.edu]
Subject: SIGNLL Conference on Computational Natural Language Learning (CoNLL 2020)

 
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: tal.linzen at jhu.edu 
Meeting URL: https://www.conll.org/2020 

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

INVITED SPEAKERS
    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.





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