30.1736, Calls: Cognitive Science, Computational Linguistics, Neurolinguistics, Psycholinguistics/Hong Kong
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Mon Apr 22 19:35:57 UTC 2019
LINGUIST List: Vol-30-1736. Mon Apr 22 2019. ISSN: 1069 - 4875.
Subject: 30.1736, Calls: Cognitive Science, Computational Linguistics, Neurolinguistics, Psycholinguistics/Hong Kong
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Date: Mon, 22 Apr 2019 15:35:10
From: Aline Villavicencio [alinev at gmail.com]
Subject: Conference on Computational Natural Language Learning
Full Title: Conference on Computational Natural Language Learning
Short Title: CoNLL-2019
Date: 03-Nov-2019 - 04-Nov-2019
Location: Hong Kong, Hong Kong
Contact Person: Aline Villavicencio
Meeting Email: conll2019.chairs at gmail.com
Web Site: http://www.conll.org/
Linguistic Field(s): Cognitive Science; Computational Linguistics; Neurolinguistics; Psycholinguistics
Call Deadline: 31-May-2019
Meeting Description:
The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2019)
will be held on November 3-4, 2019, in Hong Kong.
Website: http://www.conll.org/cfp-2019
Twitter: https://twitter.com/CoNLL2019
Facebook: https://www.facebook.com/conll2019/
Invited Speakers:
Christopher Manning (Thomas M. Siebel Professor in Machine Learning)
Department of Linguistics and Computer Science, Stanford University
Gabriella Vigliocco (Professor of the Psychology of Language)
Department of Experimental Psychology, University College London
Organisers:
CoNLL co-chairs:
Mohit Bansal, University of North Carolina at Chapel Hill, USA
Aline Villavicencio, University of Essex, UK and Federal University of Rio
Grande do Sul, Brazil
Area chairs:
Jason Baldridge, Google AI Language, USA
Laurent Besacier, Université Grenoble Alpes, France
Chris Biemann, Universität Hamburg, Germany
Asli Celikyilmaz, Microsoft Research, USA
Snigdha Chaturvedi, UCSC, USA
Grzegorz Chrupala, Tilburg University, The Netherlands
Mathieu Constant, Université de Lorraine, France
Ryan Cotterell, University of Cambridge, UK
Dipanjan Das, Google AI Language, USA
Greg Durrett, UT Austin, USA
Manaal Faruqui, Google Assistant, USA
Michel Galley, Microsoft Research, USA
Dilek Hakkani-Tur, Amazon Alexa AI, USA
Mohit Iyyer, UMass Amherst, USA
Yangfeng Ji, University of Virginia, USA
Preethi Jyothi, IIT Bombay, India
Douwe Kiela, Facebook Research, USA
Graham Neubig, CMU, USA
Horacio Saggion, Universitat Pompeu Fabra, Spain
Avirup Sil, IBM Research AI, USA
Amanda Stent, Bloomberg Research, USA
Mark Stevenson, University of Sheffield, UK
Andreas Vachlos, University of Cambridge, UK
Publication chair:
Sebastian Ruder, National University of Ireland and Aylien Ltd. Dublin,
Ireland
Miikka Silfverberg, University of Helsinki, Finland
Administration chair:
Rodrigo Wilkens, Université Catholique de Louvain, Belgium
Publicity / sponsorship chair:
Ramakanth Pasunuru, University of North Carolina at Chapel Hill, USA
Webmasters:
Marcely Zanon Boito, Université Grenoble Alpes, France
Pieter Fivez, University of Antwerp, Belgium
Contact:
conll2019.chairs at gmail.com
Call for Papers:
CoNLL 2019 2nd Call for Papers
SIGNLL, the Association for Computational Linguistics’ Special Interest Group
on Natural Language Learning, invites you to submit your papers to the
Conference on Computational Natural Language Learning (CoNLL 2019), which will
be held on November 3-4, 2019, in Hong Kong.
Submit your paper!
Website: http://www.conll.org/cfp-2019
Twitter: https://twitter.com/CoNLL2019
Topics:
We invite the submission of papers on all aspects of computational approaches
to natural language learning, particularly interdisciplinary research
combining cognitive aspects of language processing and machine learning,
including, but not limited to:
Language Models, Segmentation
Multimodal and Grounded Language Processing
Computational Psycholinguistics
Computational Models of Language evolution and Change
Computational Simulation and Analysis of Psycholinguistic Findings
Computational Learning Theory and Analysis of Language Learning
Computational Models of First, Second and Bilingual Language Acquisition
Data Resources, Techniques and Tools for Computational Modeling of Human
Language Acquisition and Processing
Investigations of Learning Methods (e.g. machine learning,
biologically-inspired, active learning, hybrid models) from a Cognitive
Perspective
Models of induction and Analogy in Linguistics
Morphological Analysis, POS Tagging and Sequence Labeling
Syntactic and Semantic Parsing
Lexical and Compositional Semantics
Discourse and Coreference
Dialogue and Interactive Systems
Narrative Understanding and Commonsense Reasoning
Spoken Language Processing
Sentiment Analysis and Opinion Mining
Information Retrieval, Question Answering
Information Extraction
Text Mining
Summarization
Natural Language Generation
Machine Translation
Other NLP Applications
Multilinguality and Cross-linguality
Machine Learning for NLP
Linguistic Theories and Resources
Important Dates:
Anonymity Period: May 1, 2019
Paper submission: May 31, 2019
Notification of acceptance: July 27, 2019
Camera-ready due: August 24, 2019
Conference: November 3-4, 2019 (before EMNLP 2019)
Note: All deadlines are calculated at 11:59pm UTC-12h. We accept submissions
online via Softconf.
Best Paper Award: As in recent CoNLL conferences, a Best Paper Award will be
given to the authors of the highest quality paper. The most important aspects
in judging the quality of a paper will be: originality, innovativeness,
relevance, and impact of the presented research.
Best Paper Award for Research Inspired by Human Language Learning and
Processing: We will also continue giving a special award for the Best Paper
Award for Research Inspired by Human Language Learning and Processing.
Submission Information
- Paper Submissions
CoNLL 2019 long paper submissions must describe substantial, original,
completed and unpublished work. Wherever appropriate, concrete evaluation and
analysis should be included. Each submission will be reviewed by at least
three program committee members. Each long paper submission consists of a
paper of up to eight (8) pages of content, plus unlimited pages for
references. Final versions of long papers will be given one additional page
(up to nine pages with unlimited pages for references) so that reviewers
comments can be taken into account.
Contact:
conll2019.chairs at gmail.com
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