Difference between revisions of "CoNLL 2019"

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|City=Hong Kong
 
|City=Hong Kong
 
|Country=China
 
|Country=China
 +
|has general chair=Mohit Bansal, Aline Villavicencio
 +
|has Keynote speaker=Christopher Manning, Gabriella Vigliocco
 +
|Submitted papers=485
 +
|Accepted papers=97
 +
|has Proceedings Link=https://www.aclweb.org/anthology/K19-1.pdf
 +
|has Proceedings Bibliography=https://www.aclweb.org/anthology/volumes/K19-1/
 
}}
 
}}
 
The '''23rd Conference on Computational Natural Language Learning (CoNLL) 2019'''
 
The '''23rd Conference on Computational Natural Language Learning (CoNLL) 2019'''
 
==Topics==
 
==Submissions==
 
==Important Dates==
 
 
==Committees==
 
* Co-Organizers
 
* General Co-Chairs
 
** [[has general chair::some person]], some affiliation, country
 
 
* PC Co-Chairs
 
** [[has program chair::some person]], some affiliation, country
 
 
* Workshop Chair
 
** [[has workshop chair::some person]], some affiliation, country
 
 
* Panel Chair
 
** [[has OC member::some person]], some affiliation, country
 
 
* Seminars Chair
 
** [[has tutorial chair::some person]], some affiliation, country
 
 
* Demonstration Co-Chairs
 
** [[has demo chair::some person]], some affiliation, country
 
** [[has demo chair::some person]], some affiliation, country
 
 
* Local Organizing Co-Chairs
 
** [[has local chair::some person]], some affiliation, country
 
 
* Program Committee Members
 
** [[has PC member::some person]], some affiliation, country
 

Latest revision as of 11:54, 13 March 2020

CoNLL 2019
Conference on Natural Language Learning
Event in series CoNLL
Dates 2019/11/03 (iCal) - 2019/11/04
Homepage: https://www.conll.org/2019
Twitter account: https://twitter.com/conll_conf
Location
Location: Hong Kong, China
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Papers: Submitted 485 / Accepted 97 (20 %)
Committees
General chairs: Mohit Bansal, Aline Villavicencio
Keynote speaker: Christopher Manning, Gabriella Vigliocco
Table of Contents
Tweets by https://twitter.com/conll_conf
">Tweets by {{{Twitter account}}}


The 23rd Conference on Computational Natural Language Learning (CoNLL) 2019