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UID:/NewsandEvents/Archives/2020/newsitem/11869/19
 ---20-November-2020-24th-SIGNLL-Conference-on-Comp
 utational-Natural-Language-Learning-CoNLL-2020-Vir
 tual-conference
DTSTAMP:20200607T214026
SUMMARY:24th SIGNLL Conference on Computational Na
 tural Language Learning (CoNLL 2020), Virtual conf
 erence
DTSTART;VALUE=DATE:20201119
DTEND;VALUE=DATE:20201120
LOCATION:Virtual conference
DESCRIPTION:CoNLL is a yearly conference organized
  by SIGNLL (ACL's Special Interest Group on Natura
 l Language Learning). This year, CoNLL will be col
 ocated with EMNLP 2020, and like EMNLP will be a f
 ully virtual conference. In this edition, we expli
 citly invite submissions that focus on theoretical
 ly, cognitively and scientifically motivated appro
 aches to computational linguistics, rather than on
  work driven by particular engineering application
 s.  SIGNLL invites submissions to the 24th Confere
 nce on Computational Natural Language Learning (Co
 NLL 2020). The main focus of CoNLL is on theoretic
 ally, cognitively and scientifically motivated app
 roaches to computational linguistics, rather than 
 on work driven by particular engineering applicati
 ons. We welcome work targeting any aspect of langu
 age. Submitted papers must be anonymous and use th
 e EMNLP 2020 template. Submitted papers may consis
 t of up to 8 pages of content plus unlimited space
  for references.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>CoNLL is 
 a yearly conference organized by <a href="http://w
 ww.signll.org/" target="_blank">SIGNLL</a> (ACL's 
 Special Interest Group on Natural Language Learnin
 g). This year, CoNLL will be colocated with <a hre
 f="https://2020.emnlp.org/" target="_blank">EMNLP 
 2020</a>, and like EMNLP will be a fully virtual c
 onference. In this edition, we explicitly invite s
 ubmissions that focus on theoretically, cognitivel
 y and scientifically motivated approaches to compu
 tational linguistics, rather than on work driven b
 y particular engineering applications.</p>\n</div>
 <div>\n  <p>SIGNLL invites submissions to the 24th
  Conference on Computational Natural Language Lear
 ning (CoNLL 2020). The main focus of CoNLL is on t
 heoretically, cognitively and scientifically motiv
 ated approaches to computational linguistics, rath
 er than on work driven by particular engineering a
 pplications. We welcome work targeting any aspect 
 of language. Submitted papers must be anonymous an
 d use the EMNLP 2020 template. Submitted papers ma
 y consist of up to 8 pages of content plus unlimit
 ed space for references.</p>\n</div>
URL:https://www.conll.org
CONTACT:Raquel Fernández at raquel.fernandez at uv
 a.nl
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