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UID:/NewsandEvents/Archives/2025/newsitem/15321/31
 -July---1-August-2025-29th-Conference-on-Computati
 onal-Natural-Language-Learning-CoNLL-2025-Vienna-A
 ustria
DTSTAMP:20241204T160153
SUMMARY:29th Conference on Computational Natural L
 anguage  Learning (CoNLL 2025), Vienna, Austria
DTSTART;VALUE=DATE:20250731
DTEND;VALUE=DATE:20250801
LOCATION:Vienna, Austria
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 ACL 2025. The focus of CoNLL is on the
 oretically, cognitively and scientifically motivat
 ed approaches to computational linguistics, rather
  than on work driven by particular engineering app
 lications.  SIGNLL invites submissions to the 29th
  Conference on Computational Natural Language Lear
 ning (CoNLL 2025). We welcome work targeting any a
 spect of language and its computational modeling. 
 Submitted papers must be anonymous and use the sam
 e template as the ACL 2025. Submitted papers may c
 onsist of up to 8 pages of content plus unlimited 
 space for references. CoNLL 2025 will refuse paper
 s that are currently under submission, or that wil
 l be submitted to other meetings or publications, 
 including ACL.   
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" rel="noopener">SIG
 NLL</a> (ACL's Special Interest Group on Natural L
 anguage Learning). This year, CoNLL will be coloca
 ted with <a href="https://2025.aclweb.org/" target
 ="_blank" rel="nofollow noopener">ACL 2025</a>. Th
 e focus of CoNLL is on theoretically, cognitively 
 and scientifically motivated approaches to computa
 tional linguistics, rather than on work driven by 
 particular engineering applications.</p>\n</div><d
 iv>\n  <p>SIGNLL invites submissions to the 29th C
 onference on Computational Natural Language Learni
 ng (CoNLL 2025). We welcome work targeting any asp
 ect of language and its computational modeling. Su
 bmitted papers must be anonymous and use the same 
 template as the <a href="https://2025.aclweb.org/"
  target="_blank" rel="nofollow noopener">ACL 2025<
 /a>. Submitted papers may consist of up to 8 pages
  of content plus unlimited space for references. C
 oNLL 2025 will refuse papers that are currently un
 der submission, or that will be submitted to other
  meetings or publications, including ACL.</p>\n  <
 p>&nbsp;</p>\n</div>
URL:https://www.conll.org
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