BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT 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:
CoNLL is a yearly conference organized by SIGNLL (ACL's Special Interest Group on Natural Language Learnin g). This year, CoNLL will be colocated with EMNLP 2020, 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.
SIGNLL invites submissions to the 24th C onference on Computational Natural Language Learni ng (CoNLL 2020). The main 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. We welcome work targeting any aspect of language. Submitted papers must be anonymous and use the EMNLP 2020 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references.
URL:https://www.conll.org CONTACT:Raquel Fernández at raquel.fernandez at uv a.nl END:VEVENT END:VCALENDAR