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MICA: A probabilistic dependency parser based on tree insertion grammars

  • Srinivas Bangalore
  • , Pierre Boulllier
  • , Alexis Nasr
  • , Owen Rambow
  • , Benoît Sagot
  • AT&T
  • Institut national de recherche en informatique et en automatique
  • Aix-Marseille Université

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Scopus citations

Abstract

MICA is a dependency parser which returns deep dependency representations, is fast, has state-of-the-art performance, and is freely available.

Original languageEnglish
Title of host publicationNAACL-HLT 2009 - Human Language Technologies
Subtitle of host publication2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers
EditorsMari Ostendorf, Michael Collins, Shri Narayanan, Douglas W. Oard, Lucy Vanderwende
PublisherAssociation for Computational Linguistics (ACL)
Pages185-188
Number of pages4
ISBN (Electronic)9781932432428
StatePublished - 2009
Event2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 - Boulder, United States
Duration: May 31 2009Jun 5 2009

Publication series

NameNAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers

Conference

Conference2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009
Country/TerritoryUnited States
CityBoulder
Period05/31/0906/5/09

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