MICA: a probabilistic dependency parser based on tree insertion grammars application note

  • Authors:
  • Srinivas Bangalore;Pierre Boulllier;Alexis Nasr;Owen Rambow;Benoît Sagot

  • Affiliations:
  • AT&T Labs -- Research, Florham Park, NJ;INRIA, Rocquencourt, France;Aix-Marseille Université, Marseille, France;Columbia University, New York, NY;INRIA, Rocquencourt, France

  • Venue:
  • NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
  • Year:
  • 2009

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Abstract

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