The best of both worlds: a graph-based completion model for transition-based parsers

  • Authors:
  • Bernd Bohnet;Jonas Kuhn

  • Affiliations:
  • University of Stuttgart Institute for Natural Language Processing;University of Stuttgart Institute for Natural Language Processing

  • Venue:
  • EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2012

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Abstract

Transition-based dependency parsers are often forced to make attachment decisions at a point when only partial information about the relevant graph configuration is available. In this paper, we describe a model that takes into account complete structures as they become available to rescore the elements of a beam, combining the advantages of transition-based and graph-based approaches. We also propose an efficient implementation that allows for the use of sophisticated features and show that the completion model leads to a substantial increase in accuracy. We apply the new transition-based parser on typologically different languages such as English, Chinese, Czech, and German and report competitive labeled and unlabeled attachment scores.