• DocumentCode
    3318430
  • Title

    Improving dependency analysis by syntactic parser combination

  • Author

    Brunet-Manquat, Francis

  • Author_Institution
    Lab. CLIPS, IMAG, Grenoble, France
  • fYear
    2005
  • fDate
    30 Oct.-1 Nov. 2005
  • Firstpage
    699
  • Lastpage
    704
  • Abstract
    The goal of this article is to present our work about a combination of several syntactic parsers to produce a more robust parser. We have built a platform which allows us to compare syntactic parsers for a given language by splitting their results in elementary pieces, normalizing them, and comparing them with reference results. The same platform is used to combine several parsers to produce a dependency parser that has larger coverage and is more robust than its component parsers. In the future, it should be possible to "compile" the knowledge extracted from several analyzers into an autonomous dependency parser.
  • Keywords
    computational linguistics; grammars; natural languages; dependency analysis; dependency parser; knowledge extraction; syntactic parser combination; Data analysis; Data mining; Laboratories; Natural languages; Production; Robustness; Speech recognition; Standardization; Tagging; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9361-9
  • Type

    conf

  • DOI
    10.1109/NLPKE.2005.1598826
  • Filename
    1598826