• DocumentCode
    3627814
  • Title

    Extension of HVS semantic parser by allowing left-right branching

  • Author

    Filip Jurcicek;Jan Svec;Ludek Muller

  • Author_Institution
    Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic
  • fYear
    2008
  • Firstpage
    4993
  • Lastpage
    4996
  • Abstract
    The hidden vector state (HVS) parser is a popular method for semantic parsing. It is used in the language understanding module of the statistical based spoken dialog system. This paper presents an extension of the HVS semantic parser. It enables the parser to generate broader class of semantic trees. This modification can be used to improve the performance of the parser by generating not only the right-branching trees (like original HVS parser) but also limited left-branching trees and their combinations. The extension retains simplicity and properties of the original HVS parser. We tested the method on Czech human-human train timetable corpus. The modified HVS parser yields statistically significant improvement. The accuracy of the system increased from 50.4% to 58.3% absolutely.
  • Keywords
    "Natural languages","Information retrieval","Automata","Cybernetics","Testing","Cultural differences","Global communication","Maximum a posteriori estimation","Probability","Helium"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518779
  • Filename
    4518779