• DocumentCode
    2352759
  • Title

    Multiword Expression Recognition Using Multiple Sequence Alignment

  • Author

    Li, Ru ; Zhong, Lijun ; Duan, Jianyong

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Shanxi Univ., Taiyuan
  • fYear
    2008
  • fDate
    23-25 July 2008
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    For the Multiword Expression (MWE) recognition, the Multiple Sequence Alignment (MSA) is proposed on the motivation of gene recognition. Because textual sequence is similar to gene sequence in pattern analysis. This MSA technique is combined with error-driven rules, with the improved efficiency beyond the traditional methods.It provides a guarantee for the MWE recall. It uses the dynamic programming method to prevent candidates from combinational explosion, and provides a global solution for pattern extraction instead of sub-pattern redundancy. Consequently, it has accurate measures for flexible patterns. In experiment, some advanced statistical measures are performed for ranking candidates. In the comparison experiment, the MSA approach achieved better results.
  • Keywords
    computational linguistics; dynamic programming; feature extraction; sequences; statistical analysis; dynamic programming; error-driven rule; multiple sequence alignment; multiword expression recognition; pattern extraction; statistical measure; textual sequence; Computational intelligence; Computer science; Computer science education; Data mining; Filters; Frequency; Information processing; Information technology; Laboratories; Natural languages; Error-driven rule; Multiword Expression; Sequence Alignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
  • Conference_Location
    Dalian Liaoning
  • Print_ISBN
    978-0-7695-3273-8
  • Type

    conf

  • DOI
    10.1109/ALPIT.2008.71
  • Filename
    4584355