• DocumentCode
    2700422
  • Title

    Zero pronoun resolution in Chinese using machine learning plus shallow parsing

  • Author

    Yang, Weijie ; Dai, Ruwei ; Cui, Xia

  • Author_Institution
    Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    905
  • Lastpage
    910
  • Abstract
    This paper proposed a new method to detect and resolve zero pronouns in Chinese text with integrated automatic main verbs identification, verbal logic valence and machine learning approach. Zero pronoun recognition was treated as the problem of finding missing verbs logic arguments. First, based on automatic main verbs identification, syntax hierarchies were analysed. Second, combining the syntax hierarchy and verbal logic valence theory, zero pronouns were identified. And then using a machine learning approach, zero pronouns were resolved. Experimental results on 150 news articles indicated that the precision and recall of zero pronoun detection is 72.9% and 92.7% respectively, and the accuracy of antecedent estimation is 64.3%. . These results demonstrated this zero pronouns identifying and resolving method works effectively.
  • Keywords
    learning (artificial intelligence); natural language processing; text analysis; Chinese text; antecedent estimation; automatic main verbs identification; machine learning; shallow parsing; syntax hierarchies; verbal logic valence; zero pronoun recognition; zero pronoun resolution; Automatic logic units; Automation; Frequency; Gold; Intelligent systems; Laboratories; Learning systems; Machine learning; Natural languages; Research and development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4608128
  • Filename
    4608128