• DocumentCode
    1696533
  • Title

    Method and research on Chinese predicate recognition based on feature

  • Author

    Wang, Chengmin ; Peng, Jun

  • Author_Institution
    Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2010
  • Firstpage
    5698
  • Lastpage
    5701
  • Abstract
    This paper puts forward n method of Chinese predicate recognition based on the features study. And according to the sentence´s predicate center coming out of features, we obtain the characteristic knowledge of the predicate based on the language bank of artificial welled marks, and make use of characteristic knowledge to identify predicate. Finally, In the open test the accuracy rate of Chinese predicate recognition closes to 84%, and in the closed test the accuracy rate of Chinese predicate recognition closes to 86%.
  • Keywords
    natural language processing; pattern recognition; Chinese predicate recognition; artificial welled marks; language bank; sentence predicate; Natural Language Processing; Predicate recognition; Shallow Paring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554788
  • Filename
    5554788