• DocumentCode
    2256136
  • Title

    Chinese question classification based on mining association rules

  • Author

    Sun, Yong-le

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Weifang Univ., Weifang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    413
  • Lastpage
    416
  • Abstract
    In this paper, a method of Chinese question classification based on the mining association rules is proposed. Words and Bi-gram are extracted from question as classific features. The method can mine the association rules between the type of the question and its classific features, to construct an association rules - based database. At last the type of the question is marked by choosing the type which the most association rules define. Experimental results show that the proposed method is feasible and can achieve good performance.
  • Keywords
    data mining; information retrieval; natural language processing; Chinese question classification; association rules mining; natural language processing; Association rules; Classification algorithms; Databases; Feature extraction; Machine learning; Taxonomy; Training; Association rules; Nature Language Processing; Question classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5581026
  • Filename
    5581026