• DocumentCode
    2646307
  • Title

    Chinese definitional question answering based on soft pattern and ontology

  • Author

    Jia, Ke-liang ; Fan, Xiao-Zhong ; Xu, Jin-zhong

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • Volume
    3
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    1187
  • Lastpage
    1191
  • Abstract
    A typical definitional question answering system extracts definition sentences from multiple documents and summarizes the sentences into definitions. In this paper, a new approach is proposed to extract definitional sentences from Web corpus, which is based on soft pattern and ontology. Soft pattern is used to judge whether sentences are definitional with syntactic analysis and ontology can deduce the definitional one with semantic information. The experimental result validates the effectiveness of this method, and the precision reaches 32.7% and is 5.2% higher than the method only based on soft pattern.
  • Keywords
    Internet; natural language processing; ontologies (artificial intelligence); query processing; Chinese definitional question answering; Web corpus; definition sentences extraction; ontology; soft pattern; syntactic analysis; Data mining; Information analysis; Information retrieval; Natural languages; Notice of Violation; Ontologies; Pattern analysis; Pattern matching; Pattern recognition; Wavelet analysis; HowNet; definitional question answering; ontology; soft pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421613
  • Filename
    4421613