• DocumentCode
    2550752
  • Title

    Question trunks and focus extraction based on question dependency syntax conversion

  • Author

    Liu, Yuehong ; Yu, Zhengtao ; Mao, Cunli ; Guo, Jianyi ; Xian, Yantuan

  • Author_Institution
    Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    959
  • Lastpage
    963
  • Abstract
    For the problems of extracting question trunks and focus extraction completely by conventional dependency syntax parsing, this paper presents a method of question trunks and focus extraction oriented to question dependency syntax conversion with the characteristics of the questions. The method defines a number of combining rules of question dependency relations. According to the rules, we do merger, conversion and removal to parts component of question syntax, and extract the question trunks and focus based on question dependency syntactic structure. The experimental results show that the proposed method of question trunks and focus extraction based on dependency syntax conversion achieved good results.
  • Keywords
    grammars; natural language processing; question answering (information retrieval); Chinese question; dependency syntax parsing; focus extraction; question dependency syntactic structure; question dependency syntax conversion; question trunk extraction; Accuracy; Buildings; Data mining; Educational institutions; Layout; Speech; Syntactics; Question Dependency Syntax Conversion; Question Dependency Syntax Parsing; Question Focus Extraction; Question Sentences Analysis; Question Trunks Extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234230
  • Filename
    6234230