• DocumentCode
    2699837
  • Title

    Study on text semantic similarity in information retrieval

  • Author

    Rong, Feng ; Jun, Xiao

  • Author_Institution
    Sch. of Comput. Sci. & Eng. Dept. Name, South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    713
  • Lastpage
    717
  • Abstract
    Case grammar is a theory about sentence structure proposed by C.J.Fillmore. A sentence is composed of modal and proposition. A simple sentence is expressed of sentence stem and decorating case. Sentence stem is a kernel of the sentence. It includes infliction case, kernel verb case and acceptance case. This paper proposed a formalized model of the text semantic similarity and similarity algorithm based on the case grammar. The semantic meanings of a sentence stem decide the similarity of a sentence. To the similarity sentence, a vector is used for the decorating case to get similarity algorithm. In this way, it avoided the keyword barrier of the text retrieval based on keyword.
  • Keywords
    grammars; information retrieval; text analysis; acceptance case; case grammar; information retrieval; kernel verb case; keyword; sentence stem; sentence structure; text retrieval; text semantic similarity; Automation; Computer science; Content based retrieval; Educational institutions; Frequency; Information retrieval; Information science; Kernel; Natural languages; Statistics;
  • 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.2008.4608091
  • Filename
    4608091