• DocumentCode
    2836862
  • Title

    Entity-Relation Extraction for Chinese Based on Pattern Evolution and PageRank

  • Author

    Liu, Yaqing ; Chen, Rong ; Yang, Hong

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on DIPRE, we use such knowledge as synonymy relation and hyponymy relation to evolve the extraction pattern in order to make the extraction pattern set become more expressive. Additionally, we use PageRank algorithm for reference to rank these entity-pairs in final result set so that the result set is global optimum. Experiments reveal that the new algorithm may not only enhance recall rate but greatly enhance precision rate.
  • Keywords
    feature extraction; pattern recognition; Chinese based; DIPRE; enhance precision rate; enhance recall rate; entity relation extraction; extraction pattern set; global optimum result set; hyponymy relation; pagerank algorithm; pattern evolution; synonymy relation knowledge; Clustering algorithms; Data mining; Information science; Iterative methods; Kernel; Learning systems; Machine learning algorithms; Tagging; Tree graphs; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5364487
  • Filename
    5364487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2836862