• DocumentCode
    2100164
  • Title

    The research of the entity relation extraction based on statistical model

  • Author

    Zhang, Suxiang

  • Author_Institution
    Department of Electronic and Communication Engineering of North China Electric Power University, 071003, Baoding, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1625
  • Lastpage
    1628
  • Abstract
    Entity relation extraction is the important research field in many languages processing, such as the knowledge management, semantic network, information retrieval and information extraction. In this paper, some specific entity relations can be extracted in the football match domain, firstly, the definition of the five types relation had been defined. Based on the conditional random fields, aiming to each relation type, the different features were discussed. The approach is effective when evaluated on the data set.
  • Keywords
    Data mining; Feature extraction; Kernel; Machine learning; Semantics; Silicon; Training; Conditional Random Fields; Entity Relation Extraction; Evaluation; Information Extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5689292
  • Filename
    5689292