• DocumentCode
    2574667
  • Title

    Kernel methods and its application in Relation Extraction

  • Author

    Zhang, Xiaofeng ; Gao, Zhiqiang ; Zhu, Man

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1362
  • Lastpage
    1365
  • Abstract
    Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation extraction. In this paper, various kernel methods in relation extraction from free text are discussed, including syntactic parsing, kernel functions, as well as their training algorithms. Major difficulties and future research directions are concluded.
  • Keywords
    information retrieval; text analysis; free text; information extraction; kernel functions; relation extraction; syntactic parsing; Convolution; Data mining; Feature extraction; Kernel; Machine learning; Semantics; Syntactics; Kernel Method; Relation Extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5972181
  • Filename
    5972181
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2574667