• DocumentCode
    3369690
  • Title

    A method of Chinese organization named entities recognition based on statistical word frequency, part of speech and length

  • Author

    Yao, Xiying

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    28-30 Oct. 2011
  • Firstpage
    637
  • Lastpage
    641
  • Abstract
    We propose a recognition method based on statistics through analysis the grammatical and semantic characteristics of the Chinese organization name. This recognition method includes three elements: frequency, part of speech, word length. We use the data in mature collection as training data; separately calculate a candidate organization name´s word frequency, part of speech and word length of the contribution. Finally get this candidate organization name´s contribution, compare with a given threshold and achieve the recognition of a Chinese organization name.
  • Keywords
    grammars; speech recognition; statistics; Chinese organization name; entities recognition; grammatical characteristics; mature collection; part of speech; semantic characteristics; speech length; statistical word frequency; training data; word length; Accuracy; Character recognition; Hidden Markov models; Organizations; Speech; Training; Training data; Contribution; Statistics; the recognition of Chinese organization name;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-158-8
  • Type

    conf

  • DOI
    10.1109/ICBNMT.2011.6156013
  • Filename
    6156013