• DocumentCode
    2475284
  • Title

    Chinese sentence similarity research based on semantic string

  • Author

    Yong-Liang Pei ; Gu, Xiao-Feng

  • Author_Institution
    Sch. of Software Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    413
  • Lastpage
    416
  • Abstract
    The computation of Chinese sentence similarity has been widely used in many areas. However, due to the complexity of Chinese, currently, there have no corresponding algorithms to solve computation of sentence similarity at home and abroad. This paper represents an improved method of the computation of words similarity firstly, and then on this basis, the structure of semantic string has been given and calculating the impact factor of semantic string, lastly, the improved algorithm of computation of sentence similarity has been presented based on it. The experiment of a certain data sets shows that the improved algorithm is effective.
  • Keywords
    natural language processing; Chinese sentence similarity research; impact factor; semantic string; Current measurement; Educational institutions; Medical services; Semantics; USA Councils; HowNet; NLP; Tracking; artificially intelligence; semantic string; sentence similarity; word similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8025-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2010.5709931
  • Filename
    5709931