• DocumentCode
    578164
  • Title

    Similarity calculation of fusion sentence surface information and the syntax structure

  • Author

    Kang, Hai-yan ; Li, Qing-hua ; Yuan, Xiao-jiao ; Ren, Jun-ling

  • Author_Institution
    Beijing Key Lab. of Internet Culture & Digital Dissemination, Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • Volume
    2
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    773
  • Lastpage
    778
  • Abstract
    Similarity calculation is an important issue in the fields such as the question answering system, information retrieval and so on. This paper designs a model which fuses sentence surface information and the syntax structure for similarity calculation. In the calculation of the sentence similarity, firstly, it considers sentence surface information with two factors of the number of the same keywords and keywords order. Then it considers the similarity of syntactic structure. Finally, the two are combined to calculate the similarity of the sentence for answer extraction. Based on the above algorithms, a facing web intelligent QA system/retrieval system is developed in Java EE platform, Experiments show that the algorithm can effectively improve the performance of the system.
  • Keywords
    Internet; Java; question answering (information retrieval); Java EE platform; Web intelligent QA system; answer extraction; fusion sentence surface information; information retrieval; question answering system; similarity calculation; syntax structure; Abstracts; Accuracy; Mice; Similarity calculation; answer extraction; information retrieval; question answering system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359023
  • Filename
    6359023