• DocumentCode
    2034147
  • Title

    Using word form tag templates for automatically recognizing the inter-sentence semantic relation

  • Author

    Zhong, Maosheng

  • Author_Institution
    Sch. of Inf. Eng., East China Jiaotong Univ., Nanchang, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2403
  • Lastpage
    2407
  • Abstract
    The inter-sentence semantic relation is a semantic relation where exists between adjacent sentences in the context of the discourse. Accurate recognizing of inter-sentence semantic relation is of great significance to text understanding, text reasoning and text structure analysis. However, because of the impact of a number of factors, such as discourse context environment, anaphora resolution and syntactic structure, which make that the research on automatic recognizing the inter-sentence semantic relation is very difficult. On the base of the classification of inter-sentence semantic relation and its corresponding word-form tags summarized by the specialists in linguistics, this paper presented a method on automatically recognizing the inter-sentence semantic relation in the context of the discourse, included the way of obtaining the words form tag template, the way of template conflict resolution and the algorithm of recognizing the inter-sentence semantic relation. The experiment results show that the proposed method has high performance for recognizing the inter-sentence semantic relation.
  • Keywords
    natural language processing; text analysis; automatic recognition; intersentence semantic relation; text reasoning; text structure analysis; text understanding; word form tag template; Computers; Context; Manuals; Pragmatics; Semantics; Taxonomy; Text recognition; Inter-sentence semantic relation; Inter-sentence semantic relation recognizing; Template conflict resolution; Word form tag templates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569520
  • Filename
    5569520