• DocumentCode
    1932210
  • Title

    A solution for resolving inter-sentential anaphoric pronouns for Vietnamese paragraphs composing two single sentences

  • Author

    Trung Tran ; Dang Tuan Nguyen

  • Author_Institution
    Fac. of Comput. Sci., Univ. of Inf. Technol., Ho Chi Minh City, Vietnam
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    The aim of this paper is proposing a solution for resolving inter-sentential anaphoric pronouns for Vietnamese paragraphs in which each paragraph composes only two single sentences. We present the solution through two phases: phase one is posing suitable finding antecedent strategies for each pronoun; phase two is presenting the mechanisms which are performed in GULP (Graph Unification Logic Programming) for implementing these strategies. In this research, we classify the paragraphs into four groups based on distinct characteristics so that we can propose the suitable finding antecedent strategy for each group.
  • Keywords
    logic programming; natural language processing; GULP; Vietnamese paragraph; antecedent strategy; graph unification logic programming; intersentential anaphoric pronoun; sentence structure; Analytical models; Calculators; Cities and towns; Educational institutions; Indexes; Pattern recognition; Syntactics; Anaphora Resolution; Anaphoric Pronoun; Discourse Representation; Inter-sentential Anaphora; Unification-based Grammar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4799-3399-0
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2013.7054120
  • Filename
    7054120