A study on antecedent decision rules for natural language requirements document in Korean

  • Ki Seon Park*
  • , Moon Kun Lee
  • , Dong Un An
  • , Yong Seok Lee
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    In the characteristically Requirements Document (RD), the pronoun is scarcely used in RD in general. But if we would like to get the higher accuracy in analysis of RD automatically, antecedent decision of pronoun is very important for elicitation of formal requirements (i.e. component, action, statement and parameters etc.) automatically from Natural Language Requirements Document(NLRD) via Natural Language Processing(NLP). In this paper, we propose the Antecedent Decision Rule(ADR) to decide antecedent of pronoun from NLRD in Korean via NLP. Pronoun can be classified in personal pronoun and demonstrative pronoun. In the RD, a personal pronoun is almost not occured so we are focused on antecedent decision for a demonstrative pronoun. The purpose of this paper is to describe the ADR that is used in postprocessing to reduce a burden of Morphological Analysis and Parsing, so our approach can describe additional rules because every rule are applied in the postprocessing. We carried out an experiment with five brief NLRD added pronoun in.

    Original languageEnglish
    Title of host publicationProceedings - 2007 International Symposium on Information Technology Convergence, ISITC 2007
    Pages311-314
    Number of pages4
    DOIs
    StatePublished - 2007
    Event2007 International Symposium on Information Technology Convergence, ISITC 2007 - Jeonju, Korea, Republic of
    Duration: 2007.11.232007.11.24

    Publication series

    NameProceedings - 2007 International Symposium on Information Technology Convergence, ISITC 2007

    Conference

    Conference2007 International Symposium on Information Technology Convergence, ISITC 2007
    Country/TerritoryKorea, Republic of
    CityJeonju
    Period07.11.2307.11.24

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Communication & Media Studies

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