Two-Phase S-Clause Segmentation(Natural Language Processing)

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著者

    • KIM Mi Young
    • Division of Electrical and Computer Engineering, Pohang University of Science and Technology (POSTECH) and AITrc
    • LEE Jong Hyeok
    • Division of Electrical and Computer Engineering, Pohang University of Science and Technology (POSTECH) and AITrc

抄録

When a dependency parser analyzes long sentences with fewer subjects than predicates, it is difficult for it to recognize which predicate governs which subject. To handle such syntactic ambiguity between subjects and predicates, we define an "a subject clause (s-clause)" as a group of words containing several predicates and their common subject. This paper proposes a two-phase method for S-clause segmentation. The first phase reduces the number of candidates of S-clause boundaries, and the second performs S-clause segmentation using decision trees. In experimental evaluation, the S-clause information turned out to be effective for determining the governor of a subject and that of a predicate in dependency parsing. Further syntactic analysis using S-clauses achieved an improvement in precision of 5 percent.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems E88-D(7), 1724-1736, 2005-07-01

    一般社団法人電子情報通信学会

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各種コード

  • NII論文ID(NAID)
    10016777750
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09168532
  • データ提供元
    CJP書誌  NII-ELS 
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