A Method for Estimating Strength of Association and Its Application to Structural Disambiguation

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著者

    • WU Haodong
    • The University of Electro-Communications,. Department of Computer Science
    • FURUGORI Teiji
    • The University of Electro-Communications, Department of Computer Science

抄録

This paper proposes a new class-based method for estimating the strength of association for word co-occurrences. To deal with sparseness of data we first use a conceptual dictionary to find upper classes of the words in the co-occurrence relation. We then use t-scores to determine a pair of classes to be used in the estimation. The strength of association for the word co-occurrence is calculated using the classes thus obtained. We have applied our method to determining dependency relations in Japanese and prepositional phrase attachment in English. The experimental results show that our method is sound, effective and useful in resolving different types of ambiguities.

収録刊行物

  • 自然言語処理 = Journal of natural language processing

    自然言語処理 = Journal of natural language processing 5(3), 53-65, 1998-07-10

    一般社団法人 言語処理学会

参考文献:  19件中 1-19件 を表示

被引用文献:  3件中 1-3件 を表示

各種コード

  • NII論文ID(NAID)
    10008827728
  • NII書誌ID(NCID)
    AN10472659
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    13407619
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
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