Abstraction of Pattern Rule Set for detecting Noun Phrase based on Linguistic Hypothesis

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概要

• 論文の詳細を見る

• Precise noun phrase detection is a significant technology in syntactic analysis. This paper deals with a simple method to refine a pattern rule set extracted from a large corpus. First, the pattern rule set is abstracted in the form of regular expression by simple hypothesis. Then, a refining algorithm removes ineffective rules from the pattern rule set. As a result of experiment on an evaluation corpus, the accuracy of noun phrase detection reaches aroud 78% in sentence.

• 一般社団法人情報処理学会の論文
• 2004-03-04

著者

• Adachi A

  Fujitsu Co. Ltd.

• Adachi Akira

  Division Of Media Solution Fujitsu Co. Limitted

• Goriouchkina Ekaterina

  Department Of Information Sciences Toho University

• MAKINO TAKENORI

  Department of Information Sciences Toho University

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• Abstraction of Pattern Rule Set for detecting Noun Phrase based on Linguistic Hypothesis
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