Improving Parsing Performance Using Corpus-Based Temporal Expression Analysis(Natural Language Processing)

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概要

• 論文の詳細を見る

• This paper presents a method for improving the performance of syntactic analysis by using accurate temporal expression processing. Temporal expression causes parsing errors due to its syntactic duality, but its resolution is not trivial since the syntactic role of temporal expression is understandable in the context. In our work, syntactic functions of temporal words are decisively identified based on local contexts of individual temporal words acquired from a large corpus, which are represented by a finite state method. Experimental results show how the proposed method, incorporated with parsing, improves the accuracy and efficiency of the syntactic analysis.

• 社団法人電子情報通信学会の論文
• 2004-12-01

著者

• Rim Hae-chang

  Dept. Of Computer Science And Engineering Korea University

• Rim Hae-chang

  Dept. Of Computer And Radio Communications Engineering Korea University

• YOON Juntae

  Daumsoft Inc., NLP Lab.

• KIM Seonho

  Dept. of Computer Science and Engineering, Korea University

• Kim Seonho

  Dept. Of Computer Science And Engineering Korea University

• Yoon Juntae

  Daumsoft Inc.

• Yoon Juntae

  Daumsoft Inc. Nlp Lab.

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