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논문검색

Chinese Word Sense Disambiguation Based on Beam Search

원문정보

Zhang Chun-Xiang, He Shan, Gao Xue-Yao, Lu Zhi-Mao

보안공학연구지원센터(IJSIA) International Journal of Security and Its Applications Vol.9 No.11 2015.11 pp.209-216
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초록

영어

Research on word sense disambiguation (WSD) is of great importance in natural language processing. In this paper, a new method based on beam search algorithm for Chinese WSD is proposed. By mining potential knowledge between phrase and semantic category in a sentence, this approach can construct its semantic network. It searches an optimal semantic category sequence from a Chinese sentence's semantic network with beam search algorithm, so that correct meanings of ambiguous words can be found from the optimal sequence. Experiments show that a better WSD performance is gotten.

목차

Abstract
 1. Introduction
 2. Translation Model
 3. Beam Search for WSD
 4. Experiments
 Conclusion
 References

키워드

저자정보

  • Zhang Chun-Xiang School of Software, Harbin University of Science and Technology, Harbin 150080, China
  • He Shan School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
  • Gao Xue-Yao School of Software, Harbin University of Science and Technology, Harbin 150080, China, School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
  • Lu Zhi-Mao School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China

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자료제공 : 네이버학술정보

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