Earticle

초록

영어

Word sense disambiguation (WSD) is important to many application problems in natural language processing fields, such as machine translation, parsing analysis and information retrieval. In this paper, we propose a new method to determine correct sense categories of Chinese words based on linguistics knowledge. The left word string and the right word string around the ambiguous word are respectively analyzed. Their syntactic structures are obtained for determining its intended sense. Syntactic category and part of speech are extracted as disambiguation features. A naive bayesian model is used as the classifier. Experimental results showed that the accuracy rate of classification arrives at 64%. The performance of disambiguation is improved.

목차

Abstract
 1. Introduction
 2. Extract Disambiguation Features from Parsing Tree
 3. Disambiguation classifier for determining sense
 4. Experiment
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Chun-Xiang Zhang [ School of Software, Harbin University of Science and Technology, Harbin 150080, China ]
• Long Deng [ College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
• Xue-Yao Gao [ College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
• Zhi-Mao Lu [ School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605