Earticle

초록

영어

Word sense disambiguation (WSD) is an important research topic in natural language processing field, which is very useful for machine translation and information retrieval. In this paper, a linear combination model based on multiple discriminative features is proposed to determine correct sense of an ambiguous word, in which morphology and part of speech in left and right words around ambiguous word are used as features. Then, perceptron algorithm is applied to optimize the WSD model. Experiments show that the WSD performance is improved after the proposed method is applied.

목차

Abstract
 1. Introduction
 2. Discriminative Features in WSD Model
 3. WSD Classifier Based on Perceptron Algorithm
 4. Experiments
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhang Chun-Xiang [ College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China, School of Software, Harbin University of Science and Technology, Harbin 150080, China ]
• Gao Xue-Yao [ 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 ]

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