An equivalent pseudoword solution to Chinese word sense disambiguation

  • Authors:
  • Zhimao Lu;Haifeng Wang;Jianmin Yao;Ting Liu;Sheng Li

  • Affiliations:
  • Harbin Institute of Technology, Harbin, China;Toshiba (China) Research and Development Center, Beijing, China;Soochow University, Suzhou, China;Harbin Institute of Technology, Harbin, China;Harbin Institute of Technology, Harbin, China

  • Venue:
  • ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
  • Year:
  • 2006

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Abstract

This paper presents a new approach based on Equivalent Pseudowords (EPs) to tackle Word Sense Disambiguation (WSD) in Chinese language. EPs are particular artificial ambiguous words, which can be used to realize unsupervised WSD. A Bayesian classifier is implemented to test the efficacy of the EP solution on Senseval-3 Chinese test set. The performance is better than state-of-the-art results with an average F-measure of 0.80. The experiment verifies the value of EP for unsupervised WSD.