An algorithm for situation classification of Chinese verbs

  • Authors:
  • Xiaodan Zhu;Chunfa Yuan;K. F. Wong;Wenjie Li

  • Affiliations:
  • Tsinghua University, Beijing, P.R.C.;Tsinghua University, Beijing, P.R.C.;Chinese University of Hong Kong;Chinese University of Hong Kong

  • Venue:
  • CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
  • Year:
  • 2000

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Abstract

Temporal information analysis is very important for Chinese Information Process. Comparing with English, Chinese is quite different in temporal information expression. Based on the feature of Chinese a phase-based method is proposed to deal with Chinese temporal information. To this end, an algorithm is put forward to classify verbs into different situation types automatically. About 2981 verbs were tested. The result has shown that the algorithm is effective.