Using fuzzy sets and genetic algorithm for Chinese verb classification

Wei Li, Chunfa Yuan, Kam Fai Wong, Chun Hung Cheng, Wenjie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Verb classification is very important for temporal information analysis and semantic understanding. In English, this topic has been fully studied. However, there are few works and no systematic approaches in Chinese up to now. We propose a new approach using fuzzy sets and genetic algorithm for Chinese verb classification. Its contribution lies in two aspects: it (a) provides a flexible and systematic framework for solving this problem; and (b) achieves high precision in experiments.
Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages2112-2116
Number of pages5
Publication statusPublished - 17 Sep 2004
EventWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China
Duration: 15 Jun 200419 Jun 2004

Conference

ConferenceWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
CountryChina
CityHangzhou
Period15/06/0419/06/04

Keywords

  • Chinese verb classification
  • Fuzzy set
  • Genetic algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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