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 language | English |
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Title of host publication | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
Pages | 2112-2116 |
Number of pages | 5 |
Publication status | Published - 17 Sept 2004 |
Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004 |
Conference
Conference | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
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Country/Territory | China |
City | Hangzhou |
Period | 15/06/04 → 19/06/04 |
Keywords
- Chinese verb classification
- Fuzzy set
- Genetic algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Science Applications