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Term matching plays an important role in natural language processing and knowledge mining. Matching of term sets can enhance the semantic information of terms and improve the precision of term matching, which is crucial for the development of term matching. Therefore, in view of the diversity of the current terminology set matching methods, this paper classifies and compares the commonly used and classical methods in the research area through a survey, and combines the achievements and results of the existing scholars' research, which is beneficial to the future research

Research Status and Development Trend of Chinese Terminology Set Matching