A trainable method for extracting Chinese entity names and their relations

Authors:
Yimin Zhang;Joe F. Zhou
Affiliations:
Intel China Research Center, Chaoyang District, Beijing, P.R. China;Intel China Research Center, Chaoyang District, Beijing, P.R. China
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

In this paper we propose a trainable method for extracting Chinese entity names and their relations. We view the entire problem as series of classification problems and employ memory-based learning (MBL) to resolve them. Preliminary results show that this method is efficient, flexible and promising to achieve better performance than other existing methods.