A trainable method for extracting Chinese entity names and their relations
Yimin Zhang, Joe F. Zhou · 2000
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.