Graph Mutual Reinforcement Based Bootstrapping

摘要：

In this paper,we present a new bootstrapping method based on Graph Mutual Reinforcement (GMR-Bootstrapping) to learn semantic lexicons.The novelties of this work include I) We integrate Graph Mutual Reinforcement method with the Bootstrapping structure to sort the candidate words and patterns; 2) Patterns uncertainty is defined and used to enhance GMR-Bootstrapping to learn multiple categories simultaneously.Experimental results on MUC4 corpus show that GMR-Bootstrapping outperforms the state-of-the-art algorithms.We also use it to extract names of automobile manufactures and models from Chinese corpus.It achieves good results too.

作者: Qi Zhang Yaqian Zhou Xuanjing Huang Lide Wu

作者单位: Department of Computer Science and Engineering,Fudan University

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 203-212

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）