Study on Chinese Person Name Disambiguation Based on Multi-Stage Strategy

摘要：

Namesake is a very common phenomenon both in real world and in the Internet This paper combines the problem of name disambiguation with clustering technique and attempts to achieve the purpose of person name disambiguation through clustering technique by putting different texts pointing to the same person to one cluster. In this paper, we propose a multi-stage strategy for text clustering. In the first stage, the bias classifier is used to generate the initial categories. The second stage is a reclustering process of agglomerative hierarchical clustering to achieve the name disambiguation. Experimental results show that the method proposed in this paper can effectively improve the accuracy of person name disambiguation.

关键词： person name disambiguation multi-stage bias classifier cluster

作者: Wei Han Bing Xu Tiejun Zhao

作者单位: MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1225-1229

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）