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Study on Chinese person name disambiguation based on multi-stage strategy

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 re-clustering 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.

Original languageEnglish
Title of host publicationProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Pages1177-1181
Number of pages5
DOIs
StatePublished - 2011
Event2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11 - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Publication series

NameProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Volume2

Conference

Conference2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11
Country/TerritoryChina
CityShanghai
Period26/07/1128/07/11

Keywords

  • bias classifier
  • cluster
  • disambiguation
  • multi-stage
  • person name

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