Name Disambiguation Based on Dependency Feature in Web Page Text
Qiaoming Zhu · Jisuanji gongcheng · 2012
This paper works on the common ambiguity problem on Internet.The following is the proposed method: extract the dependency features which are related to the key name entities in the Web page text,while extract supporting features such as named entity extraction;cluster these features by a two-step cluster algorithm which clusters the documents with high reliability in the first stage and then merges the other documents to the existing clustering results.Experimental result shows that the proposed disambiguation system has better performance than common methods.