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CU-COMSEM: exploring rich features for unsupervised web personal name disambiguation
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FICO: web person disambiguation via weighted similarity of entity contexts
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IRST-BP: web people search using name entities
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JHU1: an unsupervised approach to person name disambiguation using web snippets
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PSNUS: web people name disambiguation by simple clustering with rich features
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SHEF: semantic tagging and summarization techniques applied to cross-document coreference
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This paper presents the task definition, resources, participation, and comparative results for the Web People Search task, which was organized as part of the SemEval-2007 evaluation exercise. This task consists of clustering a set of documents that mention an ambiguous person name according to the actual entities referred to using that name.