In this paper we present an approach to person name disambiguation that clusters documents on the basis of simple textual features. The approach achieves an F-measure of B-Cubed Precision andRecall of 0.72 on the Clustering Subtask for WePS-2.Such task consists of clustering a set of documents that mentionan ambiguous person name according to the actual entities referred to that name.
XMedia: Web People Search by Clustering with Machinely Learned Similarity Measures
Romano, Lorenza;Giuliano, Claudio;
2009-01-01
Abstract
In this paper we present an approach to person name disambiguation that clusters documents on the basis of simple textual features. The approach achieves an F-measure of B-Cubed Precision andRecall of 0.72 on the Clustering Subtask for WePS-2.Such task consists of clustering a set of documents that mentionan ambiguous person name according to the actual entities referred to that name.File in questo prodotto:
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