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ICADL
2007
Springer

Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach

11 years 7 months ago
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach
Most of the previous works that disambiguate personal names in Web search results often employ agglomerative clustering approaches. In contrast, we have adopted a semi-supervised clustering approach in order to guide the clustering more appropriately. Our proposed semi-supervised clustering approach is novel in that it controls the fluctuation of the centroid of a cluster, and achieved a purity of 0.72 and inverse purity of 0.81, and their harmonic mean F was 0.76.
Kazunari Sugiyama, Manabu Okumura
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICADL
Authors Kazunari Sugiyama, Manabu Okumura
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