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Structured generative models for unsupervised named-entity clustering

HLT-NAACL, pp.164-172, (2009)

Cited: 57|Views44
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Abstract

We describe a generative model for clustering named entities which also models named entity internal structure, clustering related words by role. The model is entirely unsupervised; it uses features from the named entity itself and its syntactic context, and coreference information from an unsupervised pronoun resolver. The model scores 8...More

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