Structured Generative Models for Unsupervised Named-Entity Clustering
by
Micha Elsner
,
Eugene Charniak
,
Mark Johnson
| Citations: | 4 - 1 self |
BibTeX
@MISC{Elsner_structuredgenerative,
author = {Micha Elsner and Eugene Charniak and Mark Johnson},
title = {Structured Generative Models for Unsupervised Named-Entity Clustering},
year = {}
}
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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 86 % on the MUC-7 named-entity dataset. To our knowledge, this is the best reported score for a fully unsupervised model, and the best score for a generative model. 1
