Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution

Cosmin Adrian Bejan, Matthew Titsworth, Andrew Hickl, Sanda M. Harabagiu · 2009

We present a sequence of unsupervised, nonparametric Bayesian models for clus-tering complex linguistic objects. In this approach, we consider a potentially infi-nite number of features and categorical outcomes. We evaluated these models for the task of within- and cross-document event coreference on two corpora. All the models we investigated show significant improvements when compared against an existing baseline for this task. 1

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