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Collaborating Authors

 Bejan, Cosmin


Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution

Neural Information Processing Systems

We present a sequence of unsupervised, nonparametric Bayesian models for clustering complex linguistic objects. In this approach, we consider a potentially infinite number of features and categorical outcomes. We evaluate 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.