Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
نویسندگان
چکیده
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 evaluated these models for the task of withinand cross-document event coreference on two corpora. All the models we investigated show significant improvements when compared against an existing baseline for this task.
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تاریخ انتشار 2009