Uday Babbar

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This paper describes our entry to the 2011 CoNLL closed task (Pradhan et al., 2011) on modeling unrestricted coreference in OntoNotes. Our system is based on the Reconcile coreference resolution research platform. Reconcile is a general software infrastructure for the development of learning-based noun phrase (NP) coreference resolution systems. Our entry(More)
This paper presents an algorithm to automatically determine the number of clusters in a given input data set, under a mixture of Gaussians assumption. Our algorithm extends the Expectation- Maximization clustering approach by starting with a single cluster assumption for the data, and recursively splitting one of the clusters in order to find a tighter fit.(More)
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