Unsupervised Event Coreference Resolution with Rich Linguistic Features

This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering complex linguistic objects, these models consider a potentially infinite number of features and categorical outcomes. The evaluation performed for solving both within- and cross-document event coreference shows significant improvements of the models when compared against two baselines for this task.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Cosmin Adrian Bejan, Sanda M. Harabagiu
• Keywords: ACL 2010, Computational Linguistics, Event Coreference, Event Coreference Task, Nonparametric Bayesian Models