Precision Event Coreference Resolution Using Neural Network Classifiers

Arun Pandian, Lamana Mulaffer, Kemal Oflazer, Amna AlZeyara


This paper presents a neural network classifier approach to detecting precise within-document (WD) and cross-document (CD) event coreference clusters effectively using only event mention based features. Our approach does not rely on any event argument features such as semantic roles or spatio-temporal arguments and uses no sophisticated clustering approach. Experimental results on the ECB+dataset show that our simple approach out performsstate-of-the-art methods for both within-document and cross-document event coreference resolution while producing clusters of high precision, which is useful for several downstream tasks.


Deep learning, event coreference, semantics

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