Resumen

PANDIAN, Arun; MULAFFER, Lamana; OFLAZER, Kemal  y  ALZEYARA, Amna. Precision Event Coreference Resolution Using Neural Network Classifiers. Comp. y Sist. [online]. 2020, vol.24, n.1, pp.5-16.  Epub 27-Sep-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-24-1-3349.

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 outperforms state-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.

Palabras llave : Deep learning; event coreference; semantics.

        · texto en Inglés     · Inglés ( pdf )