Coreference Resolution with Entity Equalization
Б. Я. Кантор, Amir Globerson · 2019
A key challenge in coreference resolution is to capture properties of entity clusters, and use those in the resolution process.Here we provide a simple and effective approach for achieving this, via an "Entity Equalization" mechanism.The Equalization approach represents each mention in a cluster via an approximation of the sum of all mentions in the cluster.We show how this can be done in a fully differentiable end-to-end manner, thus enabling high-order inferences in the resolution process.Our approach, which also employs BERT embeddings, results in new stateof-the-art results on the CoNLL-2012 coreference resolution task, improving average F1 by 3.6%. 1