Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance

04/20/2021
by   Sopan Khosla, et al.
0

Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features. SOTA models do not make use of hierarchical representations of discourse structure. In this work, we leverage automatically constructed discourse parse trees within a neural approach and demonstrate a significant improvement on two benchmark entity coreference-resolution datasets. We explore how the impact varies depending upon the type of mention.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset