@inproceedings{miculicich2022graph,
author = {Miculicich, Lesly and Henderson, James},
title = {Graph Refinement for Coreference Resolution},
booktitle = {ACL 2022},
year = {2022},
month = {May},
abstract = {The state-of-the-art models for coreference resolution are based on independent mention pair-wise decisions. We propose a modelling approach that learns coreference at the document-level and takes global decisions. For this purpose, we model coreference links in a graph structure where the nodes are tokens in the text, and the edges represent the relationship between them. Our model predicts the graph in a non-autoregressive manner, then iteratively refines it based on previous predictions, allowing global dependencies between decisions. The experimental results show improvements over various baselines, reinforcing the hypothesis that document-level information improves conference resolution.},
url = {http://approjects.co.za/?big=en-us/research/publication/graph-refinement-for-coreference-resolution/},
}