Using mention accessibility to improve coreference resolution
Kellie Webster, Joel Nothman · 2016
Modern coreference resolution systems require linguistic and general knowledge typically sourced from costly, manually curated resources.Despite their intuitive appeal, results have been mixed.In this work, we instead implement fine-grained surface-level features motivated by cognitive theory.Our novel fine-grained feature specialisation approach significantly improves the performance of a strong baseline, achieving state-of-the-art results of 65.29 and 61.13% on CoNLL-2012 using gold and automatic preprocessing, with system extracted mentions.