Text and knowledge mining for coreference resolution
Sanda M. Harabagiu, Răzvan Bunescu, Steven J. Maiorano · 2001
Traditionally coreference is resolved by satisfying a combination of salience, syntactic, semantic and discourse constraints. The acquisition of such knowledge is time-consuming, difficult and error-prone. Therefore, we present a knowledge minimalist methodology of mining coreference rules from annotated text corpora. Semantic consistency evidence, which is a form of knowledge required by coreference, is easily retrieved from WordNet. Additional consistency knowledge is discovered by a meta-bootstrapping algorithm applied to unlabeled texts.