Paper: Exploiting Semantic Role Labeling WordNet And Wikipedia For Coreference Resolution

ACL ID N06-1025
Title Exploiting Semantic Role Labeling WordNet And Wikipedia For Coreference Resolution
Venue Human Language Technologies
Session Main Conference
Year 2006
Authors

In this paper we present an extension of a machine learning based coreference res- olution system which uses features in- duced from different semantic knowledge sources. These features represent knowl- edge mined from WordNet and Wikipedia, as well as information about semantic role labels. We show that semantic features in- deed improve the performance on differ- ent referring expression types such as pro- nouns and common nouns.