Paper: Integrating Knowledge for Subjectivity Sense Labeling

ACL ID N09-1002
Title Integrating Knowledge for Subjectivity Sense Labeling
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

This paper introduces an integrative approach to automatic word sense subjectivity annota- tion. We use features that exploit the hier- archical structure and domain information in lexical resources such as WordNet, as well as other types of features that measure the sim- ilarity of glosses and the overlap among sets of semantically related words. Integrated in a machine learning framework, the entire set of features is found to give better results than any individual type of feature.