Paper: From Words to Senses: A Case Study of Subjectivity Recognition

ACL ID C08-1104
Title From Words to Senses: A Case Study of Subjectivity Recognition
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

We determine the subjectivity of word senses. To avoid costly annotation, we evaluate how useful existing resources es- tablished in opinion mining are for this task. We show that results achieved with existing resources that are not tailored to- wards word sense subjectivity classifica- tion can rival results achieved with super- vision on a manually annotated training set. However, results with different re- sources vary substantially and are depen- dent on the different definitions of subjec- tivity used in the establishment of the re- sources.