Paper: Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews

ACL ID P10-2049
Title Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

Current work on automatic opinion min- ing has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we empirically evaluate whether using an off-the-shelf anaphora resolution algorithm can improve the performance of a baseline opinion mining system. We present an analysis based on two different anaphora resolution systems. Our exper- iments on a movie review corpus demon- strate, that an unsupervised anaphora reso- lution algorithm significantly improves the opinion target extraction. We furthermore suggest domain and task specific exten- sions to an off-the-shelf algorithm which in turn yield significant improvements.