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Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews
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@MISC{Jakob_usinganaphora,
author = {Niklas Jakob and Technische Universität Darmstadt and Iryna Gurevych and Technische Universität Darmstadt},
title = {Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews},
year = {}
}
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Abstract
Current work on automatic opinion mining 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 experiments on a movie review corpus demonstrate, that an unsupervised anaphora resolution algorithm significantly improves the opinion target extraction. We furthermore suggest domain and task specific extensions to an off-the-shelf algorithm which in turn yield significant improvements. 1
Keyphrases
movie review anaphora resolution opinion target identification opinion target baseline opinion mining system different anaphora resolution system opinion target extraction off-the-shelf algorithm anaphorical pronoun significant number movie review corpus demonstrate current work unsupervised anaphora resolution automatic opinion mining suggest domain turn yield significant improvement off-the-shelf anaphora resolution algorithm task specific extension
