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Author Jakob, Niklas ♦ Gurevych, Iryna
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword 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
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
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Institution Technische Universität Darmstadt