Paper: Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction

ACL ID E12-1033
Title Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper, we compare three different generalization methods for in-domain and cross-domain opinion holder extraction be- ing simple unsupervised word clustering, an induction method inspired by distant supervision and the usage of lexical re- sources. The generalization methods are incorporated into diverse classifiers. We show that generalization causes significant improvements and that the impact of im- provement depends on the type of classifier and on how much training and test data dif- fer from each other. We also address the less common case of opinion holders being realized in patient position and suggest ap- proaches including a novel (linguistically- informed) extraction method how to detect those opinion holders without labeled train- ing data as standard datasets contain t...