TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
A1  - Ruppenhofer, Josef
T1  - Opinion Holder and Target Extraction based on the Induction of Verbal Categories
T2  - Proceedings of the 19th Conference on Computational Language Learnung, Beijing China, July 30-31, 2015
N2  - We present an approach for opinion role induction for verbal predicates. Our model rests on the assumption that opinion verbs can be divided into three different types where each type is associated with a characteristic mapping between semantic roles and opinion holders and targets. In several experiments, we demonstrate the relevance of those three categories for the task. We show that verbs can easily be categorized with semi-supervised graphbased clustering and some appropriate similarity metric. The seeds are obtained through linguistic diagnostics. We evaluate our approach against a new manually-compiled opinion role lexicon and perform in-context classification.
KW  - Automatische Sprachanalyse
KW  - Propositionale Einstellung
KW  - Meinungsverb
Y1  - 2015
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-52305
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-52305
SN  - 978-1-941643-77-8
SB  - 978-1-941643-77-8
SP  - 215
EP  - 225
PB  - Association for Computational Linguistics
ER  -