Konferenzbeitrag

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

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.

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

Urheber*in: Wiegand, Michael; Ruppenhofer, Josef

Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International

Sprache
Englisch

Thema
Automatische Sprachanalyse
Propositionale Einstellung
Meinungsverb
Linguistik

Ereignis
Geistige Schöpfung
(wer)
Wiegand, Michael
Ruppenhofer, Josef
Ereignis
Veröffentlichung
(wer)
Association for Computational Linguistics
(wann)
2016-09-01

URN
urn:nbn:de:bsz:mh39-52305
Letzte Aktualisierung
06.03.2025, 09:00 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
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Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Wiegand, Michael
  • Ruppenhofer, Josef
  • Association for Computational Linguistics

Entstanden

  • 2016-09-01

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