Konferenzbeitrag
Effect Functors for Opinion Inference
Sentiment analysis has so far focused on the detection of explicit opinions. However, of late implicit opinions have received broader attention, the key idea being that the evaluation of an event type by a speaker depends on how the participants in the event are valued and how the event itself affects the participants. We present an annotation scheme for adding relevant information, couched in terms of so-called effect functors, to German lexical items. Our scheme synthesizes and extends previous proposals. We report on an inter-annotator agreement study. We also present results of a crowdsourcing experiment to test the utility of some known and some new functors for opinion inference where, unlike in previous work, subjects are asked to reason from event evaluation to participant evaluation.
- Language
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Englisch
- Subject
-
Sprache
- Event
-
Geistige Schöpfung
- (who)
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Ruppenhofer, Josef
Brandes, Jasper
- Event
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Veröffentlichung
- (who)
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Paris : European Language Resources Association (ELRA)
- (when)
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2016-11-08
- URN
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urn:nbn:de:bsz:mh39-55002
- Last update
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06.03.2025, 9:00 AM CET
Data provider
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Konferenzbeitrag
Associated
- Ruppenhofer, Josef
- Brandes, Jasper
- Paris : European Language Resources Association (ELRA)
Time of origin
- 2016-11-08
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Discourse Level Opinion Interpretation
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
Extending effect annotation with lexical decomposition
Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
Enriching FrameNet with Scalar Information
The treatment of emotion vocabulary in FrameNet: past, present and future developments
Fictive Motion: Construction or Construal?
Discourse Level Opinion Relations: An Annotation Study
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
Verifying the robustness of opinion inference