Konferenzbeitrag
Discourse Level Opinion Relations: An Annotation Study
This work proposes opinion frames as a representation of discourse-level associations that arise from related opinion targets and which are common in task-oriented meeting dialogs. We define the opinion frames and explain their interpretation. Additionally we present an annotation scheme that realizes the opinion frames and via human annotation studies, we show that these can be reliably identified.
- Language
-
Englisch
- Subject
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Automatische Textanalyse
Propositionale Einstellung
Annotation
Linguistik
- Event
-
Geistige Schöpfung
- (who)
-
Somasundaran, Swapna
Ruppenhofer, Josef
Wiebe, Janyce
- Event
-
Veröffentlichung
- (who)
-
Pittsburgh : University of Pittsburgh
- (when)
-
2016-08-18
- URN
-
urn:nbn:de:bsz:mh39-51726
- Last update
-
06.03.2025, 9:00 AM CET
Data provider
This object is provided by:
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the 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
- Somasundaran, Swapna
- Ruppenhofer, Josef
- Wiebe, Janyce
- Pittsburgh : University of Pittsburgh
Time of origin
- 2016-08-18
Other Objects (12)
Discourse Level Opinion Relations: An Annotation Study
Discourse Level Opinion Interpretation
Discourse Level Opinion Interpretation
Extending effect annotation with lexical decomposition
Extending effect annotation with lexical decomposition
Effect Functors for Opinion Inference
Detecting annotation noise in automatically labelled data
Verifying the robustness of opinion inference
Catching the common cause: extraction and annotation of causal relations and their participants
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
Discourse Level Opinion Relations: An Annotation Study
Discourse Level Opinion Interpretation
Discourse Level Opinion Interpretation
Extending effect annotation with lexical decomposition
Extending effect annotation with lexical decomposition
Effect Functors for Opinion Inference
Detecting annotation noise in automatically labelled data
Verifying the robustness of opinion inference
Catching the common cause: extraction and annotation of causal relations and their participants
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
Discourse Level Opinion Relations: An Annotation Study
Discourse Level Opinion Interpretation
Discourse Level Opinion Interpretation
Extending effect annotation with lexical decomposition
Extending effect annotation with lexical decomposition
Effect Functors for Opinion Inference
Detecting annotation noise in automatically labelled data
Verifying the robustness of opinion inference
Catching the common cause: extraction and annotation of causal relations and their participants
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Opinion Holder and Target Extraction based on the Induction of Verbal Categories