Verb-Mediated Composition of Attitude Relations Comprising Reader and Writer Perspective
| Autor: | Manfred Klenner, Don Tuggener, Simon Clematide |
|---|---|
| Přispěvatelé: | University of Zurich, Klenner, Manfred |
| Rok vydání: | 2018 |
| Předmět: |
Relation (database)
Computer science Sentiment analysis Perspective (graphical) 410 Linguistics Verb 02 engineering and technology 000 Computer science knowledge & systems Linguistics Focus (linguistics) 10105 Institute of Computational Linguistics 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 1700 General Computer Science Tuple 2614 Theoretical Computer Science Composition (language) |
| Zdroj: | Computational Linguistics and Intelligent Text Processing ISBN: 9783319771151 CICLing (2) University of Zurich |
| DOI: | 10.1007/978-3-319-77116-8_11 |
| Popis: | We introduce a model for attitude prediction that takes the reader and the writer perspectives into account and enables a joint reception of the attitudinal dispositions involved. For instance, a proponent of the reader might turn out to be a villain, or some moral values of his might be negatively affected. A formal model is specified that induces in a compositional, bottom-up manner informative relation tuples which indicate perspectives on attitudes. This enables the reader to focus on interesting cases, since they are directly accessible from the parts of the relation tuple. |
| Databáze: | OpenAIRE |
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