Abstract
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.
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Notes
- 1.
Available from https://pub.cl.uzh.ch/projects/opinion/lrec_data.txt.
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Klenner, M., Clematide, S., Tuggener, D. (2018). Verb-Mediated Composition of Attitude Relations Comprising Reader and Writer Perspective. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2017. Lecture Notes in Computer Science(), vol 10762. Springer, Cham. https://doi.org/10.1007/978-3-319-77116-8_11
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