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Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification
Abstract
We discuss target-specific polarity classification for German news texts. Novel, verb-specific features are used in a Simple Logistic Regression model. The polar perspective a verb casts on its grammatical roles is exploited. Also, an additional, largely neglected polarity class is examined: controversial texts. We found that the straightforward definition of ’controversial’ is problematic. More or less balanced polarities in a text are a poor indicator of controversy. Instead, non-polar wording helps more than polarity aggregation. However, our novel features proved useful for the remaining polarity classes.
Publikationstyp
ConferencePaper
Autor*in • •
Klenner, Manfred
Amsler, Michael
Hollenstein, Nora
Erscheinungsdatum
2014
Fachbereich
Institut / Einrichtung
Erschienen in
Proceedings of the 12th edition of the KONVENS conference
Erste Seite
106
Letzte Seite
115
URN
urn:nbn:de:gbv:hil2-opus-2712
HilPub Permalink
Dateien p038.pdf (108.47 KB)
Main Conference Proceedings of the 12th Konvens 2014