German Perception Verbs: Automatic Classification of Prototypical and Multiple Non-literal Meanings
- This paper presents a token-based automatic classification of German perception verbs into literal vs. multiple non-literal senses. Based on a corpus-based dataset of German perception verbs and their systematic meaning shifts, we identify one verb of each of the four perception classes optical, acoustic, olfactory, haptic, and use Decision Trees relying on syntactic and semantic corpus-based features to classify the verb uses into 3-4 senses each. Our classifier reaches accuracies between 45.5% and 69.4%, in comparison to baselines between 27.5% and 39.0%. In three out of four cases analyzed our classifier’s accuracy is significantly higher than the according baseline.
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Main Conference Proceedings of the 12th Konvens 2014
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| Author: | Benjamin David, Sylvia Springorum, Sabine Schulte im Walde |
|---|---|
| URN: | https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2830 |
| Parent Title (English): | Proceedings of the 12th edition of the KONVENS conference |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2014/10/23 |
| Release Date: | 2014/10/23 |
| Tag: | Sentiment Analyse Opinion Mining; Sentiment Analysis |
| GND Keyword: | Computerlinguistik |
| First Page: | 207 |
| Last Page: | 214 |
| PPN: | Link zum Katalog |
| Contributor: | Faaß, Gertrud |
| Institutes: | Fachbereich III / Informationswissenschaft und Sprachtechnologie |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Collections: | KONVENS 2014 / Proceedings of the 12th KONVENS 2014 |
| Licence (German): |  Creative Commons - Namensnennung 3.0 |
