Marasovic, Ana ; Frank, Anette (2016)
Multilingual Modal Sense Classification using a Convolutional Neural Network.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Modal sense classification (MSC) is a special WSD task that depends on the meaning of the proposition in the modal's scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We benchmark the CNN on a standard WSD task, where it compares favorably to models using sense-disambiguated target vectors.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Marasovic, Ana ; Frank, Anette |
| Art des Eintrags: | Bibliographie |
| Titel: | Multilingual Modal Sense Classification using a Convolutional Neural Network |
| Sprache: | Deutsch |
| Publikationsjahr: | August 2016 |
| Buchtitel: | Proceedings of the 1st Workshop on Representation Learning |
| URL / URN: | http://www.aclweb.org/anthology/W/W16/W16-1613.pdf |
| Kurzbeschreibung (Abstract): | Modal sense classification (MSC) is a special WSD task that depends on the meaning of the proposition in the modal's scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based classifiers and a standard NN classifier. We analyze the feature maps learned by the CNN and identify known and previously unattested linguistic features. We benchmark the CNN on a standard WSD task, where it compares favorably to models using sense-disambiguated target vectors. |
| Freie Schlagworte: | AIPHES_area_a3 |
| ID-Nummer: | TUD-CS-2016-0143 |
| Fachbereich(e)/-gebiet(e): | DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 30 Dez 2016 17:45 |
| Letzte Änderung: | 26 Sep 2018 11:53 |
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| Suche nach Titel in: | TUfind oder in Google |
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