Decorrelation and shallow semantic patterns for distributional clustering of nouns and verbs
- Distributional approximations to lexical semantics are very useful not only in helping the creation of lexical semantic resources (Kilgariff et al., 2004; Snow et al., 2006), but also when directly applied in tasks that can benefit from large-coverage semantic knowledge such as coreference resolution (Poesio et al., 1998; Gasperin and Vieira, 2004; Versley, 2007), word sense disambiguation (Mc- Carthy et al., 2004) or semantical role labeling (Gordon and Swanson, 2007). We present a model that is built from Webbased corpora using both shallow patterns for grammatical and semantic relations and a window-based approach, using singular value decomposition to decorrelate the feature space which is otherwise too heavily influenced by the skewed topic distribution of Web corpora.
Author: | Yannick Versley |
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URN: | urn:nbn:de:hebis:30-1128354 |
URL: | http://www.lingexp.uni-tuebingen.de/sfb441/a1/Publikationen/distsem08.pdf |
Editor: | Marco Baroni, Stefan Evert, Alessandro Lenci |
Document Type: | Preprint |
Language: | English |
Year of Completion: | 2009 |
Year of first Publication: | 2009 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2009/05/05 |
Page Number: | 8 |
Note: | Erschienen in: Marco Baroni ; Stefan Evert ; Alessandro Lenci (Hrsg.): Proceedings of the ESSLLI Workshop on Distributional Lexical Semantics Bridging the gap between semantic theory and computational simulations, ESSLLI 2008, Hamburg, Germany, 4–9 August 2008, S. 55-62 |
HeBIS-PPN: | 216486831 |
Institutes: | keine Angabe Fachbereich / Extern |
Dewey Decimal Classification: | 4 Sprache / 40 Sprache / 400 Sprache |
Sammlungen: | Linguistik |
Licence (German): | Deutsches Urheberrecht |