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.

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Author:Yannick Versley
Editor:Marco Baroni, Stefan Evert, Alessandro Lenci
Document Type:Preprint
Year of Completion:2009
Year of first Publication:2009
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2009/05/05
Page Number:8
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
Institutes:keine Angabe Fachbereich / Extern
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
Licence (German):License LogoDeutsches Urheberrecht