The naïve Bayes model for unsupervised word sense disambiguation : Aspects Concerning Feature Selection
This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD).While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine t...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | SpringerBriefs in Statistics
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The Naïve Bayes Model for Unsupervised Word Sense Disambiguation, Texte imprimé, 9783642336928 • The Naïve Bayes Model for Unsupervised Word Sense Disambiguation, Texte imprimé, 9783642336942 |
Table des matières:
- 1.Preliminaries 2.The Naïve Bayes Model in the Context of Word Sense Disambiguation 3.Semantic WordNet-based Feature Selection 4.Syntactic Dependency-based Feature Selection 5.N-Gram Features for Unsupervised WSD with an Underlying Naïve Bayes Model References Index.