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...
שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2013. |
| סדרה: | SpringerBriefs in Statistics
|
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
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 |
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| 082 | |a 519.5 | ||
| 100 | 1 | |a Hristea, Florentina T., |d 19..- | |
| 245 | 1 | 0 | |a The naïve Bayes model for unsupervised word sense disambiguation : |b Aspects Concerning Feature Selection |c by Florentina T. Hristea. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a SpringerBriefs in Statistics |x 2191-5458 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naïve Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD has led to more modest disambiguation results and has been less frequent. It seems that the potential of this statistical model with respect to unsupervised WSD continues to remain insufficiently explored. The present book contends that the Naïve Bayes model needs to be fed knowledge in order to perform well as a clustering technique for unsupervised WSD and examines three entirely different sources of such knowledge for feature selection: WordNet, dependency relations and web N-grams. WSD with an underlying Naïve Bayes model is ultimately positioned on the border between unsupervised and knowledge-based techniques. The benefits of feeding knowledge (of various natures) to a knowledge-lean algorithm for unsupervised WSD that uses the Naïve Bayes model as clustering technique are clearly highlighted. The discussion shows that the Naïve Bayes model still holds promise for the open problem of unsupervised WSD | ||
| 776 | 0 | |t The Naïve Bayes Model for Unsupervised Word Sense Disambiguation |b Texte imprimé |z 9783642336928 | |
| 776 | 0 | |t The Naïve Bayes Model for Unsupervised Word Sense Disambiguation |b Texte imprimé |z 9783642336942 | |
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| 856 | 4 | |5 180339901:751500747 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-33693-5 |z Accès INSA CVL | |
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