The Naïve Bayes Model for Unsupervised Word Sense Disambiguation : Aspects Concerning Feature Selection

Language: English

Published by Springer Berlin Heidelberg, 2012

3642336922 / 9783642336928

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783642336928

Title
The Naïve Bayes Model for Unsupervised Word Sense Disambiguation : Aspects Concerning Feature Selection
Author
Florentina T. Hristea
Publisher
Springer Berlin Heidelberg
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642336922
ISBN 13
9783642336928
Item weight
143 grams
Dimensions
235x155x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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