The Nav̐e Bayes Model for Unsupervised Word Sense Disambiguation Aspects Concerning Feature Selection /

• Main Author: T. Hristea, Florentina. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics.; Computer science.; Artificial intelligence.; Statistics, general.; Computer Science, general.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-33693-5

This book presents recent advances (from 2008 to 2012) concerning use of the Nav̐e 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...

Table of Contents:

• 1.Preliminaries
• 2.The Nav̐e 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 Nav̐e Bayes Model References
• Index. .