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

• Κύριος συγγραφέας: T. Hristea, Florentina (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: Statistics.; Computer science.; Artificial intelligence.; Statistics, general.; Computer Science, general.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.  .