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

2.5  ·  Rating Details ·  2 Ratings  ·  1 Review
This book presents recent advances (from 2008 to 2012) concerning use of the Naive 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.), ...more
ebook, 79 pages
Published December 31st 2012 by Springer (first published November 7th 2012)
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Kevin K. Gillette
I've been fascinated, for several years now, by the field of computational linguistics. In particular, the subject of natural language processing (NLP) has intrigued me on several levels. In the first place, it's just an amazingly cool and challenging problem in its own right - in the mountain-climber's words, "Because it's there." In the second place, NLP is fertile ground for all kinds of remarkable data discovery and connection-building in areas as diverse as healthcare, marketing, and threat ...more
Andrew
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Aug 24, 2016
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