Contributors.- Foreword.- Preface.- Introduction.- Word Senses.- Making sense about sense.- Evaluation of WSD systems.- Knowledge-based methods for WSD.- Unsupervised corpus-based methods for WSD.- Supervised corpus-based methods for WSD.- Knowledge sources for WSD.- Automatic acquisition of lexical information and examples.- Domain-specific WSD.- WSD in NLP applications.- Resources for WSD.- Index of Terms.- Index of authors and algorithms.
Word Senses.- Making Sense About Sense.- Evaluation of WSD Systems.- Knowledge-Based Methods for WSD.- Unsupervised Corpus-Based Methods for WSD.- Supervised Corpus-Based Methods for WSD.- Knowledge Sources for WSD.- Automatic Acquisition of Lexical Information and Examples.- Domain-Specific WSD.- WSD in NLP Applications.
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.
The first book to cover all aspects of word sense disambiguation
Contains contributions by leading researchers in the field