This is the first book to cover the entire topic of word sense disambiguation (WSD) including: all the major algorithms, techniques, performance measures, results, philosophical issues, and applications. Leading researchers in the field have contributed chapters that synthesize and provide an overview of past and state-of-the-art research across the field. The editors have carefully organized the chapters into sub-topics. Researchers and lecturers will learn about the full range of what has been done and where the field is headed. Developers will learn which technique(s) will apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website provides links to resources for WSD and a searchable index of the book.
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.
From the reviews:
"This collection serves as a thorough record of where we are now and provides some nice pointers for where we need to go. It is a great resource containing valuable reference material, helpful summaries of findings, further-reading sections, and a useful appendix on resources... Even though the book is tailored for those new to the field, veteran WSD researchers will find the collection makes good reading with plenty of material and discussions that do not appear elsewhere." (Diana McCarthy, COMPUTATIONAL LINGUISTICS, volume 33, number 2)
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