Eneko Agirre

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.

CONTENTS

Preface
Foreword - Graeme Hirst

1. Introduction
- Eneko Agirre and Philip Edmonds

2. Word Senses
- Adam Kilgarriff

3. Making Sense About Sense
- Nancy Ide, Yorick Wilks

4. Evaluation of WSD Systems
- Martha Palmer, Hwee Tou Ng, Hoa Trang Dang

5. Knowledge-Based Methods for WSD
- Rada Mihalcea

6. Unsupervised Corpus-Based Methods for WSD
- Ted Pedersen

7. Supervised Corpus-Based Methods for WSD
- Lluís Màrquez, Gerard Escudero, David Martínez, German Rigau

8. Knowledge Sources for WSD
- Eneko Agirre, Mark Stevenson

9. Automatic Acquisition of Lexical Information and Examples
- Julio Gonzalo, Felisa Verdejo

10. Domain-Specific WSD
- Paul Buitelaar, Bernardo Magnini, Carlo Strapparava, Piek Vossen

11. WSD in NLP Applications
- Philip Resnik

Appendix: Resources for WSD
Index of Terms
Index of Authors and Algorithms… (més)