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Word Sense Disambiguation

Algorithms and Applications

  • Book
  • © 2007

Overview

Editors:
  1. Eneko Agirre

    1. Department of Computer Science, University of the Basque Country, Donostia, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Philip Edmonds

    1. Sharp Laboratories of Europe Limited, Oxford Science Park, UK

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    You can also search for this editor in PubMed   Google Scholar

  • The first book to cover all aspects of word sense disambiguation
  • Contains contributions by leading researchers in the field

Part of the book series: Text, Speech and Language Technology (TLTB, volume 33)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Introduction

    • Eneko Agirre, Philip Edmonds
    Pages 1-28

  3. Word Senses

    • Adam Kilgarriff
    Pages 29-46

  4. Making Sense About Sense

    • Nancy Ide, Yorick Wilks
    Pages 47-73

  5. Evaluation of WSD Systems

    • Martha Palmer, Hwee Tou Ng, Hoa Trang Dang
    Pages 75-106

  6. Knowledge-Based Methods for WSD

    • Rada Mihalcea
    Pages 107-131

  7. Unsupervised Corpus-Based Methods for WSD

    • Ted Pedersen
    Pages 133-166

  8. Supervised Corpus-Based Methods for WSD

    • Lluís Màrquez, Gerard Escudero, David Martínez, German Rigau
    Pages 167-216

  9. Knowledge Sources for WSD

    • Eneko Agirre, Mark Stevenson
    Pages 217-251

  10. Automatic Acquisition of Lexical Information and Examples

    • Julio Gonzalo, Felisa Verdejo
    Pages 253-274

  11. Domain-Specific WSD

    • Paul Buitelaar, Bernardo Magnini, Carlo Strapparava, Piek Vossen
    Pages 275-298

  12. WSD in NLP Applications

    • Philip Resnik
    Pages 299-337

  13. Back Matter

    Pages 339-366
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Keywords

About this book

Graeme Hirst University of Toronto Of the many kinds of ambiguity in language, the two that have received the most attention in computational linguistics are those of word senses and those of syntactic structure, and the reasons for this are clear: these ambiguities are overt, their resolution is seemingly essential for any prac- cal application, and they seem to require a wide variety of methods and knowledge-sources with no pattern apparent in what any particular - stance requires. Right at the birth of artificial intelligence, in his 1950 paper “Computing machinery and intelligence”, Alan Turing saw the ability to understand language as an essential test of intelligence, and an essential test of l- guage understanding was an ability to disambiguate; his example involved deciding between the generic and specific readings of the phrase a winter’s day. The first generations of AI researchers found it easy to construct - amples of ambiguities whose resolution seemed to require vast knowledge and deep understanding of the world and complex inference on this kno- edge; for example, Pharmacists dispense with accuracy. The disambig- tion problem was, in a way, nothing less than the artificial intelligence problem itself. No use was seen for a disambiguation method that was less than 100% perfect; either it worked or it didn’t. Lexical resources, such as they were, were considered secondary to non-linguistic common-sense knowledge of the world.

Reviews

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)

Editors and Affiliations

  • Department of Computer Science, University of the Basque Country, Donostia, Spain

    Eneko Agirre

  • Sharp Laboratories of Europe Limited, Oxford Science Park, UK

    Philip Edmonds

Bibliographic Information

  • Book Title: Word Sense Disambiguation

  • Book Subtitle: Algorithms and Applications

  • Editors: Eneko Agirre, Philip Edmonds

  • Series Title: Text, Speech and Language Technology

  • DOI: https://doi.org/10.1007/978-1-4020-4809-8

  • Publisher: Springer Dordrecht

  • eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)

  • Copyright Information: Springer Science+Business Media B.V. 2007

  • Hardcover ISBN: 978-1-4020-4808-1Published: 09 June 2006

  • Softcover ISBN: 978-1-4020-6870-6Published: 05 November 2007

  • eBook ISBN: 978-1-4020-4809-8Published: 16 November 2007

  • Series ISSN: 1386-291X

  • Series E-ISSN: 2542-9388

  • Edition Number: 1

  • Number of Pages: XXII, 366

  • Topics: Linguistics, general

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