© 2007

Computing Meaning

  • Harry Bunt
  • Reinhard Muskens
  • This book is the long-awaited follow up to the successful first two books on computing meaning

  • A collection of papers by outstanding researchers in the field of computational semantics


Part of the Studies in Linguistics and Philosophy book series (SLAP, volume 83)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Harry Bunt, Reinhard Muskens
    Pages 1-10
  3. Massimo Poesio, Uwe Reyle, Rosemary Stevenson
    Pages 11-31
  4. Aoife Cahill, Mairead Mccarthy, Michael Burke, Josef Van Genabith, Andy Way
    Pages 33-53
  5. Raquel Fernández, Jonathan Ginzburg, Howard Gregory, Shalom Lappin
    Pages 125-144
  6. Ivana Kruijff-Korbayová, Bonnie L. Webber
    Pages 145-172
    Pages 173-193
  8. Marc Swerts, Emiel Krahmer
    Pages 195-212
  9. Aravind K. Joshi, Laura Kallmeyer, Maribel Romero
    Pages 233-256
  10. Fabrice Nauze, Michiel Van Lambalgen
    Pages 257-300
  11. James Pustejovsky, Robert Knippen, Jessica Littman, Roser Saurí
    Pages 301-346
  12. Claire Gardent, Kristina Striegnitz
    Pages 369-396
  13. Kees Van Deemter, Emiel Krahmer
    Pages 397-422
  14. Richard Crouch, Anette Frank, Josef Van Genabith
    Pages 457-472
  15. Back Matter
    Pages 473-477

About this book


This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.


learning machine learning modeling natural language semantic semantics

Editors and affiliations

  • Harry Bunt
    • 1
  • Reinhard Muskens
    • 1
  1. 1.Tilburg UniversityThe Netherlands

Bibliographic information

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