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Integration of Natural Language and Vision Processing

Theory and Grounding Representations Volume III

  • Paul Mc Kevitt

Table of contents

  1. Front Matter
    Pages i-8
  2. A. G. Cohn, J. M. Gooday, B. Bennett, N. M. Gotts
    Pages 13-17
  3. Yorick Wilks
    Pages 31-47
  4. Jordi Robert-Ribes, Jean-Luc Schwartz, Pierre Escudier
    Pages 81-104
  5. Cristina Meini, Alfredo Paternoster
    Pages 139-150
  6. Paul Mc Kevitt, Chengming Guo
    Pages 151-165
  7. Stuart A. Jackson, Noel E. Sharkey
    Pages 167-184
  8. N. J. Sales, R. G. Evans, I. Aleksander
    Pages 185-204
  9. Jerome Feldman, George Lakoff, David Bailey, Srini Narayanan, Terry Regier, Andreas Stolcke
    Pages 205-231
  10. Alain Grumbach
    Pages 233-248
  11. Mark Lee, Paul Mc Kevitt, John Neary
    Pages 249-255

About this book

Introduction

Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP), there has heretofore been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing theoretical issues and the grounding of representations in NLP and VP from philosophical and psychological points of view. The papers focus on site descriptions such as the reasoning work on space at Leeds, UK, the systems work of the ILS (Illinois, U.S.A.) and philosophical work on grounding at Torino, Italy, on Schank's earlier work on pragmatics and meaning incorporated into hypermedia teaching systems, Wilks' visions on metaphor, on experimental data for how people fuse language and vision and theories and computational models, mainly connectionist, for tackling Searle's Chinese Room Problem and Harnad's Symbol Grounding Problem. The Irish Room is introduced as a mechanism through which integration solves the Chinese Room. The U.S.A., China and the EU are well reflected, showing the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the SuperInformationHighways of the future.

Keywords

Symbol artificial intelligence information intelligence learning natural language robot speech processing

Editors and affiliations

  • Paul Mc Kevitt
    • 1
    • 2
  1. 1.Department of Computer ScienceUniversity of SheffieldEngland, EU
  2. 2.Dún Na nGall (Donegal)Ireland, EU

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-1639-5
  • Copyright Information Springer Science+Business Media B.V. 1996
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-3944-1
  • Online ISBN 978-94-009-1639-5
  • Buy this book on publisher's site
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