The Springer International Series in Engineering and Computer Science

Natural Language Generation in Artificial Intelligence and Computational Linguistics

Editors: Paris, Cecile, Swartout, William R., Mann, William C. (Eds.)

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About this book

One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili­ tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer­ of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the propositional knowledge at hand, from the linguistic tools available, from the communicative goals and intentions to be achieved, from the audience the text is aimed at and from the situation and past discourse. Researchers in generation try to identify the factors involved in this process and determine how best to represent the factors and their dependencies.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • A Reactive Approach to Explanation: Taking the User’s Feedback into Account

    Pages 3-48

    Moore, Johanna D. (et al.)

  • Generation and Explanation: Building an Explanation Facility for the Explainable Expert Systems Framework

    Pages 49-82

    Paris, Cécile L.

  • Approaches to the Planning of Coherent Text

    Pages 83-102

    Hovy, Eduard H.

  • Focus of attention: Constraining what can be said next

    Pages 103-124

    McCoy, Kathleen F. (et al.)

  • Uncovering textual meanings: a case study involving systemic-functional resources for the generation of Japanese texts

    Pages 125-153

    Bateman, John A.

Buy this book

eBook $219.00
price for USA in USD (gross)
  • ISBN 978-1-4757-5945-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.99
price for USA in USD
  • ISBN 978-0-7923-9098-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $299.00
price for USA in USD
  • ISBN 978-1-4419-5125-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Natural Language Generation in Artificial Intelligence and Computational Linguistics
Editors
  • Cecile Paris
  • William R. Swartout
  • William C. Mann
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
119
Copyright
1991
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4757-5945-7
DOI
10.1007/978-1-4757-5945-7
Hardcover ISBN
978-0-7923-9098-5
Softcover ISBN
978-1-4419-5125-0
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XXII, 404
Topics