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Natural Language Generation in Artificial Intelligence and Computational Linguistics

  • Book
  • © 1991

Overview

Editors:
  1. Cécile L. Paris

    1. USC/Information Sciences Institute, University of Southern California, Marina del Rey, USA

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  2. William R. Swartout

    1. USC/Information Sciences Institute, University of Southern California, Marina del Rey, USA

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  3. William C. Mann

    1. USC/Information Sciences Institute, University of Southern California, Marina del Rey, USA

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 119)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Text Planning

    1. Front Matter

      Pages 1-1
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    2. A Reactive Approach to Explanation: Taking the User’s Feedback into Account

      • Johanna D. Moore, William R. Swartout
      Pages 3-48

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

      • Cécile L. Paris
      Pages 49-82

    4. Approaches to the Planning of Coherent Text

      • Eduard H. Hovy
      Pages 83-102

    5. Focus of attention: Constraining what can be said next

      • Kathleen F. McCoy, Jeannette Cheng
      Pages 103-124

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

      • John A. Bateman
      Pages 125-153

    7. The Implications of Revisions for Natural Language Generation

      • Marie W. Meteer
      Pages 155-177

    8. POPEL — A Parallel and Incremental Natural Language Generation System

      • Norbert Reithinger
      Pages 179-199

    9. Tailoring output to the user: What does user modelling in generation mean?

      • Karen Sparck Jones
      Pages 201-225

  3. Lexical Choice

    1. Front Matter

      Pages 227-227
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    2. On the Place of Words In the Generation Process

      • David D. McDonald
      Pages 229-247

    3. Lexico(Grammatical) choice in text generation

      • Christian Matthiessen
      Pages 249-292

    4. Lexical Selection and Paraphrase in a Meaning-Text Generation Model

      • Lidija Iordanskaja, Richard Kittredge, Alain Polguère
      Pages 293-312

  4. Grammatical Resources

    1. Front Matter

      Pages 313-313
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    2. Referent Grammar In Text Generation

      • Bengt Sigurd
      Pages 315-327

    3. Segment Grammar: a Formalism for Incremental Sentence Generation

      • Koenraad De Smedt, Gerard Kempen
      Pages 329-349

    4. A Contrastive Evaluation of Functional Unification Grammar for Surface Language Generation: A Case Study in Choice of Connectives

      • Kathleen R. McKeown, Michael Elhadad
      Pages 351-396

  5. Back Matter

    Pages 397-403
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Keywords

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.

Editors and Affiliations

  • USC/Information Sciences Institute, University of Southern California, Marina del Rey, USA

    Cécile L. Paris, William R. Swartout, William C. Mann

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