Building Natural Language Generation Systems

Overview

This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to ...
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Overview

This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts.

The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.

It is essential reading for researchers interested in NLP, Al, and HCI, and for developers interested in advanced document-creation technology.

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Editorial Reviews

From the Publisher
"Consistent and well-developed...a valuable guide..." General Linguistics

"[A]n indispensable guide...extremely well-organized and well-written." User Modeling and User-Adapted Interaction

"Each topic is clearly presented...the information is very well organized...It is detailed, without being too dense or overloaded with technical jargon...This book should be read by anyone interested in natural language processing who wants to get a better idea of the specifics of NLG." Computing Reviews

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Product Details

  • ISBN-13: 9780521024518
  • Publisher: Cambridge University Press
  • Publication date: 1/28/2006
  • Series: Studies in Natural Language Processing Series
  • Edition description: First Edition
  • Pages: 272
  • Sales rank: 1,317,016
  • Product dimensions: 5.98 (w) x 9.02 (h) x 0.63 (d)

Table of Contents

Figures
Preface
1 Introduction 1
1.1 The Research Perspective 2
1.2 The Applications Perspective 4
1.3 Some Example NLG Systems 7
1.4 A Short History of NLG 19
1.5 The Structure of This Book 20
2 National Language Generation in Practice 23
2.2 When Are NLG Techniques Appropriate? 24
2.3 Using a Corpus to Determine User Requirements 30
2.4 Evaluating NLG Systems 37
2.5 Fielding NLG Systems 38
3 The Architecture of a Natural Language Generation System 41
3.2 The Inputs and Outputs of Natural Language Generation 42
3.3 An Informal Characterisation of the Architecture 47
3.4 The Architecture and Its Representations 59
3.5 Other Architectures 72
4 Document Planning 79
4.2 Representing Information in the Domain 83
4.3 Content Determination 95
4.4 Document Structuring 101
4.5 Document Planner Architecture 110
5 Microplanning 114
5.2 Lexicalisation 124
5.3 Aggregation 132
5.4 Generating Referring Expressions 144
5.5 Limitations and Other Approaches 156
6 Surface Realisation 159
6.2 Realising Text Specifications 162
6.3 Varieties of Phrase Specifications 164
6.4 KPML 171
6.5 SURGE 179
6.6 RealPro 186
6.7 Choosing a Realiser 192
6.8 Bidirectional Grammars 194
7 Beyond Text Generation 198
7.2 Typography 201
7.3 Integrating Text and Graphics 208
7.4 Hypertex 216
7.5 Speech Output 221
App NLG Systems Mentioned in This Book 229
References 231
Index 243
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