國立虎尾科技大學 |

Building natural language generation systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Building natural language generation systems // Ehud Reiter, Robert Dale.
Author:	Reiter, Ehud,
other author:	Dale, Robert,
Description:	1 online resource (xxi, 248 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Natural language processing (Computer science) -
Online resource:	https://doi.org/10.1017/CBO9780511519857
ISBN:	9780511519857 (ebook)

Building natural language generation systems /
Reiter, Ehud,1960-

Building natural language generation systems /Ehud Reiter, Robert Dale. - 1 online resource (xxi, 248 pages) :digital, PDF file(s). - Studies in natural language processing. - Studies in natural language processing..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

1. Introduction -- 1.1. The Research Perspective -- 1.2. The Applications Perspective -- 1.3. Some Example NLG Systems -- 1.4. A Short History of NLG -- 1.5. The Structure of This Book -- 2. National Language Generation in Practice -- 2.2. When Are NLG Techniques Appropriate? -- 2.3. Using a Corpus to Determine User Requirements -- 2.4. Evaluating NLG Systems -- 2.5. Fielding NLG Systems -- 3. The Architecture of a Natural Language Generation System -- 3.2. The Inputs and Outputs of Natural Language Generation -- 3.3. An Informal Characterisation of the Architecture -- 3.4. The Architecture and Its Representations -- 3.5. Other Architectures -- 4. Document Planning -- 4.2. Representing Information in the Domain -- 4.3. Content Determination -- 4.4. Document Structuring -- 4.5. Document Planner Architecture -- 5. Microplanning -- 5.2. Lexicalisation -- 5.3. Aggregation -- 5.4. Generating Referring Expressions -- 5.5. Limitations and Other Approaches -- 6. Surface Realisation -- 6.2. Realising Text Specifications -- 6.3. Varieties of Phrase Specifications -- 6.4. KPML -- 6.5. SURGE -- 6.6. RealPro -- 6.7. Choosing a Realiser -- 6.8. Bidirectional Grammars -- 7. Beyond Text Generation -- 7.2. Typography -- 7.3. Integrating Text and Graphics -- 7.4. Hypertex -- 7.5. Speech Output -- App. NLG Systems Mentioned in This Book.

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.

ISBN: 9780511519857 (ebook)Subjects--Topical Terms:

641811
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / R45 2000

Dewey Class. No.: 006.3/5

Building natural language generation systems /
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245 1 0 $a Building natural language generation systems / $c Ehud Reiter, Robert Dale.
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 2 $a 1. Introduction -- 1.1. The Research Perspective -- 1.2. The Applications Perspective -- 1.3. Some Example NLG Systems -- 1.4. A Short History of NLG -- 1.5. The Structure of This Book -- 2. National Language Generation in Practice -- 2.2. When Are NLG Techniques Appropriate? -- 2.3. Using a Corpus to Determine User Requirements -- 2.4. Evaluating NLG Systems -- 2.5. Fielding NLG Systems -- 3. The Architecture of a Natural Language Generation System -- 3.2. The Inputs and Outputs of Natural Language Generation -- 3.3. An Informal Characterisation of the Architecture -- 3.4. The Architecture and Its Representations -- 3.5. Other Architectures -- 4. Document Planning -- 4.2. Representing Information in the Domain -- 4.3. Content Determination -- 4.4. Document Structuring -- 4.5. Document Planner Architecture -- 5. Microplanning -- 5.2. Lexicalisation -- 5.3. Aggregation -- 5.4. Generating Referring Expressions -- 5.5. Limitations and Other Approaches -- 6. Surface Realisation -- 6.2. Realising Text Specifications -- 6.3. Varieties of Phrase Specifications -- 6.4. KPML -- 6.5. SURGE -- 6.6. RealPro -- 6.7. Choosing a Realiser -- 6.8. Bidirectional Grammars -- 7. Beyond Text Generation -- 7.2. Typography -- 7.3. Integrating Text and Graphics -- 7.4. Hypertex -- 7.5. Speech Output -- App. NLG Systems Mentioned in This Book.
520 $a 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.
650 0 $a Natural language processing (Computer science) $3 641811
700 1 $a Dale, Robert, $d 1959- $e author. $3 1438667
776 0 8 $i Print version: $z 9780521620369
830 0 $a Studies in natural language processing. $3 715855
856 4 0 $u https://doi.org/10.1017/CBO9780511519857