Expressibility and the problem of efficient text planning:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
Pinter
1992
|
| Edition: | 1. publ. |
| Series: | Communication in artificial intelligence series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIII, 188 S. graph. Darst. |
Staff View
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Record in the Search Index
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| adam_text | Expressibility and the Problem
of Efficient Text Planning
Marie W Meteer
Pinter Publishers, London
Distributed exclusively in the United States and Canada by
St Martin s Press, New York
Contents
List of figures viii
Foreword
David McDonald xi
1 The generation gap 1
1 1 Overview 2
1 2 Defining the problem 3
121 Key properties-of the generation process 4
122 The computational problem of generation 5
123 The computational model 6
124 The implementation 9
1 3 Text Structure: an intermediate level of representation for text
planning 13
131A preview of Text Structure 14
132 Using the Text Structure for text planning 17
2 Terminology and issues 21
2 1 The generation process 21
211 The activities of generation 22
212 The modularization of the generation process 23
2 2 Issues 26
221 Content delimitation 26
222 Lexical selection 27
223 What is revision 28
224 What is text structure? 29
225 Composition of linguistic resources 32
3 Motivations from language and applications 35
3 1 Analysis of revisions 36
311 Description of the data 36
312 Goals for the analysis 44
313 Analysis of the data using Text Structure 47
314A theoretical framework 50
315 Conclusion 54
3 2 Motivations from applications 54
vi Contents
321 From application objects to language 54
322 Text Structure 59
3 3 Summary 61
4 The Text Structure 63
4 1 Linguistic resources 63
411 What are the resources of language? 64
412 The concrete resources 65
413 Abstractions over concrete resources 67
4 2 Determining the vocabulary of Text Structure 69
421 Semantic categories 70
422 Constituent structure 76
4 3 The Text Structure representation 78
431 Definition of Text Structure 79
432 Text Structure nodes 79
433 The contents of Text Structure nodes 81
434 The Text Structure tree 84
5 The architecture of Spokesman 87
5 1 Overview of Spokesman 87
5 2 Building the Text Structure 89
521 Expanding and extending Text Structure nodes 89
522 Using realization classes 97
523 Making finer-grained choices 101
5 3 Building the linguistic specification 105
531 The input specification language 106
532 The relationship between Text Structure and
specifications 108
533 Building specifications from Text Structure 110
5 4 Control of the Text Planner 113
541 Top-level control loop 114
542 Mappings 116
6 Text Structure in action 119
6 1 Incremental text generation from the Main Street simulation 119
611 Why is Main Street an interesting domain? 120
612 The selection algorithm 125
613A walk through 127
6 2 Text Structure and portability 138
621 Interfacing to an application program 140
622 Capturing differences between domains 144
7 Alternative architectures 147
7 1 Traditional two-component systems 147
711 McKeown s TEXT 147
712 Derr and McKeown 152
713 Mann 153
714 Penman
7 2 Non-traditional architectures
721 Appelt
722 Nirenburg
723 Gabriel
724 Danlos
7 3 Summary
8 Conclusion
8 1 Methodology
8 2 Summary of the contributions
821 An architecture for generation
822 The Spokesman generation system
8 3 What does this work have to say to AI in general?
831 Choosing the right technique
832 Knowledge representation
8 4 Future excitements
841 Lexical choice
842 Selection of information
843 Revision
Bibliography
Index
Contents vu
|
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| language | English |
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| spelling | Meteer, Marie W. Verfasser aut Expressibility and the problem of efficient text planning Marie W. Meteer 1. publ. London Pinter 1992 XIII, 188 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Communication in artificial intelligence series Intelligence artificielle Linguistique informatique Traitement automatique des langues naturelles Künstliche Intelligenz Artificial intelligence Computational linguistics Natural language processing (Computer science) Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Mensch-Maschine-Kommunikation (DE-588)4125909-9 s HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=004225385&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Meteer, Marie W. Expressibility and the problem of efficient text planning Intelligence artificielle Linguistique informatique Traitement automatique des langues naturelles Künstliche Intelligenz Artificial intelligence Computational linguistics Natural language processing (Computer science) Natürliche Sprache (DE-588)4041354-8 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)4041354-8 (DE-588)4033447-8 (DE-588)4125909-9 |
| title | Expressibility and the problem of efficient text planning |
| title_auth | Expressibility and the problem of efficient text planning |
| title_exact_search | Expressibility and the problem of efficient text planning |
| title_full | Expressibility and the problem of efficient text planning Marie W. Meteer |
| title_fullStr | Expressibility and the problem of efficient text planning Marie W. Meteer |
| title_full_unstemmed | Expressibility and the problem of efficient text planning Marie W. Meteer |
| title_short | Expressibility and the problem of efficient text planning |
| title_sort | expressibility and the problem of efficient text planning |
| topic | Intelligence artificielle Linguistique informatique Traitement automatique des langues naturelles Künstliche Intelligenz Artificial intelligence Computational linguistics Natural language processing (Computer science) Natürliche Sprache (DE-588)4041354-8 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Intelligence artificielle Linguistique informatique Traitement automatique des langues naturelles Künstliche Intelligenz Artificial intelligence Computational linguistics Natural language processing (Computer science) Natürliche Sprache Mensch-Maschine-Kommunikation |
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