Text Generation

Portada
Cambridge University Press, 1992 M06 26 - 246 páginas
This book is concerned with the machine-based generation of natural language text and presents a formal analysis of problems, which in the main have previously only been approached descriptively. In the process of producing discourse, speakers and writers must decide what it is that they want to say and how to present it effectively. Kathleen McKeown's main concern is to identify and formalise principles of discourse so that they can be used in a computational process. The text generation theory she describes has been embodied in a computer program, TEXT, which, given a question, can produce a paragraph length response. An Appendix to the book provides examples of the TEXT system in operation.
 

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Contenido

Introduction
vii
12 A processing model
1
13 A sketch of related work
2
14 A text generation theory and method
4
15 System overview
7
16 The database application
9
17 Other issues
12
18 Guide to remaining chapters
13
43 Selection of relevant knowledge
109
432 Comparisons
110
484 Relevancy on the basis of conceptual closeness
112
435 Conclusions
117
44 Schema implementation
118
442 Arc actions
119
444 Graphs used
120
446 The compare and contrast schema
126

Discourse structure
15
21 Rhetorical predicates
16
212 Ordering communicative techniques
17
22 Analysis of texts
20
221 Predicate recursiveness
26
222 Summary of text analysis
33
23 Related research using rhetorical predicates
34
241 Associating technique with purpose
36
25 Selecting a schema
38
26 Filling the schema
41
27 An example
43
28 Future work
48
29 Conclusions
49
Focusing in discourse
51
31 Computational theories and uses of focusing
52
312 Immediate focus
53
321 Global focus and generation
55
322 Immediate focus and generation
56
323 Current focus versus potential focus list
58
324 Current focus versus focus stack
61
325 Other choices
63
326 A focus algorithm for generation
65
328 Overriding the default focus
66
829 The focus algorithm
67
3210 Use of focus sets
69
33 Focus and syntactic structures
71
332 Passing focus information to the tactical component
73
34 Future work
75
35 Conclusions
76
TEXT system implementation
79
41 System components
80
42 Knowledge representation
83
422 Portability
86
423 Summary
87
424 The entityrelationship model
88
425 Use of generalization
89
426 The topic hierarchy
93
427 Relations
96
428 Distinguishing descriptive attributes
98
429 DDAs for database entity generalizations
99
4210 Supporting database attributes
100
4211 Based database attributes
102
4212 DDAs for database entity subsets
105
4213 Constant database attributes
107
45 The tactical component
129
452 The grammar formalism
130
453 A functional grammar
134
454 The unifier
136
455 The TEXT system unifier
137
456 Unifying a sample input with a sample grammar
140
457 Grammar implementation
143
458 Morphology and linearization
147
459 Extensions
148
4511 Advantages
149
46 The dictionary
151
462 Structure of dictionary entries
152
463 General entries
153
464 An example
156
465 Creating the dictionary
160
466 Conclusions
163
47 Practical considerations
164
472 Question coverage
165
Discourse history
167
52 Questions about the difference between entities
168
53 Requests for definitions
174
54 Requests for information
176
55 Summary
179
Related generation research
181
61 Tactical components early systems
182
62 Tactical components later works
183
64 Planning and generation
185
65 Knowledge needed for generation
186
66 Text generation
187
Summary and conclusions
191
73 Discourse coherency
192
75 An evaluation of the generated text
193
76 Limitations of the implemented system
195
77 Future directions
196
772 Relevancy
199
774 User model
200
Sample output of the TEXT system
201
Introduction to Working
219
Resources used
221
Predicate semantics
223
Bibliography
233
Index
240
Derechos de autor

Términos y frases comunes

aircraft carrier anaphora answer arguments attrs based-db BNKR capabilities are provided catamaran coherency contrast schema cruiser current focus database have REMARKS database systems DB attributes DB-ATTRS default focus definition described DESTROYER determine dictionary discourse goal discourse structure discussion DISPLACEMENT distinguishing descriptive attribute entity-relationship model entry example focus constraints focus stack focusing FUEL CAPACITY FUEL TYPE function global focus grammar guided projectile Hobie Cat identification schema immediate focus implemented input knowledge base knowledge representation lexical linguistic MAXIMUM OPERATING DEPTH MISSILE natural language noun phrase object grammar ocean escort ONR database potential focus list predicate previous discourse proposition selected PROPULSION questions recursive relevant knowledge pool representation schemata semantic sentence grammar shown in Figure SOME-TYPE-OF specified SPEED stack STMTURGRD strategic component sub-type superordinate surface syntactic category tactical component target location TARGET-LOCATION TEXT system topic hierarchy TORPEDOE translation TRAVEL-MODE UNDERWATER verb water-going vehicles WATER-VEHICLE whisky

Referencias a este libro

Información bibliográfica

TítuloText Generation
Studies in Natural Language Processing
AutorKathleen McKeown
Ediciónilustrada, revisada
EditorCambridge University Press, 1992
ISBN0521438020, 9780521438025
Largo246 páginas
  
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