Naive semantics for natural language understanding:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | German |
Veröffentlicht: |
Boston u.a.
Kluwer
1988
|
Schriftenreihe: | The Kluwer international series in engineering and computer science
58 : Natural language processing and machine translation |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Literaturverz. S. [231] - 249 |
Beschreibung: | X, 258 S. |
ISBN: | 0898382874 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | CONTENTS
Part I. Naive Semantics 1
1. Naive Semantics 3
1.1. Using Naive Semantics to Interpret The Programmer 7
1.2. Compositional Semantics 10
1.3. The Classical Theory of Word Meaning 12
1.4. Word Meanings as Concepts 18
1.5. Other Decompositional Approaches 18
1.6. Computational Approaches to Word Meaning 23
1.7. Naive Semantics 28
1.8. Basis of Naive Semantics in Cognitive Psychology .... 29
1.9. Comparison of NS with Computational Models 36
1.10. Limitations of NS 39
1.11. Organization of the Book 43
2. Noun Representation 45
2.1. The Ontological Schema 45
2.2. Mathematical Properties of the Ontology 46
2.3. Ontological Categories 49
2.4. Nominal Terminal Nodes 52
2.5. Construction of the Ontology 55
2.6. Other Ontologies 56
2.7. Generic Knowledge 58
2.8. Word Senses 60
2.9. Feature Types 61
2.10. Conclusion 62
3. Kinds, Kind Terms and Cognitive Categories 65
3.1. The Realist Basis of NS and Kind Terms 65
3.2. Kind Types 69
3.3. Kind Types as Metasorts 75
3.4. Another Approach 76
3.5. Summary 77
vi
4. Verb Representation 79
4.1. Ontological Representation 79
4.2. Placing Verbs in the Main Ontology 80
4.3. Sub-Classification of the TEMPORAL/
RELATIONAL Node 82
4.4. The Vendler Verb Classification 83
4.5. Psycholinguistic Categories 90
4.6. Cross-Classification 93
4.7. Parallel Ontologies 94
4.8. Non-Categorial Features 95
4.9. Generic Representation 95
4.10. Feature Types Associated with Relational Terms .... 98
4.11. Conclusion 101
5. The Functioning of the Kind Types System 105
5.1. Complete and Incomplete Knowledge 107
5.2. Queries to the System 109
Inspecting the Textual Database 109
Inspecting the Ontology 110
Inspecting the Generic Database Ill
Inspecting Feature Types 113
5.3. Anaphors 117
5.4. PP Attachment 118
5.5. Word Sense Disambiguation 118
5.6. Discourse Reasoning 119
5.7. Kind Types Reasoning 120
5.8. Summary of Inference Mechanism 121
6. Prepositional Phrase Disambiguation 123
6.1. Semantically Implausible Syntactic Ambiguities 123
6.2. Using Commonsense Knowledge to Disambiguate .... 125
6.3. Commonsense Knowledge used in the Preference Strat¬
egy 128
Ontological Class of Object of the Preposition 128
Ontological Class of The Direct Object 129
Ontological Class of Verb 129
Generic Information 130
Syntax 131
vii
6.4. Success Rate of the Preference Strategy 132
6.5. Implementation 133
6.6. Other Approaches 135
6.7. Conclusion 138
7. Word Sense Disambiguation 141
7.1. Approaches to Word Sense Disambiguation 141
7.2. Local Combined Ambiguity Reduction 142
7.3. Test of Hypothesis 144
7.4. Noun Disambiguation 144
Fixed and Frequent Phrases 145
Syntactic Tests 146
Commonsense Knowledge 147
7.5. Verb Sense Disambiguation 151
Frequent Phrases in Verb Disambiguation 153
Syntactic Tests in Verb Disambiguation 153
Commonsense in Verb Disambiguation 154
7.6. Interaction of Ambiguous Verb and Noun 155
7.7. Feasibility of the Method 156
7.8. Syntactic and Lexical Ambiguity 157
7.9. Intersentential Reasoning 157
7.10. Disambiguation Rules 158
7.11. Efficiency and Timing 164
7.12. Problems for the Method 166
7.13. Other Approaches 167
7.14. Conclusion 169
8. Discourse Coherence 171
8.1. Background 171
Coherence Relations 172
Discourse Segments 174
Genre-Relativity of Discourse Structure 175
The Commentary Genre 177
Compendium of Discourse Relations 178
8.2. Modularity and Discourse 184
Modelling the Recipient 184
Discourse Events 185
Coherence as Compositional Semantics? 188
viii
Coherence as Naive Inference 191
Discourse Cues 192
Parallelism 193
Facts Explained by the Parallel, Modular Model 194
8.3. Syntactic and Semantic Tests for Discourse Relations . 199
Main Clause 200
Not Nominalized 200
Active voice 203
Tense and Aspect 203
Transitivity Test 203
Weak Predictions of Coherence Relations 205
8.4. Parallelism in Coherence Exemplified 218
Using Commonsense Knowledge to Segment Discourse. 222
Empirical Study of Discourse Hierarchy 226
8.5. Other Models 226
8.6. Conclusion 230
REFERENCES 233
|
any_adam_object | 1 |
author | Dahlgren, Kathleen |
author_facet | Dahlgren, Kathleen |
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author_sort | Dahlgren, Kathleen |
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id | DE-604.BV001855340 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T15:36:39Z |
institution | BVB |
isbn | 0898382874 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-001228501 |
oclc_num | 246512303 |
open_access_boolean | |
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physical | X, 258 S. |
publishDate | 1988 |
publishDateSearch | 1988 |
publishDateSort | 1988 |
publisher | Kluwer |
record_format | marc |
series | The Kluwer international series in engineering and computer science |
series2 | The Kluwer international series in engineering and computer science |
spelling | Dahlgren, Kathleen Verfasser aut Naive semantics for natural language understanding by Kathleen Dahlgren Boston u.a. Kluwer 1988 X, 258 S. txt rdacontent n rdamedia nc rdacarrier The Kluwer international series in engineering and computer science 58 : Natural language processing and machine translation Literaturverz. S. [231] - 249 Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Semantik (DE-588)4054490-4 gnd rswk-swf Semantik (DE-588)4054490-4 s Sprachverarbeitung (DE-588)4116579-2 s DE-604 Computerlinguistik (DE-588)4035843-4 s The Kluwer international series in engineering and computer science 58 : Natural language processing and machine translation (DE-604)BV023545171 58 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001228501&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Dahlgren, Kathleen Naive semantics for natural language understanding The Kluwer international series in engineering and computer science Computerlinguistik (DE-588)4035843-4 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Semantik (DE-588)4054490-4 gnd |
subject_GND | (DE-588)4035843-4 (DE-588)4116579-2 (DE-588)4054490-4 |
title | Naive semantics for natural language understanding |
title_auth | Naive semantics for natural language understanding |
title_exact_search | Naive semantics for natural language understanding |
title_full | Naive semantics for natural language understanding by Kathleen Dahlgren |
title_fullStr | Naive semantics for natural language understanding by Kathleen Dahlgren |
title_full_unstemmed | Naive semantics for natural language understanding by Kathleen Dahlgren |
title_short | Naive semantics for natural language understanding |
title_sort | naive semantics for natural language understanding |
topic | Computerlinguistik (DE-588)4035843-4 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Semantik (DE-588)4054490-4 gnd |
topic_facet | Computerlinguistik Sprachverarbeitung Semantik |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001228501&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV023545171 |
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