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Naive semantics for natural language understanding

Naive semantics for natural language understanding (Loan 2 times)

Material type
단행본
Personal Author
Dahlgren, Kathleen, 1942-
Title Statement
Naive semantics for natural language understanding / by Kathleen Dahlgren.
Publication, Distribution, etc
Boston :   Kluwer Academic Publishers,   c1988.  
Physical Medium
x, 258 p. : ill. ; 25 cm.
Series Statement
Kluwer international series in engineering and computer science ; Natural language processing and machine translation SEC 58.
ISBN
0898382874
General Note
Includes index.  
Bibliography, Etc. Note
Bibliography: p. [231]-249.
Subject Added Entry-Topical Term
Semantics -- Data processing. Natural language processing (Computer science) Computational linguistics. Discourse analysis -- Data processing.
비통제주제어
Computational linguistics, Semantic aspects,,
000 01380camuu2200325 a 4500
001 000000825975
005 20030819175159
008 880613s1988 maua b 001 0 eng
010 ▼a 88021559 //r93
020 ▼a 0898382874
040 ▼a DLC ▼c DLC ▼d UKM ▼d 211009
049 1 ▼l 111247569
050 0 0 ▼a P325.5.D38 ▼b D34 1988
082 0 0 ▼a 401.430285 ▼2 21
090 ▼a 401.430285 ▼b D131n
100 1 ▼a Dahlgren, Kathleen, ▼d 1942-
245 1 0 ▼a Naive semantics for natural language understanding / ▼c by Kathleen Dahlgren.
260 ▼a Boston : ▼b Kluwer Academic Publishers, ▼c c1988.
300 ▼a x, 258 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Kluwer international series in engineering and computer science ; ▼v SEC 58. ▼a Natural language processing and machine translation
500 ▼a Includes index.
504 ▼a Bibliography: p. [231]-249.
650 0 ▼a Semantics ▼x Data processing.
650 0 ▼a Natural language processing (Computer science)
650 0 ▼a Computational linguistics.
650 0 ▼a Discourse analysis ▼x Data processing.
653 ▼a Computational linguistics ▼a Semantic aspects
830 0 ▼a Kluwer international series in engineering and computer science ; ▼v SECS 58.
830 0 ▼a Kluwer international series in engineering and computer science. ▼p Natural language processing and machine translation.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 401.430285 D131n Accession No. 111247569 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


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
 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 = 111
   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 Strategy = 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
  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
   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


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