Representation and Inference for Natural Language: A First Course in Computational Semantics / Edition 1

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Overview

How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.

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Product Details

Meet the Author

Patrick Blackburn is director of research at INRIA, France's national organization for research in computer science. Johan Bos is senior researcher at the School of Informatics at the University of Edinburgh.

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Table of Contents

1 First-order logic 1
First-order logic 1
Three inference tasks 19
A first-order model checker 29
First-order logic and natural language 44
2 Lambda calculus 55
Compositionality 55
Two experiments 59
The lambda calculus 66
Implementing lambda calculus 73
Grammar engineering 86
3 Underspecified representations 105
Scope ambiguities 105
Montague's approach 109
Storage methods 112
Hole semantics 127
4 Propositional inference 155
From models to proofs 155
Propositional tableaus 158
Implementing propositional tableau 168
Propositional resolution 174
Implementng propositional resolution 185
Theoretical remarks 191
5 First-order inference 203
A first-order tableau system 204
Unification 209
Free-variable tableaus 215
Implementng free-variable tableaus 219
First-order resolution 225
Implementng first-order resolution 231
Off-the-shelf theorem provers 235
Model building 242
6 Putting it all together 259
Baby Curt 259
Rugrat Curt 264
Clever Curt 267
Sensitive Curt 272
Scrupulous Curt 277
Knowledgeale Curt 281
Helpful Curt 293
A Running the software - FAQ 309
B Propositional logic 311
C Automated reasoning for first-order logic 315
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