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Computational Linguistics, Semantics
Representation and Inference for Natural Language: A First Course in Computational Semantics by Patrick Blackburn β€” book cover

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

by Patrick Blackburn, Johan Bos
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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.

Synopsis

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.

About the Author, Patrick Blackburn

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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Book Details

Published
April 1, 2005
Publisher
Center for the Study of Language and Inf
Pages
376
Format
Paperback
ISBN
9781575864969

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