Representation and Inference for Natural Language
A First Course in Computational Semantics
Published on 6. April 2005
Book
Paperback/Softback
376 pages
978-1-57586-496-9 (ISBN)
Description
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 sub discipline. 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.
Reviews / Votes
"An exciting combination of standard Montague techniques, modern approaches to underspecification, and the use of first order theorem provers, all in a book that can be used by advanced undergraduates or graduate students." - Robin Cooper, Gorg University"More details
Series
Language
English
Place of publication
Stanford
United States
Target group
Professional and scholarly
Dimensions
Height: 23 mm
Width: 15 mm
Thickness: 2 mm
Weight
510 gr
ISBN-13
978-1-57586-496-9 (9781575864969)
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Schweitzer Classification
Persons
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.