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

by Patrick Blackburn, Johan Bos

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.

Genres: Linguistics, Programming, Computer Science

376 pages, Paperback

First published April 6, 2005

Reviews

[Leonardo]

...the first textbook devoted to computational semantics, and provides an excellent introduction to the area. It expands on many of the topics covered in this chapter, including underspecification of quantifier scope ambiguity, first-order inference, and discourse processing.

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[Jules]

This book almost brought me to tears. Almost.