Building Natural Language Generation Systems

Building Natural Language Generation Systems

by Ehud Reiter, Robert Dale
     
 

This book explains how to build Natural Language Generation (NLG) systems—computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book

Overview

This book explains how to build Natural Language Generation (NLG) systems—computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It is essential reading for researchers interested in NLP, AI, and HCI; and for developers interested in advanced document-creation technology.

Editorial Reviews

From the Publisher
"Consistent and well-developed...a valuable guide..." General Linguistics

"[A]n indispensable guide...extremely well-organized and well-written." User Modeling and User-Adapted Interaction

"Each topic is clearly presented...the information is very well organized...It is detailed, without being too dense or overloaded with technical jargon...This book should be read by anyone interested in natural language processing who wants to get a better idea of the specifics of NLG." Computing Reviews

Product Details

ISBN-13:
9780521024518
Publisher:
Cambridge University Press
Publication date:
03/28/2006
Series:
Studies in Natural Language Processing Series
Edition description:
First Edition
Pages:
272
Sales rank:
971,702
Product dimensions:
5.98(w) x 9.02(h) x 0.63(d)

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