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Building applied natural language generation systems

Published online by Cambridge University Press:  01 March 1997

EHUD REITER
Affiliation:
Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, Scotland; (e-mail: ereiter@csd.abdn.ac.uk)
ROBERT DALE
Affiliation:
Microsoft Research Institute, Macquarie University, Sydney, NSW 2109, Australia; (e-mail: Robert.Dale@mq.edu.au)

Abstract

In this article, we give an overview of Natural Language Generation (NLG) from an applied system-building perspective. The article includes a discussion of when NLG techniques should be used; suggestions for carrying out requirements analyses; and a description of the basic NLG tasks of content determination, discourse planning, sentence aggregation, lexicalization, referring expression generation, and linguistic realisation. Throughout, the emphasis is on established techniques that can be used to build simple but practical working systems now. We also provide pointers to techniques in the literature that are appropriate for more complicated scenarios.

Type
Research Article
Copyright
1997 Cambridge University Press

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