Abstract
Text generation is an extremely valuable adjunct to expert system advisors: the advice becomes accessible to a wider audience. Examples of successful use of explanation and text generation facilities within an expert system include MYCIN’s translator [Buchanan 84] and ATTENDING’s use of PROSENET [Miller 84]. Expert system builders may often feel they cannot afford to develop their own text generation program. Research issues which are more central to their projects may take priority.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Rennels, G.D. (1987). Text Generation. In: A Computational Model of Reasoning from the Clinical Literature. Lecture Notes in Medical Informatics, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93363-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-93363-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-17949-8
Online ISBN: 978-3-642-93363-9
eBook Packages: Springer Book Archive