Empirically-based control of natural language generation
Paiva, D.S. and Evans, R. (2005) Empirically-based control of natural language generation In: Proceedings of the 43rd Annual Meeting of the ACL, June 2005, Ann Arbor, USA.
Official URL: http://acl.ldc.upenn.edu/P/P05/P05-1008.pdf
In this paper we present a new approach to controlling the behaviour of a natural language generation system by correlating internal decisions taken during free generation of a wide range of texts with the surface stylistic characteristics of the resulting outputs, and using the correlation to control the generator. This contrasts with the generate-and-test architecture adopted by most previous empirically-based generation approaches, offering a more efficient, generic and holistic method of generator control. We illustrate the approach by describing a system in which stylistic variation (in the sense of Biber (1988)) can be effectively controlled during the generation of short medical information texts.
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