Paper: Empirically-Based Control Of Natural Language Generation

ACL ID P05-1008
Title Empirically-Based Control Of Natural Language Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005

In this paper we present a new approach to controlling the behaviour of a natural lan- guage generation system by correlating in- ternal decisions taken during free generation of a wide range of texts with the surface sty- listic characteristics of the resulting outputs, and using the correlation to control the gen- erator. This contrasts with the generate-and- test architecture adopted by most previous empirically-based generation approaches, offering a more efficient, generic and holis- tic method of generator control. We illus- trate 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 in- formation texts.