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JAIR
2007

Individual and Domain Adaptation in Sentence Planning for Dialogue

9 years 1 months ago
Individual and Domain Adaptation in Sentence Planning for Dialogue
One of the biggest challenges in the development and deployment of spoken dialogue systems is the design of the spoken language generation module. This challenge arises from the need for the generator to adapt to many features of the dialogue domain, user population, and dialogue context. A promising approach is trainable generation, which uses general-purpose linguistic knowledge that is automatically adapted to the features of interest, such as the application domain, individual user, or user group. In this paper we present and evaluate a trainable sentence planner for providing restaurant information in the MATCH dialogue system. We show that trainable sentence planning can produce complex information presentations whose quality is comparable to the output of a templatebased generator tuned to this domain. We also show that our method easily supports adapting the sentence planner to individuals, and that the individualized sentence planners generally perform better than models trai...
Marilyn A. Walker, Amanda Stent, François M
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JAIR
Authors Marilyn A. Walker, Amanda Stent, François Mairesse, Rashmi Prasad
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