Paper: A Model For Generating Better Explanations

ACL ID P87-1030
Title A Model For Generating Better Explanations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1987

Previous work in generating explanations from advice- giving systems has demonstrated that a cooperative sys- tem can and should infer the immediate goals and plans of an utterance (or discourse segment) and formulate a response in light of these goals and plans. The claim of this paper is that a cooperative response may also have to address a user's overall goals, plans, and preferences among those goals and plans. An algorithm is intro- duced that generates user-specific responses by reasoning about the goals, plans and preferences hypothesized about a user.