Generating explanations in context
Giuseppe Carenini, Johanna D. Moore · 1993
Ifuserinterfaces are toreap thebenefit sofnatural language interaction, they must reendowed with the properties that makehumannatural language interaction so effective.Human-human explanation is an inherently incremental and interactive process.Newinformationmust behighlighted and related to what has already been presented.In this paper, we describe the explanation component of a medical information-giving syst em.We describe the architectural features that enable this component to generate subsequent explanations that take into account the context created by its prior utterances.