Paper: Identifying Relevant Prior Explanations

ACL ID P93-1038
Title Identifying Relevant Prior Explanations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1993

When human tutors engage in dialogue, they freely exploit all aspects of the mutually known context, including the previous discourse. Utterances that do not draw on previous discourse seem awkward, unnatural, or even incoherent. Previous discourse must be taken into account in order to relate new information effectively to recently conveyed mate- rial, and to avoid repeating old material that would distract the student from what is new. Producing a system that displays such behavior involves finding an efficient way to identify which previous explanations (if any) are relevant to the current explanation task. Thus, we axe implement- ing a system that uses a case-based reasoning ap- proach to identify previous situations and expla- nations that could potentially affect the explana- tion be...