Understanding complex natural language explanations in tutorial applications

Authors:
Pamela W. Jordan;Maxim Makatchev;Umarani Pappuswamy
Affiliations:
University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA
Venue:
ScaNaLU '06 Proceedings of the Third Workshop on Scalable Natural Language Understanding
Year:
2006

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Abstract

We describe the Why2-Atlas intelligent tutoring system for qualitative physics that interacts with students via natural language dialogue. We focus on the issue of analyzing and responding to multi-sentential explanations. We explore an approach that combines a statistical classifier, multiple semantic parsers and a formal reasoner for achieving a deeper understanding of these explanations in order to provide appropriate feedback on them.