Developing an intelligent tutoring system using natural language for knowledge representation

Authors:
Sung-Young Jung;Kurt VanLehn
Affiliations:
Intelligent Systems Program, University of Pittsburgh, Pennsylvania;School of Computing Informatics and Decision Systems Engineering, Arizona State University, Arizona
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Year:
2010

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Abstract

Authoring the domain knowledge of an intelligent tutoring system (ITS) is a well-known problem, and an often-mentioned approach is to use authors who are domain experts Unfortunately, this approach requires that potential authors learn to write and debug knowledge written in a formal knowledge representation language If authors were able to use natural language to represent knowledge it would allow them to add and update knowledge far more easily In this paper, the design of such an authoring system, ‘Natural-K' is presented Natural-K is an authoring system in which domain authors including non-programmers are able to add problem statements and background knowledge such as commonsense, in natural language.