Evaluating a model to disambiguate natural language parses on the basis of user language proficiency

Authors:
Lisa N. Michaud;Kathleen F. McCoy
Affiliations:
Dept. of Mathematics and Computer Science, Wheaton College, Norton, MA;Dept. of Computer and Information Sciences, University of Delaware, Newark, DE
Venue:
UM'03 Proceedings of the 9th international conference on User modeling
Year:
2003

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Abstract

This paper discusses the evaluation of an implemented user model in ICICLE, an instruction system for users writing in a second language. We show that in the task of disambiguating natural language parses, a blended model combining overlaytec hniques with user stereotyping representing typical linguistic acquisition sequences successfully captures user individualitywhile supplementing incomplete information with stereotypic reasoning.