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 overlay techniques with user stereotyping representing typical linguistic acquisition sequences successfully captures user individuality while supplementing incomplete information with stereotypic reasoning.
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Michaud, L.N., McCoy, K.F. (2003). Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_14
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DOI: https://doi.org/10.1007/3-540-44963-9_14
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