Abstract
This paper discusses the design and 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 captures user individuality while supplementing incomplete information with stereotypic reasoning
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Michaud, L.N., McCoy, K.F. & Davis, R.Z. A Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency: Design and Evaluation. User Model User-Adap Inter 15, 55–84 (2005). https://doi.org/10.1007/s11257-004-6262-0
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DOI: https://doi.org/10.1007/s11257-004-6262-0