A Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency: Design and Evaluation
Article - Merrimack Access Only
User Modeling and User-Adapted Interaction
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.
Michaud, L. N.,
McCoy, K. F.,
Davis, R. Z.
(2005). A Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency: Design and Evaluation. User Modeling and User-Adapted Interaction, 15(1-2), 55-84.
Available at: https://scholarworks.merrimack.edu/cs_facpub/10