A Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency: Design and Evaluation

  • Authors:
  • Lisa N. Michaud;Kathleen F. McCoy;Rashida Z. Davis

  • Affiliations:
  • Department of Mathematics and Computer Science, Wheaton College, Norton, USA 02766;Department of Computer and Information Sciences, University of Delaware, Newark, USA 19716;Department of Mathematics and Computer Science, Wheaton College, Norton, USA 02766

  • Venue:
  • User Modeling and User-Adapted Interaction
  • Year:
  • 2005

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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