Surface generation in a tutorial dialogue based on analysis of human tutoring sessions

Abstract

Presents a surface generator for an intelligent tutoring system based on analysis of human tutoring sessions. The tutoring system is designed to help first-year medical students understand the negative feedback system that regulates blood pressure. The authors illustrate the generation of appropriate natural language output using Lexical Functional Grammar based on a study of the cardiovascular sublanguage.<>