NLP-tutorial

We describe two tutorial dialogue systems that adapt techniques from task-oriented dialogue systems to tutorial dialogue with separate domain reasoners to provide the necessary knowledge about the correctness of student answers and hinting strategies.

We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation techniques are used to produce natural sounding feedback adapted to student performance and the dialogue history, and context is used to interpret tentative answers phrased as questions.