Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering

Recent advances in artificial intelligence and natural language processing greatly enhance the capabilities of intelligent tutoring systems. However, gathering a subject-appropriate corpus of training data remains challenging. In order to address this issue, we present a system based on a hybrid Wizard-of-Oz technique, which enables cognitive systems to work in tandem with a human operator (the “wizard”), to enhance collection of dialog variants.