Dialogue acts model the intent underlying dialogue moves. In natural language tutorial dialogue, student dialogue moves hold important information about knowledge and goals, and are therefore an integral part of providing adaptive tutoring. Automatically classifying these dialogue acts is a challenging task, traditionally addressed with supervised classification techniques requiring substantial...

We propose a new approach to developing a tractable affective dialogue model for general probabilistic frame-based dialogue systems. The dialogue model, based on the Partially Observable Markov Decision Process (POMDP) and the Dynamic Decision Network (DDN) techniques, is composed of two main parts, the slot level dialogue manager and the global dialogue manager. Our implemented dialogue manage...

Dialogue modelling attempts to determine the way in which a dialog is developed. The dialogue strategy (i.e., the system behaviour) of an automatic dialogue system is determined by the dialogue model. Most dialogue systems use rule-based dialogue strategies, but recently, the probabilistic models have become very promising. We present probabilistic models based on the dialogue act concept, whic...

This paper introduces a new approach to dialogue. This approach is based on the idea that dialogue can be seen as a form of two-person knowledge base editing. In a dialogue, it is the dialogue history which is being edited. We propose some constraints on editing dialogue histories which distinguish dialogue from knowledge base editing in general. We claim that our proposal yields both interesti...