End-to-end dialog modeling

In contrast to component-based dialogue systems (such as speech recognition, natural language generation, dialogue management and speech synthesis), this topic concentrates on end-to-end modelling of voice dialogues. The goal is to represent dialogues in a vector space, where it will be possible to semi-automatically or fully automatically design conversational models in the form of finite-state automata graphs from an unannotated set of voice or text training dialogues. This will lead to trustworthy and explainable modeling of conversations.