While most dialogue systems restrict themselves to the adjustment of the propositional contents, our work concentrates on the generation of stylistic variations in order to improve...
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
This paper describes an attempt to reveal the user’s intention from dialogue acts, thereby improving the effectiveness of natural interfaces to pedagogical agents. It focuses o...
This paper reports on the creation of the multimodal NIMITEK corpus of affected behavior in human-machine interaction and its role in the development of the NIMITEK prototype syst...
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...