A challenge in dialogue act recognition is the mapping from noisy user inputs to dialogue acts. In this paper we describe an approach for re-ranking dialogue act hypotheses based on Bayesian classifiers that incorporate dialogue history and Automatic Speech Recognition (ASR) N-best information. We report results based on the Let’s Go dialogue corpora that show (1) that including ASR N-best info...

We present the dialogue component of the speech-to-speech translation system verb-mobil. In contrast to conventional dialogue systems it mediates the dialogue while processing maximally 50% of the dialogue in depth. Special requirements (ro-bustness and eeciency) lead to a 3-layered hybrid architecture for the dialogue module , using statistics, an automaton and a planner. A dialogue memory is ...

This paper presents a human-machine dialogue model in the field of task-oriented dialogues. The originality of this model resides in the clear separation of dialogue knowledge from task knowledge in order to facilitate for the modeling of dialogue strategies and the maintenance of dialogue coherence. These two aspects are crucial in the field of oral dialogues with a machine considering the cur...

According to argumentation theory, reasoning takes place in different types of dialogue: persuasion dialogue, negotiation, deliberation, information-seeking dialogue, inquiry, and eristic dialogue. These different dialogue types may be nested within one another. Current research in artificial intelligence is building formal models corresponding to each of these types of dialogue and showing how...