We describe an approach to presenting information in spoken dialogues that for the first time brings together multi-attribute decision models, strategic content planning, state-of...
Johanna D. Moore, Mary Ellen Foster, Oliver Lemon,...
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
Steve Young, Milica Gasic, Simon Keizer, Fran&cced...
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...
Abstract. The ability to lead collaborative discussions and appropriately scaffold learning has been identified as one of the central advantages of human tutorial interaction [6]. ...
Heather Pon-Barry, Brady Clark, Karl Schultz, Eliz...
This paper describes the application of the PARADISE evaluation framework to the corpus of 662 human-computer dialogues collected in the June 2000 Darpa Communicator data collecti...
Marilyn A. Walker, Rebecca J. Passonneau, Julie E....