@InProceedings{Supelec596,
author = {Stéphane Rossignol and Olivier Pietquin and Michel Ianotto},
title = {{Simulation du processus de croyance mutuelle de la compréhension dans le dialogue (grounding process) à l'aide des réseaux bayésiens}},
year = {2010},
booktitle = {{Actes des Journées d'Etude de la Parole (JEP 2010)}},
month = {May},
note = {5 pages},
address = {Mons (Belgium)},
url = {http://www.metz.supelec.fr//metz/personnel/pietquin/pdf/JEP_2010_SRMIOP.pdf},
abstract = {User simulation has become an important trend of
research in the field of spoken dialogue systems because
collecting and annotating real interactions with
users is often expensive and time consuming. Yet, such
data are generally required for designing and assessing
efficient dialogue systems. The general problem
of user simulation is thus to produce as many as necessary
natural, various and consistent interactions from
as few data as possible. In this paper, we propose a
user simulation method based on Bayesian Networks
(BN) that is able to produce consistent interactions
in terms of user goal and dialogue history but also
to simulate the grounding process that often appears
in human-human interactions. The BN is trained on
a database of 1234 human-machine dialogues in the
TownInfo domain (a tourist information application).
Experiments with a state-of-the-art dialogue system
(REALL-DUDE/DIPPER/OAA) have been realized
and promising results are presented.}
}