@InProceedings{Supelec764,
author = {Senthilkumar Chandramohan and Matthieu Geist and Fabrice Lefèvre and Olivier Pietquin},
title = {{Clustering Behaviors Of Spoken Dialogue Systems Users}},
year = {2012},
booktitle = {{Proceedings of the 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)}},
publisher = {IEEE},
pages = {4981 - 4984},
address = {Kyoto (Japan)},
url = {http://www.metz.supelec.fr//metz/personnel/geist_mat/pdfs/Supelec764.pdf},
abstract = {Spoken Dialogue Systems (SDS) are natural language interfaces
for
human-computer interaction. User adaptive dialogue management
strategies are essential to sustain the naturalness of
interaction. In
recent years data-driven methods for dialogue optimization have
evolved to be a state of art approach. However these methods
need
vast amounts of corpora for dialogue optimization. In order to
cope
with the data requirement of these methods, but also to evaluate
the dialogue strategies, user simulations are built. Dialogue
corpora
used to build user simulation are often not annotated in user’s
perspective and thus can only simulate some generic user
behavior,
perhaps not representative of any user. This paper aims at
clustering
dialogue corpora into various groups based on user behaviors
observed in the form of full dialogues.}
}