@misc{10481/80254,
year = {2021},
url = {https://hdl.handle.net/10481/80254},
abstract = {One of the most demanding tasks when developing a dialog system consists of deciding the next
system response considering the user’s actions and the dialog history, which is the fundamental
responsibility related to dialog management. A statistical dialog management technique is proposed
in this work to reduce the effort and time required to design the dialog manager. This technique
allows not only an easy adaptation to new domains, but also to deal with the different subtasks for
which the dialog system has been designed. The practical application of the proposed technique
to develop a dialog system for a travel-planning domain shows that the use of task-specific dialog
models increases the quality and number of successful interactions with the system in comparison
with developing a single dialog model for the complete domain.},
organization = {info:eu-repo/grantAgreement/EC/H2020/823907
CAVIAR project (MINECO, TEC2017-84593-C2-1-R, AEI/FEDER, UE)},
publisher = {Springer},
keywords = {Dialogue management},
keywords = {Multi-task dialogue},
title = {Managing Multi-task Dialogs by Means of a Statistical Dialog Management Technique},
author = {Griol Barres, David and Callejas Carrión, Zoraida and Quesada, José F.},
}