Memorias de investigación
Communications at congresses:
A Bayesian Networks Approach for Dialog Modeling: The Fusion BN
Year:2009
Research Areas
  • Artificial intelligence,
  • Electronic circuits,
  • Electronic devices
Information
Abstract
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the intention of the user considering the concepts extracted from the last utterance and the dialog context. Subsequently, in order to make a correct decision regarding how the dialog should continue, unnecessary, missing, wrong, optional and required concepts have to be detected according to the inferred goals. This information is useful to properly drive the dialog prompting for missing concepts, clarifying for wrong concepts, ignoring unnecessary concepts and retrieving those required and optional. This paper presents a novel BNs approach where a single BN is obtained from N goal-specific BNs through a fusion process. The new fusion BN enables a single concept analysis which is more consistent with the whole dialog context.
International
Si
Congress
ICASSP 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing
960
Place
Taipei, Taiwan
Reviewers
Si
ISBN/ISSN
978-1-4244-2354-5
Start Date
19/04/2009
End Date
24/04/2009
From page
4789
To page
4792
Proceedings of the ICASSP 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing,
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica