Memorias de investigación
Ponencias en congresos:
A Bayesian Networks Approach for Dialog Modeling: The Fusion BN
Año:2009
Áreas de investigación
  • Inteligencia artificial,
  • Circuitos electrónicos,
  • Dispositivos electrónicos
Datos
Descripción
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.
Internacional
Si
Nombre congreso
ICASSP 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing
Tipo de participación
960
Lugar del congreso
Taipei, Taiwan
Revisores
Si
ISBN o ISSN
978-1-4244-2354-5
DOI
Fecha inicio congreso
19/04/2009
Fecha fin congreso
24/04/2009
Desde la página
4789
Hasta la página
4792
Título de las actas
Proceedings of the ICASSP 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing,
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica