A Bayesian Networks Approach for Dialog Modeling: The Fusion BN

Fernández Martínez, Fernando and Ferreiros López, Javier and Córdoba Herralde, Ricardo de and Montero Martínez, Juan Manuel and San Segundo Hernández, Rubén and Pardo Muñoz, José Manuel (2009). A Bayesian Networks Approach for Dialog Modeling: The Fusion BN. In: "IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2009", 19/04/2009 - 24/04/2009, Taipei, Taiwan. ISBN 978-1-4244-2353-8.

Description

Title: A Bayesian Networks Approach for Dialog Modeling: The Fusion BN
Author/s:
  • Fernández Martínez, Fernando
  • Ferreiros López, Javier
  • Córdoba Herralde, Ricardo de
  • Montero Martínez, Juan Manuel
  • San Segundo Hernández, Rubén
  • Pardo Muñoz, José Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2009
Event Dates: 19/04/2009 - 24/04/2009
Event Location: Taipei, Taiwan
Title of Book: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2009
Date: May 2009
ISBN: 978-1-4244-2353-8
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 5579
DC Identifier: http://oa.upm.es/5579/
OAI Identifier: oai:oa.upm.es:5579
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4960702&tag=1
Deposited by: Memoria Investigacion
Deposited on: 22 Dec 2010 10:16
Last Modified: 20 Apr 2016 14:21
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