Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (359kB) | Preview |
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.
Title: | A Bayesian Networks Approach for Dialog Modeling: The Fusion BN |
---|---|
Author/s: |
|
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 |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (359kB) | Preview |
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.
Item ID: | 5579 |
---|---|
DC Identifier: | https://oa.upm.es/5579/ |
OAI Identifier: | oai:oa.upm.es:5579 |
Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
Deposited by: | Memoria Investigacion |
Deposited on: | 22 Dec 2010 10:16 |
Last Modified: | 20 Apr 2016 14:21 |