A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems

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dc.contributor.author Griol Barres, David
dc.contributor.author Iglesias Martínez, José Antonio
dc.contributor.author Ledezma Espino, Agapito Ismael
dc.contributor.author Sanchis de Miguel, María Araceli
dc.date.accessioned 2021-02-08T08:18:44Z
dc.date.available 2021-02-08T08:18:44Z
dc.date.issued 2016-02-01
dc.identifier.bibliographicCitation Griol, D., Iglesias, J. A., Ledezma, A. and Sanchis, A. (2016). A Two-stage Combining Classifier Model for the Development of Adaptive Dialog Systems. International Journal of Neural Systems, 26(1)
dc.identifier.issn 0129-0657
dc.identifier.uri http://hdl.handle.net/10016/31873
dc.description.abstract This paper proposes a statistical framework to develop user-adapted spoken dialog systems. The proposed framework integrates two main models. The first model is used to predict the user's intention during the dialog. The second model uses this prediction and the history of dialog up to the current moment to predict the next system response. This prediction is performed with an ensemble-based classifier trained for each of the tasks considered, so that a better selection of the next system can be attained weighting the outputs of these specialized classifiers. The codification of the information and the definition of data structures to store the data supplied by the user throughout the dialog makes the estimation of the models from the training data and practical domains manageable. We describe our proposal and its application and detailed evaluation in a practical spoken dialog system.
dc.language.iso eng
dc.publisher World Scientific Publishing Company
dc.rights © World Scientific Publishing Company Atribución-Nocomercial-Sinderivadas 3.0 España
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Spoken Dialog Systems
dc.subject.other Dialog Management
dc.subject.other User Models
dc.subject.other Classifier Systems
dc.subject.other Artificial Neural Networks
dc.subject.other Clustering
dc.subject.other Spoken Human-Machine Interaction
dc.subject.other Function Neural-Network
dc.subject.other Particle Swarm Optimization
dc.subject.other Freeway Incident Detection
dc.subject.other User Simulation
dc.subject.other Spoken
dc.subject.other Management
dc.subject.other Algorithm
dc.subject.other Design
dc.subject.other Recognition
dc.subject.other Task
dc.title A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1142/S0129065716500027
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 1
dc.identifier.publicationlastpage 23
dc.identifier.publicationtitle International Journal of Neural Systems
dc.identifier.publicationvolume 26
dc.identifier.uxxi AR/0000017613
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