FRB-Dialog: A Toolkit for Automatic Learning of Fuzzy-Rule Based (FRB) Dialog Managers View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

David Griol , Aracel Sanchis de Miguel , José Manuel Molina

ABSTRACT

This paper describes a toolkit designed to automatically develop dialog managers for spoken dialog system based on evolving Fuzzy-rule-based (FRB) classifiers. The FRB-dialog toolkit allows to develop dialog managers selecting the next system action by considering a set of dynamic rules that are automatically obtained by means of the application of the FRB classification process. Our approach bridges the gap between the academic and industrial perspectives for developing dialog systems, taking into account the data supplied by the user throughout the complete dialog history without causing scalability problems, and also considering confidence measures provided by the recognition and understanding modules. More... »

PAGES

306-317

Book

TITLE

Hybrid Artificial Intelligent Systems

ISBN

978-3-319-59649-5
978-3-319-59650-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-59650-1_26

DOI

http://dx.doi.org/10.1007/978-3-319-59650-1_26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086387388


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