PyDial: A Multi-domain Statistical Dialogue System Toolkit
Stefan Ultes,Lina Maria Rojas-Barahona,Pei-Hao Su,David Vandyke,Dongho Kim,Iñigo Casanueva,Paweł Budzianowski,Nikola Mrkšić,Tsung-Hsien Wen,Milica Gasic,Steve Young +10 more
- pp 73-78
TLDR
PyDial is an opensource end-to-end statistical spoken dialogue system toolkit which provides implementations of statistical approaches for all dialogue system modules and has been extended to provide multidomain conversational functionality.Abstract:
Statistical Spoken Dialogue Systems have been around for many years. However, access to these systems has always been difficult as there is still no publicly available end-to-end system implementation. To alleviate this, we present PyDial, an opensource end-to-end statistical spoken dialogue system toolkit which provides implementations of statistical approaches for all dialogue system modules. Moreover, it has been extended to provide multidomain conversational functionality. It offers easy configuration, easy extensibility, and domain-independent implementations of the respective dialogue system modules. The toolkit is available for download under the Apache 2.0 license.read more
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References
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A Network-based End-to-End Trainable Task-oriented Dialogue System
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Proceedings ArticleDOI
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