Automatic evaluation of end-to-end dialog systems with adequacy-fluency metrics

End-to-end dialog systems are gaining interest due to the recent advances of deep neural networks and the availability of large human–human dialog corpora. However, in spite of being of fundamental importance to systematically improve the performance of this kind of systems, automatic evaluation of...

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Bibliographic Details
Main Authors: D'Haro, Luis Fernando, Banchs, Rafael E., Hori, Chiori, Li, Haizhou
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/151218
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Institution: Nanyang Technological University
Language: English