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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Main Authors: D'Haro, Luis Fernando, Banchs, Rafael E., Hori, Chiori, Li, Haizhou
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2021
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在線閱讀:https://hdl.handle.net/10356/151218
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