A Knowledge Driven Dialogue Model With Reinforcement Learning

In recent decades, many researchers pay a lot of attention on generating informative responses in end-to-end neural dialogue systems. In order to output the responses with knowledge and fact, many works leverage external knowledge to guide the process of response generation. However, human dialogue...

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Bibliographic Details
Main Authors: Yongnan Jia, Gaochen Min, Cong Xu, Xisheng Li, Dezheng Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9091129/