Learning to balance the coherence and diversity of response generation in generation-based chatbots

Generating response with both coherence and diversity is a challenging task in generation-based chatbots. It is more difficult to improve the coherence and diversity of dialog generation at the same time in the response generation model. In this article, we propose an improved method that improves t...

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Bibliographic Details
Main Authors: Shuliang Wang, Dapeng Li, Jing Geng, Longxing Yang, Hongyong Leng
Format: Article
Language:English
Published: SAGE Publishing 2020-08-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881420953006