Emotional editing constraint conversation content generation based on reinforcement learning
Abstract
In recent years, the generation of conversation content based on deep neural networks has attracted many researchers. However, traditional neural language models tend to generate general replies, lacking logical and emotional factors. This paper proposes a conversation content generation model that combines reinforcement learning with emotional editing constraints to generate more meaningful and customizable emotional replies. The model divides...
Paper Details
Title
Emotional editing constraint conversation content generation based on reinforcement learning
Published Date
Apr 1, 2020
Journal
Volume
56
Pages
70 - 80
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