Improving contextual coherence in variational personalized and empathetic dialogue agents

Improving contextual coherence in variational personalized and empathetic dialogue agents

In recent years, latent variable models, such as the Conditional Variational Auto Encoder (CVAE), have been applied to both personalized and empathetic dialogue generation. Prior work have largely focused on generating diverse dialogue responses that exhibit persona consistency and empathy. However,...

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Bibliographic Details
Main Authors: Lee, Jing Yang, Lee, Kong Aik, Gan, Woon Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Dialogue Generation
Latent Variables
Online Access:https://hdl.handle.net/10356/159792

Internet

https://hdl.handle.net/10356/159792

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