Improving contextual coherence in variational personalized and empathetic dialogue agents

• Main Authors: Lee, Jing Yang, Lee, Kong Aik, Gan, Woon Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• 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
• Institution: Nanyang Technological University

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,...