Improving contextual coherence in variational personalized and empathetic dialogue agents

• المؤلفون الرئيسيون: Lee, Jing Yang, Lee, Kong Aik, Gan, Woon Seng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Dialogue Generation; Latent Variables
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159792

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,...