A survey on empathetic dialogue systems

• Main Authors: Ma, Yukun, Nguyen, Khanh Linh, Xing, Frank Z., Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Artificial Intelligence; Affective Computing
• Online Access: https://hdl.handle.net/10356/155274
• Institution: Nanyang Technological University

Dialogue systems have achieved growing success in many areas thanks to the rapid advances of machine learning techniques. In the quest for generating more human-like conversations, one of the major challenges is to learn to generate responses in a more empathetic manner. In this review article, we f...