Generating personalized dialogue via multi-task meta-learning

• 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: 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Multi-Task Meta-Learning; Personalized Dialogue Generation
• Online Access: https://semdial2021.ling.uni-potsdam.de/assets/semdial2021_potsdial_full_proceedings.pdf; https://hdl.handle.net/10356/153442
• Institution: Nanyang Technological University

Conventional approaches to personalized dialogue generation typically require a large corpus, as well as predefined persona information. However, in a real-world setting, neither a large corpus of training data nor persona information are readily available. To address these practical limitations, we...