DLVGen: a dual latent variable approach to personalized dialogue generation

• 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; Engineering::Electrical and electronic engineering; Personalized Dialogue; Natural Language Generation
• Online Access: https://hdl.handle.net/10356/159791; https://icaart.scitevents.org/BooksPublishedScitepress.aspx
• Institution: Nanyang Technological University

The generation of personalized dialogue is vital to natural and human-like conversation. Typically, personalized dialogue generation models involve conditioning the generated response on the dialogue history and a representation of the persona/personality of the interlocutor. As it is impractical to...