Feature-aware conditional GAN for category text generation

• Main Authors: Li, Xinze, Mao, Kezhi, Lin, Fanfan, Feng, Zijian
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Category Text Generation; Text Processing
• Online Access: https://hdl.handle.net/10356/171459
• Institution: Nanyang Technological University

Category text generation receives considerable attentions since it is beneficial for various natural language processing tasks. Recently, the generative adversarial network (GAN) has attained promising performance in text generation, attributed to its adversarial training process. However, there...