A Generative Model for category text generation

• Main Authors: Li, Yang, Pan, Quan, Wang, Suhang, Yang, Tao, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Category Sentence Generation; Generative Adversarial Networks
• Online Access: https://hdl.handle.net/10356/142638
• Institution: Nanyang Technological University

The neural network model has been the fulcrum of the so-called AI revolution. Although very powerful for pattern-recognition tasks, however, the model has two main drawbacks: it tends to overfit when the training dataset is small, and it is unable to accurately capture category information when the...