Feature-aware conditional GAN for category text generation

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...

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Bibliographic Details
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:
Online Access:https://hdl.handle.net/10356/171459
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Institution: Nanyang Technological University
Language: English
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