FGGAN: Feature-Guiding Generative Adversarial Networks for Text Generation

FGGAN: Feature-Guiding Generative Adversarial Networks for Text Generation

Text generation is a basic work of natural language processing, which plays an important role in dialogue system and intelligent translation. As a kind of deep learning framework, Generative Adversarial Networks (GAN) has been widely used in text generation. In combination with reinforcement learnin...

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Bibliographic Details
Main Authors: Yang Yang, Xiaodong Dan, Xuesong Qiu, Zhipeng Gao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
text generation
deep learning
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9091179/

Internet

https://ieeexplore.ieee.org/document/9091179/

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