A survey on text generation using generative adversarial networks

作者：

Highlights：

• Surveys and discusses the advancements in GAN-based text generation.

• Composed of thirty-five papers about GAN-based text generation.

• Provides a unique source of recent GAN-based text generation researches.

• All surveyed works ranges from 2016 to 2020.

摘要

•Surveys and discusses the advancements in GAN-based text generation.•Composed of thirty-five papers about GAN-based text generation.•Provides a unique source of recent GAN-based text generation researches.•All surveyed works ranges from 2016 to 2020.

论文关键词：Text generation,Generative adversarial Networks,Machine learning,Language modeling,Natural language processing

论文评审过程：Received 19 January 2021, Revised 10 May 2021, Accepted 3 June 2021, Available online 9 June 2021, Version of Record 22 June 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108098