Generating Semantically Similar and Human-Readable Summaries With Generative Adversarial Networks

Author:

Zhuang HaojieORCID,Zhang Weibin

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Visual Analytics for NASCAR Motorsports;Journal of Data Science;2024

2. Textual Alchemy: Transmuting BERT Summaries with GAN Elegance;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14

3. Constraint-Based Adversarial Networks for Unsupervised Abstract Text Summarization;International Journal of Pattern Recognition and Artificial Intelligence;2023-09-30

4. Abstractive Text Summarization Models Using Machine Learning Algorithms;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

5. An abstractive text summarization technique using transformer model with self-attention mechanism;Neural Computing and Applications;2023-06-01

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