TS-GAN with Policy Gradient for Text Summarization

Author:

Dang Nobel,Khanna Ashish,Allugunti Viswanatha Reddy

Publisher

Springer Singapore

Reference19 articles.

1. Moratanch N, Gopalan C (2017) A survey on extractive text summarization. In: International Conference on Computer, Communication and Signal Processing (ICCCSP)

2. Khamparia A, Pander B, Tiwari S, Gupta D, Khanna A, Rodrigues J (2019) An integrated hybrid cnn-rnn model for visual description and generation of captions. In: Circuits, Systems and Signal Processing, Springer

3. Yew CL (2004) ROUGE: a package for automatic evaluation of summaries. In: Proceedings of the Workshop on Text Summarization Branches Out (WAS 2004), Barcelona, Spain

4. Zhuang H, Zhang W (2019) Generating semantically similar and human-readable summaries with generative adversarial networks. IEEE Access 7:169426–169433

5. See A, Liu JP, Manning DC (2017) Get to the point: summarization with pointer-generator networks. In Proceedings 55th Annual Meeting Assoc. Comput. Linguistics, vol 1, pp 1073–1083

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