Deep Reinforcement Learning with Copy-oriented Context Awareness and Weighted Rewards for Abstractive Summarization

Author:

Tan Caidong1ORCID

Affiliation:

1. Hefei University of Technology, China

Publisher

ACM

Reference24 articles.

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2. Samy Bengio , Oriol Vinyals , Navdeep Jaitly , and Noam Shazeer . 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems 28 ( 2015 ). Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems 28 (2015).

3. C Chang , C Huang , and Jane Yungjen Hsu . 2018. A hybrid word-character model for abstractive summarization. arXiv preprint arXiv:1802.09968 ( 2018 ). C Chang, C Huang, and Jane Yungjen Hsu. 2018. A hybrid word-character model for abstractive summarization. arXiv preprint arXiv:1802.09968 (2018).

4. Sepp Hochreiter and Jürgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735–1780. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735–1780.

5. Baotian Hu , Qingcai Chen , and Fangze Zhu . 2015 . Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865 (2015). Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015. Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865 (2015).

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