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Get To The Point: Summarization with Pointer-Generator Networks

14 April 2017

A. See

Peter J. Liu

Christopher D. Manning

3DPC

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Papers citing "Get To The Point: Summarization with Pointer-Generator Networks"

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Title
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The Rule of Three: Abstractive Text Summarization in Three Bullet Points Tomonori Kodaira Mamoru Komachi 44 4 0 28 Sep 2018
Iterative Document Representation Learning Towards Summarization with Polishing Preslav Nakov Shen Gao Chongyang Tao Yan Song Dongyan Zhao Rui Yan 82 41 0 27 Sep 2018
BanditSum: Extractive Summarization as a Contextual Bandit Yue Dong Songlin Yang Eric Crawford H. V. Hoof Jackie C.K. Cheung 70 181 0 25 Sep 2018
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A Dataset for Document Grounded Conversations Kangyan Zhou Shrimai Prabhumoye A. Black 92 241 0 19 Sep 2018
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization Kamal Al-Sabahi Zuping Zhang Kang Yang AIMat 73 22 0 18 Sep 2018
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Quantum Statistics-Inspired Neural Attention Aristotelis Charalampous S. Chatzis 33 0 0 17 Sep 2018
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Learning to Summarize Radiology Findings Yuhao Zhang D. Ding Tianpei Qian Christopher D. Manning C. Langlotz MedIm 68 128 0 12 Sep 2018
Closed-Book Training to Improve Summarization Encoder Memory Yichen Jiang Joey Tianyi Zhou RALM 71 28 0 12 Sep 2018
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation Feng Nie Jinpeng Wang Jin-ge Yao Rong Pan Chin-Yew Lin 118 22 0 08 Sep 2018
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Modeling Topical Coherence in Discourse without Supervision Disha Shrivastava Abhijit Mishra Karthik Sankaranarayanan 33 2 0 02 Sep 2018
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