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Created June 14, 2019 17:30
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summ-papers.md
  • Rush, A. M., Chopra, S., and Weston, J. (2015). A neural attention model for abstractive sentence summarization.
  • Chopra, S., Auli, M., and Rush, A. M. (2016). Abstractive sentence summarization with attentive recurrent neural networks.
  • Nallapati, R., Zhou, B., and Ma, M. (2016). Classify or select: Neural architectures for extractive document summarization.
  • Nallapati, R., Zhou, B., dos Santos, C. N., Gülçehre, Ç., and Xiang, B. (2016). Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.
  • Nallapati, R., Zhai, F., and Zhou, B. (2017). Summarunner: A recurrent neural network based sequence model for extractive summarization of documents.
  • See, A., Liu, P. J., and Manning, C. D. (2017). Get to the point: Summarization with pointer-generator networks.
  • Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I. (2017). Attention is all you need.
  • Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer (2018). Generating Wikipedia by Summarizing Long Sequences
  • Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi (2018). Deep Communicating Agents for Abstractive Summarization
  • Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush (2018). Bottom-Up Abstractive Summarization
  • Katharina Kann, Sascha Rothe, Katja Filippova (2018). Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
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