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We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition.
Insertion transformer: Flexible sequence generation via insertion operations
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Answer-based adversarial training for generating clarification questions
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Efficient adaptation of pretrained transformers for abstractive summarization
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Text summarization with pretrained encoders
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Informative and controllable opinion summarization
Amplayo, R. K.; and Lapata, M. 2019 · 1909
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Automatic Fact-guided Sentence Modification
Shah, D. J.; Schuster, T.; and Barzilay, R. 2019 · 1909
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Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Xu, P.; Wu, C.-S.; Madotto, A.; and Fung, P. 2019 · 1909
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Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
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Evaluating the factual consistency of abstractive text summarization
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Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2019 · 1910
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Concept Pointer Network for Abstractive Summarization
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Generating summaries of multiple news articles
McKeown, K.; and Radev, D. R. 1995 · 1995
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Long short-term memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
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The use of MMR, diversity-based reranking for reordering documents and producing summaries
Carbonell, J.; and Goldstein, J. 1998 · 1998
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Generating Natural Language Summaries from Multiple On-Line Sources
Radev, D. R.; and McKeown, K. R. 1998 · 1998
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Information fusion in the context of multi-document summarization
Barzilay, R.; McKeown, K.; and Elhadad, M. 1999 · 1999
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BLEU: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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Shen, T.; Quach, V.; Barzilay, R.; and Jaakkola, T. 2020 · 2002
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y. 2004 · 2004
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Textrank: Bringing order into text
Mihalcea, R.; and Tarau, P. 2004 · 2004
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Sentence fusion for multidocument news summarization
Barzilay, R.; and McKeown, K. R. 2005 · 2005
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Scientific paper summarization using citation summary networks
Qazvinian, V.; and Radev, D. R. 2008 · 2008
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Exploring content models for multi-document summarization
Haghighi, A.; and Vanderwende, L. 2009 · 2009
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Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
Ganesan, K.; Zhai, C.; and Han, J. 2010 · 2010
Split and Rephrase
Narayan, S.; Gardent, C.; Cohen, S. B.; and Shimorina, A. 2017 · 2017
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A deep reinforced model for abstractive summarization
Paulus, R.; Xiong, C.; and Socher, R. 2017 · 2017
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Get To The Point: Summarization with Pointer-Generator Networks
See, A.; Liu, P. J.; and Manning, C. D. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Deriving machine attention from human rationales
Bao, Y.; Chang, S.; Yu, M.; and Barzilay, R. 2018 · 2018
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Using Likert-Type Scales in the Social Sciences
Croasmun, J. T.; and Ostrom, L. 2011 · 2011
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A novel Likert scale based on fuzzy sets theory
Li, Q. 2013 · 2013
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Generating extractive summaries of scientific paradigms
Qazvinian, V.; Radev, D. R.; Mohammad, S. M.; Dorr, B.; Zajic, D.; Whidby, M.; and Moon, T. 2013 · 2013
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Analyzing and interpreting data from Likert-type scales
Sullivan, G. M.; and Artino Jr, A. R. 2013 · 2013
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Meteor universal: Language specific translation evaluation for any target language
Denkowski, M.; and Lavie, A. 2014 · 2014
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Baumel, T.; Eyal, M.; and Elhadad, M. 2018 · 2018
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Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Chen, Y.-C.; and Bansal, M. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
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Adapting the neural encoder-decoder framework from single to multi-document summarization
Lebanoff, L.; Song, K.; and Liu, F. 2018 · 2018
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Generating wikipedia by summarizing long sequences
Liu, P. J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; and Shazeer, N. 2018 · 2018
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Narayan, S.; Cohen, S. B.; and Lapata, M. 2018 · 2018
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Multi-Reward Reinforced Summarization with Saliency and Entailment
Pasunuru, R.; and Bansal, M. 2018 · 2018
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Reinforcement learning: An introduction
Sutton, R. S.; and Barto, A. G. 2018 · 2018
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A study of reinforcement learning for neural machine translation
Wu, L.; Tian, F.; Qin, T.; Lai, J.; and Liu, T.-Y. 2018 · 2018
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Ncrf++: An open-source neural sequence labeling toolkit
Yang, J.; and Zhang, Y. 2018 · 2018
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Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Zhang, J.; Tan, J.; and Wan, X. 2018 · 2018
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Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Fabbri, A.; Li, I.; She, T.; Li, S.; and Radev, D. 2019 · 2019
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DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
Geva, M.; Malmi, E.; Szpektor, I.; and Berant, J. 2019 · 2019
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Deep reinforcement learning for sequence-to-sequence models
Keneshloo, Y.; Shi, T.; Ramakrishnan, N.; and Reddy, C. K. 2019 · 2019
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An Entity-Driven Framework for Abstractive Summarization
Sharma, E.; Huang, L.; Hu, Z.; and Wang, L. 2019 · 2019
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