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We introduce extreme summarization, a new single-document summarization task which does not favor extractive strategies and calls for an abstractive modeling approach.
Best-worst scaling: A model for the largest difference judgments
Jordan J Louviere and George G Woodworth. 1991 · 1991
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Automatic Summarization
Inderjeet Mani. 2001 · 2001
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003 · 2003
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Automatic evaluation of summaries using n-gram co-occurrence statistics
Chin-Yew Lin and Eduard Hovy. 2003 · 2003
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Automatic text summarization of newswire: Lessons learned from the Document Understanding Conference
Ani Nenkova. 2005 · 2005
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Learning-based single-document summarization with compression and anaphoricity constraints
Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. 2016 · 2008
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The New York Times Annotated Corpus
Evan Sandhaus. 2008 · 2008
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Discourse constraints for document compression
James Clarke and Mirella Lapata. 2010 · 2010
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Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
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Automatic summarization
Ani Nenkova and Kathleen McKeown. 2011 · 2011
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Context dependent recurrent neural network language model
Tomas Mikolov and Geoffrey Zweig. 2012 · 2012
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On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
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On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl, and Geoffrey Hinton. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Best-worst scaling: Theory, methods and applications
Jordan J Louviere, Terry N Flynn, and Anthony Alfred John Marley. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston, and Rob Fergus. 2015 · 2015
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Distraction-based neural networks for modeling documents
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, and Hui Jiang. 2016 · 2016
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2017 · 2017
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Best-worst scaling more reliable than rating scales: A case study on sentiment intensity annotation
Svetlana Kiritchenko and Saif Mohammad. 2017 · 2017
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SummaRuNNer: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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Neural extractive summarization with side information
Shashi Narayan, Nikos Papasarantopoulos, Shay B. Cohen, and Mirella Lapata. 2017 · 2017
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The limits of automatic summarisation according to rouge
Natalie Schluter. 2017 · 2017
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Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
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Contextual LSTM (CLSTM) models for large scale NLP tasks
Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, and Larry Heck. 2016 · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, and Bing Xiang. 2016 · 2016
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Why neural translations are the right length
Xing Shi, Kevin Knight, and Deniz Yuret. 2016 · 2016
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Language modeling with gated convolutional networks
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
Cited alongside, same era.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Abstractive document summarization with a graph-based attentional neural model
Jiwei Tan and Xiaojun Wan. 2017 · 2017
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Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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NEWSROOM: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018
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Multi-reward reinforced summarization with saliency and entailment
Ramakanth Pasunuru and Mohit Bansal. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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