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Till now, neural abstractive summarization methods have achieved great success for single document summarization (SDS).
Concept-based summarization using integer linear programming: From concept pruning to multiple optimal solutions
Florian Boudin, Hugo Mougard, and Benoît Favre. 2015 · 1918
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Generating summaries of multiple news articles
Kathleen McKeown and Dragomir R. Radev. 1995 · 1995
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime G. Carbonell and Jade Goldstein. 1998 · 1998
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Towards multidocument summarization by reformulation: Progress and prospects
Kathleen McKeown, Judith Klavans, Vasileios Hatzivassiloglou, Regina Barzilay, and Eleazar Eskin. 1999 · 1999
Earlier work this paper cites.
The pagerank citation ranking: Bringing order to the web
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 · 1999
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Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
Dragomir R Radev, Hongyan Jing, and Malgorzata Budzikowska. 2000 · 2000
Earlier work this paper cites.
Automatic evaluation of summaries using n-gram co-occurrence statistics
Chin-Yew Lin and Eduard Hovy. 2003 · 2003
Earlier work this paper cites.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
Earlier work this paper cites.
Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
Earlier work this paper cites.
A study of global inference algorithms in multi-document summarization
Ryan T. McDonald. 2007 · 2007
Earlier work this paper cites.
Towards more effective text summarization based on textual association networks
Yuhui Tao, Shuigeng Zhou, Wai Lam, and Jihong Guan. 2008 · 2008
Cited alongside, same era.
Multi-document summarization using cluster-based link analysis
Xiaojun Wan and Jianwu Yang. 2008 · 2008
Cited alongside, same era.
Integrating document clustering and multidocument summarization
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, and Yihong Gong. 2011 · 2011
Cited alongside, same era.
Multiple aspect summarization using integer linear programming
Kristian Woodsend and Mirella Lapata. 2012 · 2012
Cited alongside, same era.
Using supervised bigram-based ILP for extractive summarization
Chen Li, Xian Qian, and Yang Liu. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation
Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin. 2016 · 2016
Later among the works it cites.
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
Later among the works it cites.
Joint optimization of user-desired content in multi-document summaries by learning from user feedback
P. V. S. Avinesh and Christian M. Meyer. 2017 · 2017
Later among the works it cites.
Recent automatic text summarization techniques: a survey
Mahak Gambhir and Vishal Gupta. 2017 · 2017
Later among the works it cites.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Later among the works it cites.
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
A hierarchical neural autoencoder for paragraphs and documents
Jiwei Li, Minh-Thang Luong, and Dan Jurafsky. 2015 · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Cited alongside, same era.
Joint matrix factorization and manifold-ranking for topic-focused multi-document summarization
Jiwei Tan, Xiaojun Wan, and Jianguo Xiao. 2015 · 2015
Cited alongside, same era.
Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and M. Alexander Rush. 2016 · 2016
Cited alongside, same era.
Supervised learning of automatic pyramid for optimization-based multi-document summarization
Maxime Peyrard and Judith Eckle-Kohler. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Later among the works it cites.
Abstractive document summarization with a graph-based attentional neural model
Jiwei Tan, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
Later among the works it cites.
Recent advances in document summarization
Jin-ge Yao, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
Later among the works it cites.
Tal Baumel, Matan Eyal, and Michael Elhadad. 2018 · 2018
Closest in time.
Generating wikipedia by summarizing long sequences
Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
Closest in time.