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Sequence-to-sequence models have recently gained the state of the art performance in summarization.
News and its communicative quality: The inverted pyramid—when and why did it appear?
Horst Po¨ ttker. 2003 · 2003
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The effects of human variation in duc summarization evaluation
Donna Harman and Paul Over. 2004 · 2004
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Chin-Yew Lin. 2004 · 2004
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Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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The new york times annotated corpus
Evan Sandhaus. 2008 · 2008
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Courtney Napoles, Matthew Gormley, and Benjamin Van Durme. 2012 · 2012
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Ça glar Gulçehre, and Bing Xiang. 2016 · 2016
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
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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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Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. 2016 · 2016
Cited alongside, same era.