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This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries.
Abstractive summarization of spoken and written conversation
Prakhar Ganesh and Saket Dingliwal. 2019 · 1902
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Pretraining-based natural language generation for text summarization
Haoyu Zhang, Jianjun Xu, and Ji Wang. 2019 · 1902
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Sample efficient text summarization using a single pre-trained transformer
Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, and Lukasz Kaiser. 2019 · 1905
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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The ami meeting corpus
I. McCowan, J. Carletta, W. Kraaij, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, W. Post, Dennis Reidsma, and P. Wellner. 2005 · 2005
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Interrater reliability: the kappa statistic
Mary L. McHugh. 2012 · 2012
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Abstractive summarization of spoken and written conversations based on phrasal queries
Yashar Mehdad, Giuseppe Carenini, and Raymond T. Ng. 2014 · 2014
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Abstractive meeting summarization using dependency graph fusion
Siddhartha Banerjee, Prasenjit Mitra, and Kazunari Sugiyama. 2015 · 2015
Earlier work this paper cites.
Teaching machines to read and comprehend
Karl M. Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Using summarization to discover argument facets in online idealogical dialog
Amita Misra, Pranav Anand, Jean Fox Tree, and Marilyn Walker. 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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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M. Rush. 2016 · 2016
Cited alongside, same era.
Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
Later among the works it cites.
Bottom-up abstractive summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander Rush. 2018 · 2018
Later among the works it cites.
Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts
Chih-Wen Goo and Yun-Nung Chen. 2018 · 2018
Later among the works it cites.
Data-driven summarization of scientific articles
Nikola Nikolov, Michael Pfeiffer, and Richard Hahnloser. 2018 · 2018
Later among the works it cites.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero Nogueira dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
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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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Pay less attention with lightweight and dynamic convolutions
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