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Recently BERT has been adopted for document encoding in state-of-the-art text summarization models.
Exploring the limits of transfer learning with a unified text-to-text transformer
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Building a discourse-tagged corpus in the framework of rhetorical structure theory
Lynn Carlson, Daniel Marcu, and Mary Ellen Okurovsky. 2001 · 2001
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Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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The penn discourse treebank
Eleni Miltsakaki, Rashmi Prasad, Aravind Joshi, and Bonnie Webber. 2004 · 2004
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Representing discourse coherence: A corpus-based study
Florian Wolf and Edward Gibson. 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 indicators for content selection in summarization
Annie Louis, Aravind Joshi, and Ani Nenkova. 2010 · 2010
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Automatic summarization
Ani Nenkova, Kathleen McKeown, et al. 2011 · 2011
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Single-document summarization as a tree knapsack problem
Tsutomu Hirao, Yasuhisa Yoshida, Masaaki Nishino, Norihito Yasuda, and Masaaki Nagata. 2013 · 2013
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Representation learning for text-level discourse parsing
Yangfeng Ji and Jacob Eisenstein. 2014 · 2014
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The Stanford CoreNLP Natural Language Processing Toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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Dependency-based discourse parser for single-document summarization
Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, and Masaaki Nagata. 2014 · 2014
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Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 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 summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
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The role of discourse units in near-extractive summarization
Junyi Jessy Li, Kapil Thadani, and Amanda Stent. 2016 · 2016
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Cached long short-term memory neural networks for document-level sentiment classification
Jiacheng Xu, Danlu Chen, Xipeng Qiu, and Xuanjing Huang. 2016 · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
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End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
Structured neural summarization
Patrick Fernandes, Miltiadis Allamanis, and Marc Brockschmidt. 2018 · 2018
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AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
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Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander Rush. 2018 · 2018
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Content selection in deep learning models of summarization
Chris Kedzie, Kathleen McKeown, and Hal Daume III. 2018 · 2018
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Ranking sentences for extractive summarization with reinforcement learning
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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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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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, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Recent advances in document summarization
Jin-ge Yao, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
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Graph-based neural multi-document summarization
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, and Dragomir Radev. 2017 · 2017
Cited alongside, same era.
Yizhong Wang, Sujian Li, and Jingfeng Yang. 2018 · 2018
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Neural Latent Extractive Document Summarization
Xingxing Zhang, Mirella Lapata, Furu Wei, and Ming Zhou. 2018 · 2018
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Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, and Tiejun Zhao. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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EditNTS: An neural programmer-interpreter model for sentence simplification through explicit editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, and Jackie Chi Kit Cheung. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
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An entity-driven framework for abstractive summarization
Eva Sharma, Luyang Huang, Zhe Hu, and Lu Wang. 2019 · 2019
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Deep graph library: Towards efficient and scalable deep learning on graphs
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J Smola, and Zheng Zhang. 2019 · 2019
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Neural extractive text summarization with syntactic compression
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HIBERT: Document level pre-training of hierarchical bidirectional transformers for document summarization
Xingxing Zhang, Furu Wei, and Ming Zhou. 2019 · 2019
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Searching for effective neural extractive summarization: What works and what’s next
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
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