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Unsupervised summarization methods have achieved remarkable results by incorporating representations from pre-trained language models.
Adaptive method of automatic abstracting and indexing
E. F. Skorochod’ko. 1971 · 1971
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Text tiling: Segmenting text into multi-paragraph subtopic passages
Marti A. Hearst. 1997 · 1997
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The anatomy of a large-scale hypertextual web search engine
Sergey Brin and Lawrence Page. 1998 · 1998
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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
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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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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Explorations in automatic book summarization
Rada Mihalcea and Hakan Ceylan. 2007 · 2007
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Scientific paper summarization using citation summary networks
Vahed Qazvinian and Dragomir R. Radev. 2008 · 2008
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An exploration of document impact on graph-based multi-document summarization
Xiaojun Wan. 2008 · 2008
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
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Generating long sequences with sparse transformers
Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. 2019 · 2019
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MeanSum: A neural model for unsupervised multi-document abstractive summarization
Eric Chu and Peter Liu. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019b · 2019
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BillSum: A corpus for automatic summarization of US legislation
Anastassia Kornilova and Vladimir Eidelman. 2019 · 2019
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Scoring sentence singletons and pairs for abstractive summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, and Fei Liu. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
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BIGPATENT: A large-scale dataset for abstractive and coherent summarization
Eva Sharma, Chen Li, and Lu Wang. 2019 · 2019
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Neural extractive text summarization with syntactic compression
Jiacheng Xu and Greg Durrett. 2019 · 2019
TED: A pretrained unsupervised summarization model with theme modeling and denoising
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, and Eric Darve. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Extractive summarization as text matching
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, and Xuanjing Huang. 2020 · 2020
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A hierarchical network for abstractive meeting summarization with cross-domain pretraining
Chenguang Zhu, Ruochen Xu, Michael Zeng, and Xuedong Huang. 2020 · 2020
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Sentence centrality revisited for unsupervised summarization
Hao Zheng and Mirella Lapata. 2019 · 2019
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Simple unsupervised summarization by contextual matching
Jiawei Zhou and Alexander Rush. 2019 · 2019
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2020
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Reformer: The efficient transformer
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Leveraging graph to improve abstractive multi-document summarization
Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, and Junping Du. 2020 · 2020
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Kazuki Akiyama, Akihiro Tamura, and Takashi Ninomiya. 2021 · 2021
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Discourse-aware unsupervised summarization for long scientific documents
Yue Dong, Andrei Mircea, and Jackie Chi Kit Cheung. 2021 · 2021
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Globalizing BERT-based transformer architectures for long document summarization
Quentin Grail, Julien Perez, and Eric Gaussier. 2021 · 2021
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Efficient attentions for long document summarization
Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, and Lu Wang. 2021 · 2021
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Improving unsupervised extractive summarization with facet-aware modeling
Xinnian Liang, Shuangzhi Wu, Mu Li, and Zhoujun Li. 2021 · 2021
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RefSum: Refactoring neural summarization
Yixin Liu, Zi-Yi Dou, and Pengfei Liu. 2021b · 2021
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SimCLS: A simple framework for contrastive learning of abstractive summarization
Yixin Liu and Pengfei Liu. 2021 · 2021
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Long range arena : A benchmark for efficient transformers
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, and Donald Metzler. 2021 · 2021
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Improving unsupervised extractive summarization by jointly modeling facet and redundancy
Xinnian Liang, Jing Li, Shuangzhi Wu, Mu Li, and Zhoujun Li. 2022 · 2022
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