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Extractive text summarization aims at extracting the most representative sentences from a given document as its summary.
Verbal protocols of reading: The nature of constructively responsive reading
M. Pressley and Peter P. Afflerbach. 1995 · 1995
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The pagerank citation ranking: Bringing order to the web
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 · 1999
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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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MEAD - a platform for multidocument multilingual text summarization
Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Drabek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, and Zhu Zhang. 2004 · 2004
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Lexrank: Graph-based lexical centrality as salience in text summarization
Dragomir R. Radev. 2004 · 2004
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Semantic similarity methods in wordnet and their application to information retrieval on the web
Giannis Varelas, Epimenidis Voutsakis, Paraskevi Raftopoulou, Euripides GM Petrakis, and Evangelos E Milios. 2005 · 2005
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Scientific paper summarization using citation summary networks
Vahed Qazvinian and Dragomir R Radev. 2008 · 2008
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Automatic summarization
Ani Nenkova and Kathleen McKeown. 2011 · 2011
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Mathematical formulation of multilayer networks
Manlio De Domenico, Albert Solé-Ribalta, Emanuele Cozzo, Mikko Kivelä, Yamir Moreno, Mason A Porter, Sergio Gómez, and Alex Arenas. 2013 · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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The stanford corenlp natural language processing toolkit
Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 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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Short text similarity with word embeddings
Tom Kenter and Maarten De Rijke. 2015 · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
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Deep semantic role labeling: What works and what’s next
Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
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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
Cited alongside, same era.
Show, describe and conclude: On exploiting the structure information of chest x-ray reports
Baoyu Jing, Zeya Wang, and Eric Xing. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019b · 2019
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Reading like HER: Human reading inspired extractive summarization
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, and Qing He. 2019 · 2019
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Jointly extracting and compressing documents with summary state representations
Alfonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André FT Martins, and Shay B Cohen. 2019 · 2019
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Neural extractive text summarization with syntactic compression
Jiacheng Xu and Greg Durrett. 2019 · 2019
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Searching for effective neural extractive summarization: What works and what’s next
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
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.
Banditsum: Extractive summarization as a contextual bandit
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, and Jackie Chi Kit Cheung. 2018 · 2018
Cited alongside, same era.
Cross-domain labeled lda for cross-domain text classification
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, and Cheng Niu. 2018 · 2018
Cited alongside, same era.
Deeper insights into graph convolutional networks for semi-supervised learning
Qimai Li, Zhichao Han, and Xiao-Ming Wu. 2018 · 2018
Cited alongside, same era.
Ranking sentences for extractive summarization with reinforcement learning
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
Later among the works it cites.
Neural extractive summarization with hierarchical attentive heterogeneous graph network
Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, and Shi Wang. 2020 · 2020
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Unsupervised attributed multiplex network embedding
Chanyoung Park, Donghyun Kim, Jiawei Han, and Hwanjo Yu. 2020 · 2020
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Discourse-aware neural extractive text summarization
Jiacheng Xu, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020 · 2020
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Hdmi: High-order deep multiplex infomax
Baoyu Jing, Chanyoung Park, and Hanghang Tong. 2021a · 2021
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Network of tensor time series
Baoyu Jing, Hanghang Tong, and Yada Zhu. 2021b · 2021
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Cross-lingual knowledge transferring by structural correspondence and space transfer
Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, and Hui Zhang. 2021 · 2021
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Dynamic knowledge graph alignment
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, and Hanghang Tong. 2021 · 2021
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Heterogeneous graph attention network
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S Yu. 2019 · 2032
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