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Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions.
HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Automatic summarising: Factors and directions
Karen Sparck Jones. 1998 · 1998
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Overview of duc 2005
Hoa Trang Dang. 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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A joint model of text and aspect ratings for sentiment summarization
Ivan Titov and Ryan McDonald. 2008 · 2008
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Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization
Furu Wei, Wenjie Li, Q. Lu, and Y. He. 2008 · 2008
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A scalable global model for summarization
Dan Gillick and Benoit Favre. 2009 · 2009
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Applying regression models to query-focused multi-document summarization
Ouyang You, Wenjie Li, Sujian Li, and Qin Lu. 2011 · 2011
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Ctrlsum: Towards generic controllable text summarization
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, and Caiming Xiong. 2020 · 2012
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Multiple aspect summarization using integer linear programming
Kristian Woodsend and Mirella Lapata. 2012 · 2012
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Abstractive query focused summarization with query-free resources
Yumo Xu and Mirella Lapata. 2020a · 2012
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Query-chain focused summarization
Tal Baumel, Raphael Cohen, and Michael Elhadad. 2014 · 2014
Cited alongside, same era.
Hierarchical summarization: Scaling up multi-document summarization
Janara Christensen, Stephen Soderland, Gagan Bansal, and Mausam. 2014 · 2014
Cited alongside, same era.
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomás Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Learning to generate product reviews from attributes
Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, and Ke Xu. 2017 · 2017
Cited alongside, same era.
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.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 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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ELI5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
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Inducing document structure for aspect-based summarization
Lea Frermann and Alexandre Klementiev. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Cited alongside, same era.
Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 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.
Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
Stefanos Angelidis and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Daniel Matthew Cer, Yinfei Yang, Sheng yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, C. Tar, Yun-Hsuan Sung, B. Strope, and R. Kurzweil. 2018 · 2018
Cited alongside, same era.
Generating topic-oriented summaries using neural attention
Kundan Krishna and Balaji Vasan Srinivasan. 2018 · 2018
Cited alongside, same era.
Don’t give me the details, just the summary! Topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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On faithfulness and factuality in abstractive summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan Thomas Mcdonald. 2020 · 2020
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Summarizing text on any aspects: A knowledge-informed weakly-supervised approach
Bowen Tan, Lianhui Qin, Eric Xing, and Zhiting Hu. 2020 · 2020
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Coarse-to-fine query focused multi-document summarization
Yumo Xu and Mirella Lapata. 2020b · 2020
Later among the works it cites.
Extractive opinion summarization in quantized transformer spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, and Mirella Lapata. 2021 · 2021
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Extending multi-document summarization evaluation to the interactive setting
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, and Ido Dagan. 2021 · 2021
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