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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 1910
Earlier work this paper cites.
Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 1910
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Overview of the tac 2008 update summarization task
Hoa Trang Dang and Karolina Owczarzak · 2008
Earlier work this paper cites.
Scientific paper summarization using citation summary networks
Vahed Qazvinian and Dragomir R. Radev · 2008
Earlier work this paper cites.
Detecting novelty in the context of progressive summarization
Praveen Bysani · 2010
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Nouveau-ROUGE: A novelty metric for update summarization
John M. Conroy, Judith D. Schlesinger, and Dianne P. O’Leary · 2011
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Dualsum: a topic-model based approach for update summarization
Jean-Yves Delort and Enrique Alfonseca · 2012
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Scientific article summarization using citation-context and article’s discourse structure
Arman Cohan and Nazli Goharian · 2015
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Timeline summarization from social media with life cycle models
Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, and Yan Liu · 2016
Earlier work this paper cites.
Multi-task sequence to sequence learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser · 2016
Earlier work this paper cites.
A supervised approach to extractive summarisation of scientific papers
Ed Collins, Isabelle Augenstein, and Sebastian Riedel · 2017
Earlier work this paper cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning · 2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli · 2018
Cited alongside, same era.
Soft layer-specific multi-task summarization with entailment and question generation
Han Guo, Ramakanth Pasunuru, and Mohit Bansal · 2018
Cited alongside, same era.
A temporally sensitive submodularity framework for timeline summarization
Sebastian Martschat and Katja Markert · 2018
Cited alongside, same era.
A deep reinforced model for abstractive summarization
ScisummNet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman, and Dragomir Radev · 2019
Later among the works it cites.
Pegasus: Pre-training with extracted gap-sentences for abstractive summarization, 2019
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu · 2019
Later among the works it cites.
Summeval: Re-evaluating summarization evaluation
Alexander R Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev · 2020
Closest in time.
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
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S2ORC: The semantic scholar open research corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Romain Paulus, Caiming Xiong, and Richard Socher · 2018
Cited alongside, same era.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
Cited alongside, same era.
CTRL - A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav Varshney, Caiming Xiong, and Richard Socher · 2019
Cited alongside, same era.
TalkSumm: A dataset and scalable annotation method for scientific paper summarization based on conference talks
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, and David Konopnicki · 2019
Cited alongside, same era.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata · 2019
Cited alongside, same era.
A simple theoretical model of importance for summarization
Maxime Peyrard · 2019
Cited alongside, same era.
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, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2019
Cited alongside, same era.
Closest in time.
Cord-19: The covid-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, et al · 2020
Closest in time.
Big bird: Transformers for longer sequences, 2020
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed · 2020
Closest in time.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi · 2020
Closest in time.
Seal: Segment-wise extractive-abstractive long-form text summarization
Yao Zhao, Mohammad Saleh, and Peter J Liu · 2020
Closest in time.
Best-worst scaling more reliable than rating scales: A case study on sentiment intensity annotation
Svetlana Kiritchenko and Saif Mohammad · 2074
Closest in time.
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 · 2097
Closest in time.