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Text summarization aims to extract essential information from a piece of text and transform the text into a concise version.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 1901
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Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, and Alexandros Potamianos. 2019 · 1904
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Unified language model pre-training for natural language understanding and generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019 · 1905
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Embedding imputation with grounded language information
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, and Eric Darve. 2019 · 1906
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Sentence centrality revisited for unsupervised summarization
Hao Zheng and Mirella Lapata. 2019 · 1906
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On the variance of the adaptive learning rate and beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Jiawei Han. 2019a · 1908
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Text Summarization with Pretrained Encoders
Yang Liu and Mirella Lapata. 2019 · 1908
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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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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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Mind the facts: Knowledge-boosted coherent abstractive text summarization
Beliz Gunel, Chenguang Zhu, Michael Zeng, and Xuedong Huang. 2020 · 2006
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
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Addressing the rare word problem in neural machine translation
Minh-Thang Luong, Ilya Sutskever, Quoc V Le, Oriol Vinyals, and Wojciech Zaremba. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 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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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2016 · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Unsupervised Sentence Compression using Denoising Auto-Encoders
Thibault Févry and Jason Phang. 2018 · 2018
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Taku Kudo and John Richardson. 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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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017 · 2017
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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
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Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 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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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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Meansum: A neural model for unsupervised multi-document abstractive summarization
Eric Chu and Peter J Liu. 2018 · 2018
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Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Learning to encode text as human-readable summaries using generative adversarial networks
Yau-Shian Wang and Hung-Yi Lee. 2018 · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, and Taylor Berg-Kirkpatrick. 2018 · 2018
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Sdnet: Contextualized attention-based deep network for conversational question answering
Chenguang Zhu, Michael Zeng, and Xuedong Huang. 2018 · 2018
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Single document summarization as tree induction
Yang Liu, Ivan Titov, and Mirella Lapata. 2019b · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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