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Sentence compression reduces the length of text by removing non-essential content while preserving important facts and grammaticality.
Deleter: Leveraging bert to perform unsupervised successive text compression
Tong Niu, Caiming Xiong, and Richard Socher. 2019 · 1909
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour. 1999 · 1999
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Hedge trimmer: A parse-and-trim approach to headline generation
Bonnie Dorr, David Zajic, and Richard Schwartz. 2003 · 2003
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Speech summarization: An approach through word extraction and a method for evaluation
Chiori Hori and Sadaoki Furui. 2004 · 2004
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Sentence compression for automated subtitling: A hybrid approach
Vincent Vandeghinste and Yi Pan. 2004 · 2004
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Bbn/umd at duc-2004: Topiary
David Zajic, Bonnie Dorr, and Richard Schwartz. 2004 · 2004
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Models for sentence compression: A comparison across domains, training requirements and evaluation measures
James Clarke and Mirella Lapata. 2006 · 2006
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Global inference for sentence compression an integer linear programming approach
James Clarke and Mirella Lapata. 2008 · 2008
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The epoch-greedy algorithm for multi-armed bandits with side information
John Langford and Tong Zhang. 2008 · 2008
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Single-document and multi-document summarization techniques for email threads using sentence compression
David M Zajic, Bonnie J Dorr, and Jimmy Lin. 2008 · 2008
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Learning to summarize from human feedback
Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano. 2020 · 2009
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Overcoming the lack of parallel data in sentence compression
Katja Filippova and Yasemin Altun. 2013 · 2013
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A survey of research on text simplification
Advaith Siddharthan. 2014 · 2014
Cited alongside, same era.
Multi-document abstractive summarization using ilp based multi-sentence compression
Siddhartha Banerjee, Prasenjit Mitra, and Kazunari Sugiyama. 2015 · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Cited alongside, same era.
Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom. 2016 · 2016
Cited alongside, same era.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Can syntax help? improving an LSTM-based sentence compression model for new domains
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, and Alexandros Potamianos. 2019 · 2019
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Better rewards yield better summaries: Learning to summarise without references
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, and Iryna Gurevych. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Answers unite! unsupervised metrics for reinforced summarization models
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, and Jacopo Staiano. 2019 · 2019
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Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, and Lejian Liao. 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.
Unsupervised sentence compression using denoising auto-encoders
Thibault Févry and Jason Phang. 2018 · 2018
Cited alongside, same era.
Newsroom: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 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.
Unsupervised abstractive meeting summarization with multi-sentence compression and budgeted submodular maximization
Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2018 · 2018
Cited alongside, same era.
Sentence compression with reinforcement learning
Liangguo Wang, Jing Jiang, and Lejian Liao. 2018 · 2018
Cited alongside, same era.
BottleSum: Unsupervised and self-supervised sentence summarization using the information bottleneck principle
Peter West, Ari Holtzman, Jan Buys, and Yejin Choi. 2019 · 2019
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Simple unsupervised summarization by contextual matching
Jiawei Zhou and Alexander M Rush. 2019 · 2019
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The summary loop: Learning to write abstractive summaries without examples
Philippe Laban, Andrew Hsi, John Canny, and Marti A Hearst. 2020 · 2020
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Unsupervised text generation by learning from search
Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael Lyu, and Irwin King. 2020 · 2020
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SCAR: Sentence compression using autoencoders for reconstruction
Chanakya Malireddy, Tirth Maniar, and Manish Shrivastava. 2020 · 2020
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Discrete optimization for unsupervised sentence summarization with word-level extraction
Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, and Katja Markert. 2020 · 2020
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Keep it simple: Unsupervised simplification of multi-paragraph text
Philippe Laban, Tobias Schnabel, Paul Bennett, and Marti A. Hearst. 2021 · 2021
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