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This work presents Keep it Simple (KiS), a new approach to unsupervised text simplification which learns to balance a reward across three properties: fluency, salience and simplicity.
Roberta: A robustly optimized bert pretraining approach
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Wordnet-based lexical simplification of a document
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Sentence simplification by monolingual machine translation
Sander Wubben, Antal van den Bosch, and Emiel Krahmer. 2012 · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Problems in current text simplification research: New data can help
W. Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
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Yats: yet another text simplifier
Daniel Ferrés, Montserrat Marimon, Horacio Saggion, et al. 2016 · 2016
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The lexile framework for reading: An introduction to what it is and how to use it
Malbert Smith, J. Turner, Eleanor E. Sanford-Moore, and Heather H. Koons. 2016 · 2016
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Optimizing statistical machine translation for text simplification
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, and Chris Callison-Burch. 2016 · 2016
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Self-critical sequence training for image captioning
Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017
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Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
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Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
What have we achieved on text summarization?
Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, and Yue Zhang. 2020 · 2020
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Librarians find creative ways to serve kids when buildings are closed for browsing
Haben Kelati. 2020 · 2020
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryscinski, Bryan McCann, Caiming Xiong, and Richard Socher. 2020 · 2020
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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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Controllable sentence simplification
Louis Martin, Éric Villemonte de la Clergerie, Benoît Sagot, and Antoine Bordes. 2020 · 2020
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Lexical simplification with pretrained encoders
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, and Xindong Wu. 2020 · 2020
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Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
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Dynamic multi-level multi-task learning for sentence simplification
Han Guo, Ramakanth Pasunuru, and Mohit Bansal. 2018 · 2018
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Sentence-level fluency evaluation: References help, but can be spared!
Katharina Kann, Sascha Rothe, and Katja Filippova. 2018 · 2018
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Ensure the correctness of the summary: Incorporate entailment knowledge into abstractive sentence summarization
Haoran Li, Junnan Zhu, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
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Luminosoinsight / wordfreq: v2.2
Robyn Speer, Joshua Chin, Andrew Lin, Sara Jewett, and Lance Nathan. 2018 · 2018
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Editnts: An neural programmer-interpreter model for sentence simplification through explicit editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, and Jackie Chi Kit Cheung. 2019 · 2019
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Masked language model scoring
Julian Salazar, Davis Liang, Toan Q Nguyen, and Katrin Kirchhoff. 2020 · 2020
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Seq2edits: Sequence transduction using span-level edit operations
Felix Stahlberg and Shankar Kumar. 2020 · 2020
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Asking and answering questions to evaluate the factual consistency of summaries
Alex Wang, Kyunghyun Cho, and Mike Lewis. 2020 · 2020
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Optimizing the factual correctness of a summary: A study of summarizing radiology reports
Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D Manning, and Curtis Langlotz. 2020 · 2020
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Discourse level factors for sentence deletion in text simplification
Yang Zhong, Chao Jiang, Wei Xu, and Junyi Jessy Li. 2020 · 2020
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Comparison of methods for evaluating complexity of simplified texts among deaf and hard-of-hearing adults at different literacy levels
Oliver Alonzo, Jessica Trussell, Becca Dingman, and Matt Huenerfauth. 2021 · 2021
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Unsupervised neural text simplification
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, and Karthik Sankaranarayanan. 2019 · 2068
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