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We consider the problem of learning to simplify medical texts.
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Chin-Yew Lin. 2004 · 2004
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SIMTEXT: Text simplification of medical literature
Jerwin Jan S Damay, Gerard Jaime D Lojico, Kimberly Amanda L Lu, D Tarantan, and E Ong. 2006 · 2006
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Text simplification for language learners: a corpus analysis
Sarah E Petersen and Mari Ostendorf. 2007 · 2007
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A semantic and syntactic text simplification tool for health content
Sasikiran Kandula, Dorothy Curtis, and Qing Zeng-Treitler. 2010 · 2010
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Learning to predict readability using diverse linguistic features
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Elaborative simplification: Content addition and explanation generation in text simplification
Neha Srikanth and Junyi Jessy Li. 2020 · 2010
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A monolingual tree-based translation model for sentence simplification
Zhemin Zhu, Delphine Bernhard, and Iryna Gurevych. 2010 · 2010
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Simple English Wikipedia: a new text simplification task
William Coster and David Kauchak. 2011 · 2011
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Learning to simplify sentences with quasi-synchronous grammar and integer programming
Kristian Woodsend and Mirella Lapata. 2011 · 2011
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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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Standards for the reporting of plain language summaries in new cochrane intervention reviews (pleacs)
Cochrane. 2013 · 2013
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Health literacy: the solid facts
World Health Organization. 2013 · 2013
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Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language
Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, and Maria Kvist. 2014 · 2014
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A survey of research on text simplification
Advaith Siddharthan. 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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Junyi Jessy Li and Ani Nenkova. 2015 · 2015
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Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
Onestopenglish corpus: A new corpus for automatic readability assessment and text simplification
Sowmya Vajjala and Ivana Lučić. 2018 · 2018
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Counteracting health misinformation: a role for medical journals?
Paul W Armstrong and C David Naylor. 2019 · 2019
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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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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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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Cited alongside, same era.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Cochrane plain language summaries are highly heterogeneous with low adherence to the standards
Antonia Jelicic Kadic, Mahir Fidahic, Milan Vujcic, Frano Saric, Ivana Propadalo, Ivana Marelja, Svjetlana Dosenovic, and Livia Puljak. 2016 · 2016
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Managing linguistic and terminological variation in a medical dialogue system
Leonardo Campillos Llanos, Dhouha Bouamor, Pierre Zweigenbaum, and Sophie Rosset. 2016 · 2016
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Text simplification using neural machine translation
Tong Wang, Ping Chen, John Rochford, and Jipeng Qiang. 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
Cited alongside, same era.
How to survive the medical misinformation mess
John PA Ioannidis, Michael E Stuart, Shannon Brownlee, and Sheri A Strite. 2017 · 2017
Cited alongside, same era.
Towards a linguistic definition of ‘simplified medical english’: Applying textometric analysis to cochrane medical abstracts and their plain language versions
Chris Gledhill, Hanna Martikainen, Alexandra Mestivier, and Maria Zimina. 2019 · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
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What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
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Languages for different health information readers: multitrait-multimethod content analysis of cochrane systematic reviews textual summary formats
Jasna Karačić, Pierpaolo Dondio, Ivan Buljan, Darko Hren, and Ana Marušić. 2019 · 2019
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Complexity-weighted loss and diverse reranking for sentence simplification
Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, and Chris Callison-Burch. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Evaluating neural text simplification in the medical domain
Laurens Van den Bercken, Robert-Jan Sips, and Christoph Lofi. 2019 · 2019
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Neural text generation with unlikelihood training
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, and Jason Weston. 2019 · 2019
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Data-driven sentence simplification: Survey and benchmark
Fernando Alva-Manchego, Carolina Scarton, and Lucia Specia. 2020 · 2020
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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 · 2020
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Don’t say that! making inconsistent dialogue unlikely with unlikelihood training
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, and Jason Weston. 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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Health online 2013
Susannah Fox and Maeve Duggan. 2013 · 2021
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