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Automated text simplification aims to produce simple versions of complex texts.
Free-marginal multirater kappa (multirater k [free]): An alternative to fleiss’ fixed-marginal multirater kappa
Justus J Randolph. 2005 · 2005
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An lcs-based string metric
Daniel Bakkelund. 2009 · 2009
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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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Low health literacy and health outcomes: an updated systematic review
Nancy D Berkman, Stacey L Sheridan, Katrina E Donahue, David J Halpern, and Karen Crotty. 2011 · 2011
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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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Automated lay language summarization of biomedical scientific reviews
Yue Guo, Weijian Qiu, Yizhong Wang, and Trevor A. Cohen. 2020 · 2012
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Health literacy: the solid facts
Ilona Kickbusch, Jürgen M Pelikan, Franklin Apfel, and Agis D Tsouros. 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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Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
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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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MASSAlign: Alignment and annotation of comparable documents
Gustavo Paetzold, Fernando Alva-Manchego, and Lucia Specia. 2017 · 2017
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Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
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Clear–simple corpus for medical french
Natalia Grabar and Rémi Cardon. 2018 · 2018
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Improving consumer understanding of medical text: Development and validation of a new subsimplify algorithm to automatically generate term explanations in english and spanish
Nicholas Kloehn, Gondy Leroy, David Kauchak, Yang Gu, Sonia Colina, Nicole P Yuan, and Debra Revere. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Controlling text complexity in neural machine translation
Sweta Agrawal and Marine Carpuat. 2019 · 2019
Cited alongside, same era.
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
Cited alongside, same era.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Vecalign: Improved sentence alignment in linear time and space
Brian Thompson and Philipp Koehn. 2019 · 2019
Cited alongside, same era.
Evaluating neural text simplification in the medical domain
Laurens Van den Bercken, Robert-Jan Sips, and Christoph Lofi. 2019 · 2019
Cited alongside, same era.
Design, development and validation of a system for automatic help to medical text understanding
Marco Alfano, Biagio Lenzitti, Giosuè Lo Bosco, Cinzia Muriana, Tommaso Piazza, and Giovanni Vizzini. 2020 · 2020
XTREME-R: Towards more challenging and nuanced multilingual evaluation
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, and Melvin Johnson. 2021 · 2021
Later among the works it cites.
Elaborative simplification: Content addition and explanation generation in text simplification
Neha Srikanth and Junyi Jessy Li. 2021 · 2021
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Flesch-kincaid is not a text simplification evaluation metric
Teerapaun Tanprasert and David Kauchak. 2021 · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
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Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, and Kyle Lo. 2022 · 2022
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Cited alongside, same era.
Data-driven sentence simplification: Survey and benchmark
Fernando Alva-Manchego, Carolina Scarton, and Lucia Specia. 2020 · 2020
Cited alongside, same era.
Expertise style transfer: A new task towards better communication between experts and laymen
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, and Tat-Seng Chua. 2020 · 2020
Cited alongside, same era.
French biomedical text simplification: When small and precise helps
Rémi Cardon and Natalia Grabar. 2020 · 2020
Cited alongside, same era.
Neural CRF model for sentence alignment in text simplification
Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, and Wei Xu. 2020 · 2020
Cited alongside, same era.
What is the meaning of health literacy? a systematic review and qualitative synthesis
Chenxi Liu, Dan Wang, Chaojie Liu, Junnan Jiang, Xuemei Wang, Haihong Chen, Xin Ju, and Xinping Zhang. 2020 · 2020
Cited alongside, same era.
MLSUM: The multilingual summarization corpus
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, and Jacopo Staiano. 2020 · 2020
Cited alongside, same era.
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022
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Evaluating factuality in text simplification
Ashwin Devaraj, William Sheffield, Byron Wallace, and Junyi Jessy Li. 2022 · 2022
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Cells: A parallel corpus for biomedical lay language generation
Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, and Trevor Cohen. 2022 · 2022
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MUSS: Multilingual unsupervised sentence simplification by mining paraphrases
Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, and Benoît Sagot. 2022 · 2022
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Medical text simplification using reinforcement learning (teslea): Deep learning–based text simplification approach
Atharva Phatak, David W Savage, Robert Ohle, Jonathan Smith, and Vijay Mago. 2022 · 2022
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Patient-friendly clinical notes: Towards a new text simplification dataset
Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus, and Christin Seifert. 2022 · 2022
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Overcoming catastrophic forgetting in zero-shot cross-lingual generation
Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, and Noah Constant. 2022 · 2022
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Med-easi: Finely annotated dataset and models for controllable simplification of medical texts
Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, and Qian Yang. 2023 · 2023
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About translation at cochrane
Juliane Ried. 2023 · 2023
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Revisiting non-English text simplification: A unified multilingual benchmark
Michael Ryan, Tarek Naous, and Wei Xu. 2023 · 2023
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Summarizing, simplifying, and synthesizing medical evidence using GPT-3 (with varying success)
Chantal Shaib, Millicent Li, Sebastian Joseph, Iain Marshall, Junyi Jessy Li, and Byron Wallace. 2023 · 2023
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