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Automated simplification models aim to make input texts more readable.
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Practical simplification of english newspaper text to assist aphasic readers
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SIMTEXT: Text simplification of medical literature
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Text simplification for children
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Frequent words improve readability and short words improve understandability for people with dyslexia
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Problems in current text simplification research: New data can help
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Improving the annotation of sentence specificity
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Optimizing statistical machine translation for text simplification
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Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
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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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Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Evaluating the factual consistency of abstractive text summarization
Wojciech Kryscinski, Bryan McCann, Caiming Xiong, and Richard Socher. 2020a · 2020
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryscinski, Bryan McCann, Caiming Xiong, and Richard Socher. 2020b · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Controllable sentence simplification
Louis Martin, Éric de la Clergerie, Benoît Sagot, and Antoine Bordes. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
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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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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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Neural text summarization: A critical evaluation
Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 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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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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On the helpfulness of document context to sentence simplification
Renliang Sun, Zhe Lin, and Xiaojun Wan. 2020 · 2020
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Fact-based content weighting for evaluating abstractive summarisation
Xinnuo Xu, Ondřej Dušek, Jingyi Li, Verena Rieser, and Ioannis Konstas. 2020 · 2020
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Semi-supervised text simplification with back-translation and asymmetric denoising autoencoders
Yanbin Zhao, Lu Chen, Zhi Chen, and Kai Yu. 2020 · 2020
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Decontextualization: Making sentences stand-alone
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, and Michael Collins. 2021 · 2021
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Paragraph-level simplification of medical texts
Ashwin Devaraj, Iain Marshall, Byron Wallace, and Junyi Jessy Li. 2021 · 2021
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Annotating and modeling fine-grained factuality in summarization
Tanya Goyal and Greg Durrett. 2021 · 2021
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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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Controllable text simplification with explicit paraphrasing
Mounica Maddela, Fernando Alva-Manchego, and Wei Xu. 2021 · 2021
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Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov. 2021 · 2021
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Byron C. Wallace, Sayantan Saha, Frank Soboczenski, and Iain J. Marshall. 2021 · 2021
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