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We present the first sentence simplification model that learns explicit edit operations (ADD, DELETE, and KEEP) via a neural programmer-interpreter approach.
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Exploring neural text simplification models
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Lexical simplification with neural ranking
Gustavo Paetzold 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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A constrained sequence-to-sequence neural model for sentence simplification
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
Neural programmer-interpreters
Scott Reed and Nando de Freitas. 2016 · 2016
Cited alongside, same era.
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.
Learning how to simplify from explicit labeling of complex-simplified text pairs
Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, and Lucia Specia. 2017 · 2017
Cited alongside, same era.
Lig-cristal submission for the wmt 2017 automatic post-editing task
Alexandre Bérard, Laurent Besacier, and Olivier Pietquin. 2017 · 2017
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Simple and effective text simplification using semantic and neural methods
Elior Sulem, Omri Abend, and Ari Rappoport. 2018b
Cited in the paper.
Yaoyuan Zhang, Zhenxu Ye, Yansong Feng, Dongyan Zhao, and Rui Yan. 2017 · 2017
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Bleu is not suitable for the evaluation of text simplification
Elior Sulem, Omri Abend, and Ari Rappoport. 2018a · 2018
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Automatic post-editing of machine translation: A neural programmer-interpreter approach
Thuy-Trang Vu and Gholamreza Haffari. 2018 · 2018
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Sentence simplification with memory-augmented neural networks
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, and Hong Yu. 2018 · 2018
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Integrating transformer and paraphrase rules for sentence simplification
Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono, and Bambang Parmanto. 2018 · 2018
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