Fetching the paper…
Reading the bibliography…
Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning.
Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
J Peter Kincaid, Robert P Fishburne Jr, Richard L Rogers, and Brad S Chissom · 1975
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
Facilita: reading assistance for low-literacy readers
Willian Massami Watanabe, Arnaldo Candido Junior, Vinícius Rodriguez Uzêda, Renata Pontin de Mattos Fortes, Thiago Alexandre Salgueiro Pardo, and Sandra Maria Aluísio · 2009
Earlier work this paper cites.
A monolingual tree-based translation model for sentence simplification
Zhemin Zhu, Delphine Bernhard, and Iryna Gurevych · 2010
Earlier work this paper cites.
Learning to simplify sentences with quasi-synchronous grammar and integer programming
Kristian Woodsend and Mirella Lapata · 2011
Earlier work this paper cites.
Sentence simplification by monolingual machine translation
Sander Wubben, Antal van den Bosch, and Emiel Krahmer · 2012
Earlier work this paper cites.
Dyswebxia 2.0! more accessible text for people with dyslexia
Luz Rello, Clara Bayarri, Azuki Górriz, Ricardo Baeza-Yates, Saurabh Gupta, Gaurang Kanvinde, Horacio Saggion, Stefan Bott, Roberto Carlini, and Vasile Topac · 2013
Earlier work this paper cites.
An evaluation of syntactic simplification rules for people with autism
Richard Evans, Constantin Orăsan, and Iustin Dornescu · 2014
Earlier work this paper cites.
Making it simplext: Implementation and evaluation of a text simplification system for spanish
Horacio Saggion, Sanja Štajner, Stefan Bott, Simon Mille, Luz Rello, and Biljana Drndarevic · 2015
Earlier work this paper cites.
Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles · 2015
Earlier work this paper cites.
Unsupervised sentence simplification using deep semantics
Shashi Narayan and Claire Gardent · 2016
Earlier work this paper cites.
Text simplification using neural machine translation
Tong Wang, Ping Chen, John Rochford, and Jipeng Qiang · 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
Cited alongside, same era.
Exploring neural text simplification models
Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, and Liviu P. Dinu · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata · 2017
Cited alongside, same era.
BLEU is not suitable for the evaluation of text simplification
Elior Sulem, Omri Abend, and Ari Rappoport · 2018
Cited alongside, same era.
ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, and Lucia Specia · 2020
Later among the works it cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Later among the works it cites.
Iterative edit-based unsupervised sentence simplification
Dhruv Kumar, Lili Mou, Lukasz Golab, and Olga Vechtomova · 2020
Later among the works it cites.
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
Later among the works it cites.
Controllable sentence simplification
Louis Martin, Éric de la Clergerie, Benoît Sagot, and Antoine Bordes · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Integrating transformer and paraphrase rules for sentence simplification
Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono, and Bambang Parmanto · 2018
Cited alongside, same era.
EditNTS: An neural programmer-interpreter model for sentence simplification through explicit editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, and Jackie Chi Kit Cheung · 2019
Cited alongside, same era.
Controllable text simplification with lexical constraint loss
Daiki Nishihara, Tomoyuki Kajiwara, and Yuki Arase · 2019
Cited alongside, same era.
Unsupervised statistical text simplification
Jipeng Qiang and Xindong Wu · 2019
Cited alongside, same era.
Unsupervised neural text simplification
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, and Karthik Sankaranarayanan · 2019
Cited alongside, same era.
Lsbert: Lexical simplification based on bert
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Yang Shi, and Xindong Wu
Cited in the paper.
CCNet: Extracting high quality monolingual datasets from web crawl data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Edouard Grave · 2020
Later among the works it cites.
An unsupervised method for building sentence simplification corpora in multiple languages
Xinyu Lu, Jipeng Qiang, Yun Li, Yunhao Yuan, and Yi Zhu · 2021
Later among the works it cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
Later among the works it cites.
MUSS: Multilingual unsupervised sentence simplification by mining paraphrases
Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, and Benoît Sagot · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Later among the works it cites.
Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
Later among the works it cites.