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The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles.
Motivations and methods for text simplification
R. Chandrasekar, Christine Doran, and B. Srinivas. 1996 · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Sentence alignment for monolingual comparable corpora
Regina Barzilay and Noemie Elhadad. 2003 · 2003
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Syntactic simplification and text cohesion
Advaith Siddharthan. 2006 · 2006
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Mining a lexicon of technical terms and lay equivalents
Noemie Elhadad and Komal Sutaria. 2007 · 2007
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Text simplification for language learners: A corpus analysis
Sarah E Petersen and Mari Ostendorf. 2007 · 2007
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Survey article: Inter-coder agreement for computational linguistics
Ron Artstein and Massimo Poesio. 2008 · 2008
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Entity-focused sentence simplification for relation extraction
Makoto Miwa, Rune Sætre, Yusuke Miyao, and Jun’ichi Tsujii. 2010 · 2010
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Reformulating discourse connectives for non-expert readers
Advaith Siddharthan and Napoleon Katsos. 2010 · 2010
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Extracting parallel sentences from comparable corpora using document level alignment
Jason R. Smith, Chris Quirk, and Kristina Toutanova. 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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Oakley supercomputer
Ohio Supercomputer Center. 2012 · 2012
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A simplification-translation-restoration framework for cross-domain SMT applications
Han-Bin Chen, Hen-Hsen Huang, Hsin-Hsi Chen, and Ching-Ting Tan. 2012 · 2012
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Selecting proper lexical paraphrase for children
Tomoyuki Kajiwara, Hiroshi Matsumoto, and Kazuhide Yamamoto. 2013 · 2013
Cited alongside, same era.
The impact of lexical simplification by verbal paraphrases for people with and without dyslexia
Luz Rello, Ricardo Baeza-Yates, and Horacio Saggion. 2013 · 2013
Cited alongside, same era.
Hybrid simplification using deep semantics and machine translation
Shashi Narayan and Claire Gardent. 2014 · 2014
Cited alongside, same era.
An open corpus of everyday documents for simplification tasks
David Pellow and Maxine Eskenazi. 2014 · 2014
Cited alongside, same era.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Aligning sentences from standard Wikipedia to simple Wikipedia
William Hwang, Hannaneh Hajishirzi, Mari Ostendorf, and Wei Wu. 2015 · 2015
Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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Multiwiki: interlingual text passage alignment in wikipedia
Simon Gottschalk and Elena Demidova. 2017 · 2017
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Exploring neural text simplification models
Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, and Liviu P. Dinu. 2017 · 2017
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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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Automatic text simplification
Horacio Saggion. 2017 · 2017
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Deep neural networks at the service of multilingual parallel sentence extraction
Ahmad Aghaebrahimian. 2018 · 2018
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Montreal neural machine translation systems for WMT’15
Sébastien Jean, Orhan Firat, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015 · 2015
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A deeper exploration of the standard PB-SMT approach to text simplification and its evaluation
Sanja Štajner, Hannah Béchara, and Horacio Saggion. 2015 · 2015
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Neural programmer-interpreters
Scott E. Reed and Nando de Freitas. 2016 · 2016
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Can text simplification help machine translation?
Sanja Štajner and Maja Popovic. 2016 · 2016
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Cross-lingual wikification using multilingual embeddings
Chen-Tse Tsai and Dan Roth. 2016 · 2016
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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.
Later among the works it cites.
CATS: A tool for customized alignment of text simplification corpora
Sanja Štajner, Marc Franco-Salvador, Paolo Rosso, and Simone Paolo Ponzetto. 2018 · 2018
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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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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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Transforming complex sentences into a semantic hierarchy
Christina Niklaus, Matthias Cetto, André Freitas, and Siegfried Handschuh. 2019 · 2019
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Vecalign: Improved sentence alignment in linear time and space
Brian Thompson and Philipp Koehn. 2019 · 2019
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Leveraging pre-trained checkpoints for sequence generation tasks
Sascha Rothe, Shashi Narayan, and Aliaksei Severyn. 2020 · 2020
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