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Natural language processing technology has rapidly improved automated grammatical error correction tasks, and the community begins to explore document-level revision as one of the next challenges.
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Feedback and revision in writing across the curriculum classes
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An improved error model for noisy channel spelling correction
Eric Brill and Robert C. Moore. 2000 · 2000
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Power Writing: Writing with Purpose
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BLEU: A Method for Automatic Evaluation of Machine Translation
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The Writing Process and Process Writing , page 315–320. Cambridge University Press
Anthony Seow. 2002 · 2002
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Pronunciation modeling for improved spelling correction
Kristina Toutanova and Robert Moore. 2002 · 2002
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Finding the write stuff: Automatic identification of discourse structure in student essays
Jill Burstein, Daniel Marcu, and Kevin Knight. 2003 · 2003
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Revision Cognitive and Instructional Processes. , volume 8
Linda Allal, Lucile Chanquoy, and Pierre Largy. 2004 · 2004
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CoNLL-X shared task on multilingual dependency parsing
Sabine Buchholz and Erwin Marsi. 2006 · 2006
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Detecting Errors in English Article Usage by Non-Native Speakers
Na-Rae Han, Martin Chodorow, and Claudia Leacock. 2006 · 2006
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A Feedback-Augmented Method for Detecting Errors in the Writing of Learners of English
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Detection of grammatical errors involving prepositions
Martin Chodorow, Joel Tetreault, and Na-Rae Han. 2007 · 2007
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A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English
Rachele De Felice and Stephen G. Pulman. 2008 · 2008
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Correcting misuse of verb forms
John Lee and Stephanie Seneff. 2008 · 2008
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The ups and downs of preposition error detection in ESL writing
Joel R. Tetreault and Martin Chodorow. 2008 · 2008
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Real-word spelling correction using Google Web 1T 3-grams
Aminul Islam and Diana Inkpen. 2009 · 2009
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Using parse features for preposition selection and error detection
Joel Tetreault, Jennifer Foster, and Martin Chodorow. 2010 · 2010
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Helping our own: The hoo 2011 pilot shared task
Robert Dale and Adam Kilgarriff. 2011 · 2011
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A New Dataset and Method for Automatically Grading ESOL Texts
Helen Yannakoudakis, Ted Briscoe, and Ben Medlock. 2011 · 2011
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Stylometric analysis of scientific articles
Shane Bergsma, Matt Post, and David Yarowsky. 2012 · 2012
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Better Evaluation for Grammatical Error Correction
Daniel Dahlmeier and Hwee Tou Ng. 2012 · 2012
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Hoo 2012: A report on the preposition and determiner error correction shared task
Robert Dale, Ilya Anisimoff, and George Narroway. 2012 · 2012
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A corpus of textual revisions in second language writing
John Lee and Jonathan Webster. 2012 · 2012
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Tense and Aspect Error Correction for ESL Learners Using Global Context
Toshikazu Tajiri, Mamoru Komachi, and Yuji Matsumoto. 2012 · 2012
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Robust systems for preposition error correction using Wikipedia revisions
Aoife Cahill, Nitin Madnani, Joel Tetreault, and Diane Napolitano. 2013 · 2013
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The CoNLL-2013 Shared Task on Grammatical Error Correction
Hwee Tou Ng, Siew Mei Wu, Yuanbin Wu, Christian Hadiwinoto, and Joel Tetreault. 2013 · 2013
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Automated grammatical error detection for language learners
Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault. 2014 · 2014
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Correcting preposition errors in learner English using error case frames and feedback messages
A corpus of annotated revisions for studying argumentative writing
Fan Zhang, Homa B. Hashemi, Rebecca Hwa, and Diane Litman. 2017 · 2017
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A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt and Hwee Tou Ng. 2018 · 2018
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Reference-less measure of faithfulness for grammatical error correction
Leshem Choshen and Omri Abend. 2018 · 2018
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Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study
Tao Ge, Furu Wei, and Ming Zhou. 2018 · 2018
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Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
Ziang Xie, Guillaume Genthial, Andrew Y. Ng, and Dan Jurafsky. 2018 · 2018
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Ryo Nagata, Mikko Vilenius, and Edward Whittaker. 2014 · 2014
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The CoNLL-2014 Shared Task on Grammatical Error Correction
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014 · 2014
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Building a state-of-the-art grammatical error correction system
Alla Rozovskaya and Dan Roth. 2014 · 2014
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Sentence-level rewriting detection
Fan Zhang and Diane Litman. 2014 · 2014
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Towards a standard evaluation method for grammatical error detection and correction
Mariano Felice and Ted Briscoe. 2015 · 2015
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Pairwise neural machine translation evaluation
Francisco Guzmán, Shafiq Joty, Lluís Màrquez, and Preslav Nakov. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
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The BEA-2019 shared task on grammatical error correction
Christopher Bryant, Mariano Felice, Øistein E. Andersen, and Ted Briscoe. 2019 · 2019
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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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An empirical study of incorporating pseudo data into grammatical error correction
Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, and Kentaro Inui. 2019 · 2019
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Cross-corpora evaluation and analysis of grammatical error correction models — is single-corpus evaluation enough?
Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, and Kentaro Inui. 2019 · 2019
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Toward a task of feedback comment generation for writing learning
Ryo Nagata. 2019 · 2019
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Enabling robust grammatical error correction in new domains: Data sets, metrics, and analyses
Courtney Napoles, Maria Nădejde, and Joel Tetreault. 2019 · 2019
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Grammatical error correction in low error density domains: A new benchmark and analyses
Simon Flachs, Ophélie Lacroix, Helen Yannakoudakis, Marek Rei, and Anders Søgaard. 2020 · 2020
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Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction
Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, and Kentaro Inui. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Exploring methods for generating feedback comments for writing learning
Kazuaki Hanawa, Ryo Nagata, and Kentaro Inui. 2021 · 2021
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Is this the end of the gold standard? a straightforward reference-less grammatical error correction metric
Md Asadul Islam and Enrico Magnani. 2021 · 2021
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Comparison of grammatical error correction using back-translation models
Aomi Koyama, Kengo Hotate, Masahiro Kaneko, and Mamoru Komachi. 2021 · 2021
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Shared task on feedback comment generation for language learners
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, and Olena Nahorna. 2021 · 2021
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A simple recipe for multilingual grammatical error correction
Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, and Aliaksei Severyn. 2021 · 2021
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Document-level grammatical error correction
Zheng Yuan and Christopher Bryant. 2021 · 2021
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Argrewrite v. 2: an annotated argumentative revisions corpus
Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane Litman, and Rebecca Hwa. 2022 · 2022
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Taking the correction difficulty into account in grammatical error correction evaluation
Takumi Gotou, Ryo Nagata, Masato Mita, and Kazuaki Hanawa. 2020 · 2095
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