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Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing papers in English.
HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Statistical significance tests for machine translation evaluation
Philipp Koehn. 2004 · 2004
Earlier work this paper cites.
Automatic Collocation Suggestion in Academic Writing
Jian-Cheng Wu, Yu-Chia Chang, Teruko Mitamura, and Jason S. Chang. 2010 · 2010
Earlier work this paper cites.
Helping our own: The HOO 2011 pilot shared task
Robert Dale and Adam Kilgarriff. 2011 · 2011
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A corpus of textual revisions in second language writing
John Lee and Jonathan Webster. 2012 · 2012
Earlier work this paper cites.
Automated evaluation of scientific writing: AESW shared task proposal
Vidas Daudaravičius. 2015 · 2015
Earlier work this paper cites.
JFLEG: A fluency corpus and benchmark for grammatical error correction
Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017 · 2017
Earlier work this paper cites.
QuickEdit: Editing text & translations by crossing words out
David Grangier and Michael Auli. 2018 · 2018
Cited alongside, same era.
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, and Dhruv Batra. 2018 · 2018
Cited alongside, same era.
Gmail smart compose: Real-time assisted writing
Chen, Mia Xu and Lee, Benjamin N. and Bansal, Gagan and Cao, Yuan and Zhang, Shuyuan and Lu, Justin and Tsay, Jackie and Wang, Yinan and Dai, Andrew M. and Chen, Zhifeng and Sohn, Timothy and Wu, Yonghui. 2019 · 2019
Cited alongside, same era.
TEASPN: Framework and protocol for integrated writing assistance environments
Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, and Kentaro Inui. 2019 · 2019
Cited alongside, same era.
Diamonds in the rough: Generating fluent sentences from early-stage drafts for academic writing assistance
Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, and Kentaro Inui. 2019 · 2019
Pay Less Attention with Lightweight and Dynamic Convolutions
Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, and Michael Auli. 2019 · 2019
Later among the works it cites.
Wanrong Zhu, Zhiting Hu, and Eric Xing. 2019 · 2019
Later among the works it cites.
Enabling language models to fill in the blanks
Chris Donahue, Mina Lee, and Percy Liang. 2020 · 2020
Closest in time.
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
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LinggleWrite: a coaching system for essay writing
Chung-Ting Tsai, Jhih-Jie Chen, Ching-Yu Yang, and Jason S. Chang. 2020 · 2020
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Cited alongside, same era.
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
Cited alongside, same era.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Closest in time.
Automatic compilation of resources for academic writing and evaluating with informal word identification and paraphrasing system
Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Lee, and Chris Biemann. 2020 · 2020
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