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While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation.
Grammatical error correction and style transfer via zero-shot monolingual translation
Elizaveta Korotkova, Agnes Luhtaru, Maksym Del, Krista Liin, Daiga Deksne, and Mark Fishel. 2019 · 1903
Earlier work this paper cites.
Formality style transfer with hybrid textual annotations
Ruochen Xu, Tao Ge, and Furu Wei. 2019 · 1903
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 · 2002
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, and Abhilasha Sancheti. 2020 · 2010
Earlier work this paper cites.
KenLM: Faster and smaller language model queries
Kenneth Heafield. 2011 · 2011
Earlier work this paper cites.
Deep learning for text style transfer: A survey
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, and Rada Mihalcea. 2020 · 2011
Earlier work this paper cites.
Efficient estimation of word representations in vector space
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Predicting grammaticality on an ordinal scale
Michael Heilman, Aoife Cahill, Nitin Madnani, Melissa Lopez, Matthew Mulholland, and Joel Tetreault. 2014 · 2014
Earlier work this paper cites.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
From word embeddings to document distances
Matt Kusner, Yu Sun, Nicholas Kolkin, and Kilian Weinberger. 2015 · 2015
Earlier work this paper cites.
Squinky! A corpus of sentence-level formality, informativeness, and implicature
Shibamouli Lahiri. 2015 · 2015
Earlier work this paper cites.
chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
Earlier work this paper cites.
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Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, and Janyce Wiebe. 2016 · 2016
Earlier work this paper cites.
OpenSubtitles2016: Extracting large parallel corpora from movie and TV subtitles
Pierre Lison and Jörg Tiedemann. 2016 · 2016
Earlier work this paper cites.
An empirical analysis of formality in online communication
Ellie Pavlick and Joel Tetreault. 2016 · 2016
Earlier work this paper cites.
SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, and Lucia Specia. 2017 · 2017
Earlier work this paper cites.
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Cited alongside, same era.
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
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Hongyu Gong, Suma Bhat, Lingfei Wu, JinJun Xiong, and Wen-mei Hwu. 2019 · 2019
Cited alongside, same era.
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Junxian He, Xinyi Wang, Graham Neubig, and Taylor Berg-Kirkpatrick. 2019 · 2019
Cited alongside, same era.
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Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson. 2020 · 2020
Later among the works it cites.
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Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael Lyu, and Irwin King. 2020 · 2020
Later among the works it cites.
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Nitika Mathur, Johnny Wei, Markus Freitag, Qingsong Ma, and Ondřej Bojar. 2020 · 2020
Later among the works it cites.
Masked language model scoring
Julian Salazar, Davis Liang, Toan Q. Nguyen, and Katrin Kirchhoff. 2020 · 2020
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Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, and Anandhavelu Natarajan. 2020 · 2020
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