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Customer feedback can be an important signal for improving commercial machine translation systems.
Relatif: Identifying explanatory training samples via relative influence
Elnaz Barshan, Marc-Etienne Brunet, and Gintare Karolina Dziugaite. 2020 · 1909
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Revisiting self-training for neural sequence generation
Junxian He, Jiatao Gu, Jiajun Shen, and Marc’Aurelio Ranzato. 2019 · 1909
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The influence curve and its role in robust estimation
Frank R Hampel. 1974 · 1974
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Residuals and influence in regression
R Dennis Cook and Sanford Weisberg. 1982 · 1982
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Explaining black box predictions and unveiling data artifacts through influence functions
Xiaochuang Han, Byron C Wallace, and Yulia Tsvetkov. 2020 · 2005
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Language id in the wild: Unexpected challenges on the path to a thousand-language web text corpus
Isaac Caswell, Theresa Breiner, Daan van Esch, and Ankur Bapna. 2020 · 2010
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Fortifying toxic speech detectors against veiled toxicity
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Fastif: Scalable influence functions for efficient model interpretation and debugging
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Second-order stochastic optimization for machine learning in linear time
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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On the impact of various types of noise on neural machine translation
Huda Khayrallah and Philipp Koehn. 2018 · 2018
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Wei Wang, Taro Watanabe, Macduff Hughes, Tetsuji Nakagawa, and Ciprian Chelba. 2018 · 2018
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Paracrawl: Web-scale acquisition of parallel corpora
Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, et al. 2020 · 2020
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Estimating training data influence by tracing gradient descent
Garima Pruthi, Frederick Liu, Satyen Kale, and Mukund Sundararajan. 2020 · 2020
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Bifixer and bicleaner: two open-source tools to clean your parallel data
Gema Ramírez-Sánchez, Jaume Zaragoza-Bernabeu, Marta Bañón, and Sergio Ortiz-Rojas. 2020 · 2020
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Tracing knowledge in language models back to the training data
Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, and Kelvin Guu. 2022 · 2022
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