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We propose a novel data augmentation for labeled sentences called contextual augmentation.
Cours de linguistique geÌneÌrale
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Transformation Invariance in Pattern Recognition — Tangent Distance and Tangent Propagation . Springer Berlin Heidelberg
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
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Transition-based dependency parsing with stack long short-term memory
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Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, and Kentaro Inui. 2016 · 2016
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context2vec: Learning generic context embedding with bidirectional lstm
Oren Melamud, Jacob Goldberger, and Ido Dagan. 2016 · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Training data augmentation for low-resource morphological inflection
Toms Bergmanis, Katharina Kann, Hinrich Schütze, and Sharon Goldwater. 2017 · 2017
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Data augmentation for low-resource neural machine translation
Marzieh Fadaee, Arianna Bisazza, and Christof Monz. 2017 · 2017
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Toward controlled generation of text
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Dual supervised learning
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