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# TextFooler
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A Model for Natural Language Attack on Text Classification and Inference
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This is the source code for the paper: [Jin, Di, et al. "Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment." arXiv preprint arXiv:1907.11932 (2019)](https://arxiv.org/pdf/1907.11932.pdf).
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This is the source code for the paper: [Jin, Di, et al. "Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment." arXiv preprint arXiv:1907.11932 (2019)](https://arxiv.org/pdf/1907.11932.pdf). If you use the code, please cite the paper:
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```
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@article{jin2019bert,
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title={Is bert really robust? natural language attack on text classification and entailment},
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author={Jin, Di and Jin, Zhijing and Zhou, Joey Tianyi and Szolovits, Peter},
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journal={arXiv preprint arXiv:1907.11932},
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year={2019}
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}
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```
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## Prerequisites:
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* Pytorch >= 0.4

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