Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions

@article{Omar2022RobustNL,
  title={Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions},
  author={Marwan Omar and Soohyeon Choi and Daehun Nyang and David A. Mohaisen},
  journal={IEEE Access},
  year={2022},
  volume={10},
  pages={86038-86056}
}
Recent natural language processing (NLP) techniques have accomplished high performance on benchmark data sets, primarily due to the significant improvement in the performance of deep learning. The advances in the research community have led to great enhancements in state-of-the-art production systems for NLP tasks, such as virtual assistants, speech recognition, and sentiment analysis. However, such NLP systems still often fail when tested with adversarial attacks. The initial lack of… 

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