wmathor / aeda_nlp

Data augmentation for NLP, accepted at EMNLP 2021 Findings

AEDA: An Easier Data Augmentation Technique for Text Classification

This is the code for the EMNLP 2021 paper AEDA: An Easier Data Augmentation Technique for Text Classification

The baseline code is for EDA: Easy Data Augmentation techniques for boosting performance on text classification tasks

Our augmentation code can be found in the code folder titled aeda.py. In addition, we also make available our train and test data which is in the data folder.

Citation

@misc{karimi2021aeda,
      title={AEDA: An Easier Data Augmentation Technique for Text Classification},
      author={Akbar Karimi and Leonardo Rossi and Andrea Prati},
      year={2021},
      eprint={2108.13230},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}