Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

Hossein Amirkhani, Mohammad Taher Pilehvar. Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 4720-4728, Association for Computational Linguistics, 2021. [doi]

@inproceedings{AmirkhaniP21,
  title = {Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques},
  author = {Hossein Amirkhani and Mohammad Taher Pilehvar},
  year = {2021},
  url = {https://aclanthology.org/2021.findings-emnlp.405},
  researchr = {https://researchr.org/publication/AmirkhaniP21},
  cites = {0},
  citedby = {0},
  pages = {4720-4728},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}