On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing

Itsuki Okimura, Machel Reid, Makoto Kawano, Yutaka Matsuo. On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing. In Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula, editors, Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. pages 88-93, Association for Computational Linguistics, 2022. [doi]

@inproceedings{OkimuraRKM22,
  title = {On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing},
  author = {Itsuki Okimura and Machel Reid and Makoto Kawano and Yutaka Matsuo},
  year = {2022},
  url = {https://aclanthology.org/2022.insights-1.12},
  researchr = {https://researchr.org/publication/OkimuraRKM22},
  cites = {0},
  citedby = {0},
  pages = {88-93},
  booktitle = {Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022},
  editor = {Shabnam Tafreshi and João Sedoc and Anna Rogers and Aleksandr Drozd and Anna Rumshisky and Arjun R. Akula},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-40-7},
}