Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks

Haoqi Zheng, Qihuang Zhong, Liang Ding 0006, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li 0001, Dacheng Tao. Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 8964-8974, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhengZ0TNW0T23,
  title = {Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks},
  author = {Haoqi Zheng and Qihuang Zhong and Liang Ding 0006 and Zhiliang Tian and Xin Niu and Changjian Wang and Dongsheng Li 0001 and Dacheng Tao},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.555},
  researchr = {https://researchr.org/publication/ZhengZ0TNW0T23},
  cites = {0},
  citedby = {0},
  pages = {8964-8974},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}