Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
- Anthology ID:
- 2021.findings-acl.309
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3522–3533
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.309
- DOI:
- 10.18653/v1/2021.findings-acl.309
- Cite (ACL):
- Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, and Ali Ghodsi. 2021. Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3522–3533, Online. Association for Computational Linguistics.
- Cite (Informal):
- Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax (Kamalloo et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.findings-acl.309.pdf
- Code
- huawei-noah/KD-NLP
- Data
- SST, SST-2, SST-5, TREC-10