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
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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.309.pdf
Code
 huawei-noah/KD-NLP
Data
SSTTREC-10