Unsupervised Label Refinement Improves Dataless Text Classification

Zewei Chu, Karl Stratos, Kevin Gimpel


Anthology ID:
2021.findings-acl.365
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4165–4178
Language:
URL:
https://aclanthology.org/2021.findings-acl.365
DOI:
10.18653/v1/2021.findings-acl.365
Bibkey:
Cite (ACL):
Zewei Chu, Karl Stratos, and Kevin Gimpel. 2021. Unsupervised Label Refinement Improves Dataless Text Classification. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4165–4178, Online. Association for Computational Linguistics.
Cite (Informal):
Unsupervised Label Refinement Improves Dataless Text Classification (Chu et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.365.pdf
Optional supplementary material:
 2021.findings-acl.365.OptionalSupplementaryMaterial.zip
Code
 ZeweiChu/ULR
Data
AG News