GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics
Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
- Anthology ID:
- 2024.findings-acl.332
- Volume:
- Findings of the Association for Computational Linguistics: ACL 2024
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Lun-Wei Ku, Andre Martins, Vivek Srikumar
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 5571–5597
- Language:
- URL:
- https://preview.aclanthology.org/Author-page-Marten-During-lu/2024.findings-acl.332/
- DOI:
- 10.18653/v1/2024.findings-acl.332
- Cite (ACL):
- Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, and Heinz Koeppl. 2024. GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. In Findings of the Association for Computational Linguistics: ACL 2024, pages 5571–5597, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics (Cai et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/Author-page-Marten-During-lu/2024.findings-acl.332.pdf