Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
Tim Schopf, Alexander Blatzheim, Nektarios Machner, Florian Matthes
- Anthology ID:
- 2024.icnlsp-1.21
- Volume:
- Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
- Month:
- October
- Year:
- 2024
- Address:
- Trento
- Editors:
- Mourad Abbas, Abed Alhakim Freihat
- Venue:
- ICNLSP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 186–198
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.icnlsp-1.21/
- DOI:
- Cite (ACL):
- Tim Schopf, Alexander Blatzheim, Nektarios Machner, and Florian Matthes. 2024. Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes. In Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pages 186–198, Trento. Association for Computational Linguistics.
- Cite (Informal):
- Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (Schopf et al., ICNLSP 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.icnlsp-1.21.pdf