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%0 Conference Proceedings
%T Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
%A Schopf, Tim
%A Blatzheim, Alexander
%A Machner, Nektarios
%A Matthes, Florian
%Y Abbas, Mourad
%Y Freihat, Abed Alhakim
%S Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
%D 2024
%8 October
%I Association for Computational Linguistics
%C Trento
%F schopf-etal-2024-efficient
%U https://aclanthology.org/2024.icnlsp-1.21
%P 186-198

Markdown (Informal)

[Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes](https://aclanthology.org/2024.icnlsp-1.21) (Schopf et al., ICNLSP 2024)

• Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (Schopf et al., ICNLSP 2024)

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.