Result: AdaSent: efficient domain-adapted sentence embeddings for few-shot classification

*Title*:

AdaSent: efficient domain-adapted sentence embeddings for few-shot classification / Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavaš, Iryna Gurevych

*Author/editor-in-chief*:

Huang, Yongxin (Verfasser) ; Wang, Kexin (Verfasser); Dutta, Sourav (Verfasser) ; Patel, Raj Nath (Verfasser); Glavaš, Goran (Verfasser); Gurevych, Iryna (Verfasser)

*Published in*:

Bouamor, Houda$BHerausgeber$4edt. The 2023 Conference on Empirical Methods in Natural Language Processing - proceedings of the conference : EMNLP 2023. - Stroudsburg, PA : Association for Computational Linguistics, 2023. - ISBN 9798891760608. - (2023), Seite 3420-3434

*Publication*:

Singapore, 2023

*Format*:

*eArticle*

*Language*:

*eng*

*Subject Added Keywords*:

*DOI*:

10.18653/v1/2023.emnlp-main.208

*oa_rights*:

Open Access
CC BY 4.0

*Result*: AdaSent: efficient domain-adapted sentence embeddings for few-shot classification

*Additional information*

*Additional functions*

Result: AdaSent: efficient domain-adapted sentence embeddings for few-shot classification

Additional information

Additional functions