MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging

Hongru Wang, Zezhong Wang, Wai Chung Kwan, Kam-Fai Wong


Anthology ID:
2023.ijcnlp-main.5
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
54–65
Language:
URL:
https://aclanthology.org/2023.ijcnlp-main.5
DOI:
10.18653/v1/2023.ijcnlp-main.5
Bibkey:
Cite (ACL):
Hongru Wang, Zezhong Wang, Wai Chung Kwan, and Kam-Fai Wong. 2023. MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 54–65, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging (Wang et al., IJCNLP-AACL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/landing_page/2023.ijcnlp-main.5.pdf