Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning

MOTIVATION: Few-shot learning that can effectively perform named entity recognition in low-resource scenarios has raised growing attention, but it has not been widely studied yet in the biomedical field. In contrast to high-resource domains, biomedical named entity recognition (BioNER) often encount...

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Detalles Bibliográficos
Autores principales: Chen, Peng, Wang, Jian, Lin, Hongfei, Zhao, Di, Yang, Zhihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444965/
https://www.ncbi.nlm.nih.gov/pubmed/37549065
http://dx.doi.org/10.1093/bioinformatics/btad496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444965/
https://www.ncbi.nlm.nih.gov/pubmed/37549065
http://dx.doi.org/10.1093/bioinformatics/btad496

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