When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification

BACKGROUND: Natural language processing (NLP) tasks in the health domain often deal with limited amount of labeled data due to high annotation costs and naturally rare observations. To compensate for the lack of training data, health NLP researchers often have to leverage knowledge and resources ext...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xuedong, Yuan, Walter, Peng, Dezhong, Mei, Qiaozhu, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981604/
https://www.ncbi.nlm.nih.gov/pubmed/35382811
http://dx.doi.org/10.1186/s12911-022-01829-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981604/
https://www.ncbi.nlm.nih.gov/pubmed/35382811
http://dx.doi.org/10.1186/s12911-022-01829-2

Ejemplares similares