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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| 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 |