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Transformers-sklearn: a toolkit for medical language understanding with transformer-based models
BACKGROUND: Transformer is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the difficulty of beginning to use transformer-based models in medical language understanding and expand the capability of the scikit-learn toolkit in deep lea...
Autores principales: | Yang, Feihong, Wang, Xuwen, Ma, Hetong, Li, Jiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323195/ https://www.ncbi.nlm.nih.gov/pubmed/34330244 http://dx.doi.org/10.1186/s12911-021-01459-0 |
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