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...

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Detalles Bibliográficos
Autores principales: Yang, Feihong, Wang, Xuwen, Ma, Hetong, Li, Jiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
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

Internet

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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