Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

BACKGROUND: The volume of biomedical literature and clinical data is growing at an exponential rate. Therefore, efficient access to data described in unstructured biomedical texts is a crucial task for the biomedical industry and research. Named Entity Recognition (NER) is the first step for informa...

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Detalles Bibliográficos
Autores principales: Rivera-Zavala, Renzo M., Martínez, Paloma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680060/
https://www.ncbi.nlm.nih.gov/pubmed/34920703
http://dx.doi.org/10.1186/s12859-021-04247-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680060/
https://www.ncbi.nlm.nih.gov/pubmed/34920703
http://dx.doi.org/10.1186/s12859-021-04247-9

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