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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| 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 |