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Combining word embeddings to extract chemical and drug entities in biomedical literature
BACKGROUND: Natural language processing (NLP) and text mining technologies for the extraction and indexing of chemical and drug entities are key to improving the access and integration of information from unstructured data such as biomedical literature. METHODS: In this paper we evaluate two importa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684055/ https://www.ncbi.nlm.nih.gov/pubmed/34920708 http://dx.doi.org/10.1186/s12859-021-04188-3 |