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Chemical-induced disease relation extraction via attention-based distant supervision
BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical entities from scientific literature, its succes...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647285/ https://www.ncbi.nlm.nih.gov/pubmed/31331263 http://dx.doi.org/10.1186/s12859-019-2884-4 |