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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...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6647285/ https://ncbi.nlm.nih.gov/pubmed/31331263 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2884-4 |
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