Extracting chemical reactions from text using Snorkel
Abstract Background Enzymatic and chemical reactions are key for understanding biological processes in cells. Curated databases of chemical reactions exist but these databases struggle to keep up with the exponential growth of the biomedical literature. Conventional text mining pipelines provide too...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2020-05-01
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| coleção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12859-020-03542-1 |
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