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Knowledge-guided convolutional networks for chemical-disease relation extraction
BACKGROUND: Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-structured knowledge bases (KBs), which contain prior knowledge about chemicals and...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| 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/PMC6528333/ https://ncbi.nlm.nih.gov/pubmed/31113357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2873-7 |
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