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Improving chemical disease relation extraction with rich features and weakly labeled data
BACKGROUND: Due to the importance of identifying relations between chemicals and diseases for new drug discovery and improving chemical safety, there has been a growing interest in developing automatic relation extraction systems for capturing these relations from the rich and rapid-growing biomedic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054544/ https://www.ncbi.nlm.nih.gov/pubmed/28316651 http://dx.doi.org/10.1186/s13321-016-0165-z |