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Chemical–gene relation extraction using recursive neural network
In this article, we describe our system for the CHEMPROT task of the BioCreative VI challenge. Although considerable research on the named entity recognition of genes and drugs has been conducted, there is limited research on extracting relationships between them. Extracting relations between chemic...
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| Опубликовано в: : | Database (Oxford) |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6014134/ https://ncbi.nlm.nih.gov/pubmed/29961818 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/bay060 |
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