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A knowledge-poor approach to chemical-disease relation extraction
The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations from PubMed abstracts. A first version of the approach was applied during the participation in the BioCreative V track 3, both in Disease Named Entity Recognition and Normalization (DNER) and in Chem...
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| Izdano u: | Database (Oxford) |
|---|---|
| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2016
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4869795/ https://ncbi.nlm.nih.gov/pubmed/27189609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baw071 |
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