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Mining chemical patents with an ensemble of open systems
The significant amount of medicinal chemistry information contained in patents makes them an attractive target for text mining. In this manuscript, we describe systems for named entity recognition (NER) of chemicals and genes/proteins in patents, using the CEMP (for chemicals) and GPRO (for genes/pr...
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| Publié dans: | Database (Oxford) |
|---|---|
| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4865327/ https://ncbi.nlm.nih.gov/pubmed/27173521 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baw065 |
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