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Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning
Medicinal chemistry patents contain rich information about chemical compounds. Although much effort has been devoted to extracting chemical entities from scientific literature, limited numbers of patent mining systems are publically available, probably due to the lack of large manually annotated cor...
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| Publicado no: | Database (Oxford) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4834204/ https://ncbi.nlm.nih.gov/pubmed/27087307 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baw049 |
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