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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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| Pubblicato in: | Database (Oxford) |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | 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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