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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Detalles Bibliográficos
Autores principales: Zhang, Yaoyun, Xu, Jun, Chen, Hui, Wang, Jingqi, Wu, Yonghui, Prakasam, Manu, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834204/
https://www.ncbi.nlm.nih.gov/pubmed/27087307
http://dx.doi.org/10.1093/database/baw049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834204/
https://www.ncbi.nlm.nih.gov/pubmed/27087307
http://dx.doi.org/10.1093/database/baw049

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