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NERChem: adapting NERBio to chemical patents via full-token features and named entity feature with chemical sub-class composition

Chemical patents contain detailed information on novel chemical compounds that is valuable to the chemical and pharmaceutical industries. In this paper, we introduce a system, NERChem that can recognize chemical named entity mentions in chemical patents. NERChem is based on the conditional random fi...

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Detalles Bibliográficos
Autores principales:	Tsai, Richard Tzong-Han, Hsiao, Yu-Cheng, Lai, Po-Ting
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/PMC5091336/ https://www.ncbi.nlm.nih.gov/pubmed/31414701 http://dx.doi.org/10.1093/database/baw135

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