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...

Descripción completa

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

Internet

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

Ejemplares similares