Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules

Chemical named entity recognition (NER) is an active field of research in biomedical natural language processing. To facilitate the development of new and superior chemical NER systems, BioCreative released the CHEMDNER corpus, an extensive dataset of diverse manually annotated chemical entities. Mo...

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Detalles Bibliográficos
Autores principales: Korvigo, Ilia, Holmatov, Maxim, Zaikovskii, Anatolii, Skoblov, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966369/
https://www.ncbi.nlm.nih.gov/pubmed/29796778
http://dx.doi.org/10.1186/s13321-018-0280-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966369/
https://www.ncbi.nlm.nih.gov/pubmed/29796778
http://dx.doi.org/10.1186/s13321-018-0280-0

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