HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V

In this article, an end-to-end system was proposed for the challenge task of disease named entity recognition (DNER) and chemical-induced disease (CID) relation extraction in BioCreative V, where DNER includes disease mention recognition (DMR) and normalization (DN). Evaluation on the challenge corp...

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Detalles Bibliográficos
Autores principales: Li, Haodi, Tang, Buzhou, Chen, Qingcai, Chen, Kai, Wang, Xiaolong, Wang, Baohua, Wang, Zhe
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/PMC4911788/
https://www.ncbi.nlm.nih.gov/pubmed/27270713
http://dx.doi.org/10.1093/database/baw077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911788/
https://www.ncbi.nlm.nih.gov/pubmed/27270713
http://dx.doi.org/10.1093/database/baw077

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