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A knowledge-poor approach to chemical-disease relation extraction

The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations from PubMed abstracts. A first version of the approach was applied during the participation in the BioCreative V track 3, both in Disease Named Entity Recognition and Normalization (DNER) and in Chem...

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Detalhes bibliográficos
Publicado no:Database (Oxford)
Main Authors: Alam, Firoj, Corazza, Anna, Lavelli, Alberto, Zanoli, Roberto
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4869795/
https://ncbi.nlm.nih.gov/pubmed/27189609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baw071
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