Evaluation of chemical and gene/protein entity recognition systems at BioCreative V.5: the CEMP and GPRO patents tracks

This paper presents the results of the BioCreative V.5 offline tasks related to the evaluation of the performance as well as assess progress made by strategies used for the automatic recognition of mentions of chemical names and gene in running text of medicinal chemistry patent abstracts. A total o...

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Detalhes bibliográficos
Autor principal: Pérez-Pérez, Martin (author)
Outros Autores: Rabal, Obdulia (author), Pérez-Rodríguez, Gael (author), Vazquez, Miguel (author), Fdez-Riverola, Florentino (author), Oyarzabal, Julen (author), Valencia, Alfonso (author), Lourenço, Anália (author), Krallinger, Martin (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2017
Assuntos:
CEMP
GPRO
ChemNLP
BioCreative
Named Entity Recognition
Chemical compounds
Genes/proteins
Text Mining
Texto completo:http://hdl.handle.net/1822/47885
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/47885

Texto Completo

http://hdl.handle.net/1822/47885

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