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A CRF-based system for recognizing chemical entity mentions (CEMs) in biomedical literature
BACKGROUND: In order to improve information access on chemical compounds and drugs (chemical entities) described in text repositories, it is very crucial to be able to identify chemical entity mentions (CEMs) automatically within text. The CHEMDNER challenge in BioCreative IV was specially designed...
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| Publicado no: | J Cheminform |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331687/ https://ncbi.nlm.nih.gov/pubmed/25810768 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S11 |
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