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A document classifier for medicinal chemistry publications trained on the ChEMBL corpus
BACKGROUND: The large increase in the number of scientific publications has fuelled a need for semi- and fully automated text mining approaches in order to assist in the triage process, both for individual scientists and also for larger-scale data extraction and curation into public databases. Here,...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer International Publishing
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4158272/ https://ncbi.nlm.nih.gov/pubmed/25221627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-014-0040-8 |
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