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Fast and scalable neural embedding models for biomedical sentence classification
BACKGROUND: Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic and rhetoric categories (e.g., Background, M...
Guardat en:
| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6303852/ https://ncbi.nlm.nih.gov/pubmed/30577747 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2496-4 |
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