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...

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Detalles Bibliográficos
Autores principales: Agibetov, Asan, Blagec, Kathrin, Xu, Hong, Samwald, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303852/
https://www.ncbi.nlm.nih.gov/pubmed/30577747
http://dx.doi.org/10.1186/s12859-018-2496-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303852/
https://www.ncbi.nlm.nih.gov/pubmed/30577747
http://dx.doi.org/10.1186/s12859-018-2496-4

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