BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies

BACKGROUND: Recent studies have proposed deep learning techniques, namely recurrent neural networks, to improve biomedical text mining tasks. However, these techniques rarely take advantage of existing domain-specific resources, such as ontologies. In Life and Health Sciences there is a vast and val...

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Detalles Bibliográficos
Autores principales: Lamurias, Andre, Sousa, Diana, Clarke, Luka A., Couto, Francisco M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323831/
https://www.ncbi.nlm.nih.gov/pubmed/30616557
http://dx.doi.org/10.1186/s12859-018-2584-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323831/
https://www.ncbi.nlm.nih.gov/pubmed/30616557
http://dx.doi.org/10.1186/s12859-018-2584-5

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