Hierarchical bi-directional attention-based RNNs for supporting document classification on protein–protein interactions affected by genetic mutations

In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is composed of two bi-directional RNN equipped with a...

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Detalles Bibliográficos
Autores principales: Fergadis, Aris, Baziotis, Christos, Pappas, Dimitris, Papageorgiou, Haris, Potamianos, Alexandros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105093/
https://www.ncbi.nlm.nih.gov/pubmed/30137284
http://dx.doi.org/10.1093/database/bay076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105093/
https://www.ncbi.nlm.nih.gov/pubmed/30137284
http://dx.doi.org/10.1093/database/bay076

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