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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| 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 |