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Improving the learning of chemical-protein interactions from literature using transfer learning and specialized word embeddings
In this paper, we explore the application of artificial neural network (‘deep learning’) methods to the problem of detecting chemical-protein interactions in PubMed abstracts. We present here a system using multiple Long Short Term Memory layers to analyse candidate interactions, to determine whethe...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044291/ https://www.ncbi.nlm.nih.gov/pubmed/30010749 http://dx.doi.org/10.1093/database/bay066 |