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Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
BACKGROUND: In recent years, deep learning methods have been applied to many natural language processing tasks to achieve state-of-the-art performance. However, in the biomedical domain, they have not out-performed supervised word sense disambiguation (WSD) methods based on support vector machines o...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886160/ https://www.ncbi.nlm.nih.gov/pubmed/31787096 http://dx.doi.org/10.1186/s12859-019-3079-8 |