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...

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Detalles Bibliográficos
Autores principales: Zhang, Canlin, Biś, Daniel, Liu, Xiuwen, He, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

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