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Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles
Building high accuracy text classifiers is an important task in biomedicine given the wealth of information hidden in unstructured narratives such as research articles and clinical documents. Due to large feature spaces, traditionally, discriminative approaches such as logistic regression and suppor...
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| Publicado no: | ACM BCB |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5521984/ https://ncbi.nlm.nih.gov/pubmed/28736769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2808719.2808746 |
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