Convolutional neural networks for biomedical text classification: application in indexing biomedical articles

@article{Rios2015ConvolutionalNN,
  title={Convolutional neural networks for biomedical text classification: application in indexing biomedical articles},
  author={Anthony Rios and Ramakanth Kavuluru},
  journal={ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine},
  year={2015},
  volume={2015},
  pages={258-267}
}
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 support vector machines with n-gram and semantic features (e.g., named entities) have been used for text classification where additional performance gains are typically made through feature selection and… CONTINUE READING
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