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CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification

Arjun Magge, Matthew Scotch, Graciela Gonzalez
2017 American Medical Informatics Association Annual Symposium  
Most practical text classification tasks in natural language processing involve training sets where the number of training instances belonging to each of the classes are not equal.  ...  In this work, we describe a cost sensitive and random undersampling variants of convolutional neural networks (CNNs) for classifying texts in imbalanced datasets and analyze its results.  ...  Conclusion and Future Work In this work we evaluate a CNN classifer for detecting ADR and medication intakes as part of two shared tasks at AMIA-2017.  ... 
dblp:conf/amia/MaggeSG17 fatcat:67a32qn6svb37ignwztrmf2tte