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- W2804220263 abstract "Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a multi-pooling operation for medical relation classification on clinical records and explores a loss function with a category-level constraint matrix. Experiments using the 2010 i2b2/VA relation corpus demonstrate these models, which do not depend on any external features, outperform previous single-model methods and our best model is competitive with the existing ensemble-based method." @default.
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- W2804220263 date "2019-01-01" @default.
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- W2804220263 title "Classifying medical relations in clinical text via convolutional neural networks" @default.
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- W2804220263 doi "https://doi.org/10.1016/j.artmed.2018.05.001" @default.
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