Madhusudan Lakshmana

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The state-of-the-art CNN models give good performance on sentence classification tasks. The purpose of this work is to empirically study desirable properties such as semantic coherence, attention mechanism and reusabil-ity of CNNs in these tasks. Semantically coherent kernels are preferable as they are a lot more interpretable for explaining the decision of(More)
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