Attentive Pooling

method ID: attentivepooling

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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms

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AbstractIn NLP, convolutional neural networks (CNNs) have benefited less than recurrent neural networks (RNNs) from attention mechanisms. We hypothesize that this is because the attention in CNNs has been mainly …...

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Attentive Pooling with Learnable Norms for Text Representation

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AbstractPooling is an important technique for learning text representations in many neural NLP models. In conventional pooling methods such as average, max and attentive pooling, text representations are weighted summations …...

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