AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification

7 Nov 2016 Depeng Liang Yongdong Zhang

Recently deeplearning models have been shown to be capable of making remarkable performance in sentences and documents classification tasks. In this work, we propose a novel framework called AC-BLSTM for modeling sentences and documents, which combines the asymmetric convolution neural network (ACNN) with the Bidirectional Long Short-Term Memory network (BLSTM)... (read more)

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