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Very Deep Convolutional Networks for Text Classification

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Figure

Figure 1: VDCNN architecture.
Table 2: Number of conv. layers per depth.
Table 3: Large-scale text classification data sets used in our experiments. See (Zhang et al., 2015) for adetailed description.
Table 4: Best published results from previous work. Zhang et al. (2015) best results use a Thesaurus dataaugmentation technique (marked with an∗  )
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