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End-to-end Convolutional Neural Networks for Intent Detection

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Figure

Table 2. The number of intents in the training data of ATIS.
Figure 3. End-to-end CNN structure for intent detection task. f, d, and s are the number of the  filters, length of the filters and stride, respectively
Figure  4  shows  the  confusion matrix of the proposed model using GloVe  pretrained  vectors on ATIS dataset
Figure 5. Confusion matrix of Snips test dataset by using GloVe pretrained vectors.

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