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Such importance degree and text\nrepresentation are calculated with multiple computational layers, each of which\nis a neural attention model over an external memory. Experiments on laptop and\nrestaurant datasets demonstrate that our approach performs comparable to\nstate-of-art feature based SVM system, and substantially better than LSTM and\nattention-based LSTM architectures. On both datasets we show that multiple\ncomputational layers could improve the performance. Moreover, our approach is\nalso fast. 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