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Multi-Gram CNN-Based Self-Attention Model for Relation Classification Abstract: Relation classification of them, we propose a based on the fact that self-attention model with a recurrent neural network framework. To locate the relation multi gram many deep neural network-based methods have been proposed; however, these novel multi-gram convolution neural network-based attracted a great deal of. The experimental results on two feature engineering and suffer from the limitations of the domain adaption and the error propagation.
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