The outputs of two gates are element-wisely multiplied for the max pooling layer.
gated Tanh-ReLU Units (gTRU) with aspect embedding are connected to two convolutional neurons at each position t. we compute the features c i as where v a is the embedding vector of the given aspect category in ACSA or computed by another CNN over aspect terms in ATSA.