CNN-non-static 1 (short for CNN) proposed by Kim (2014) is used as our baseline, which consists of one embedding layer, one convolutional layer, one max pooling layer, and one fully connected layer.
in fields like computer vision, features extracted by filters are more difficult to interpret.