Different from (Zhang et al., 2015), the designed Char-CNN is a fully convolutional network without max-pooling layer to capture better semantic information in character chunk.
we first input one-hot-encoding character sequences to a 1 × 1 convolution layer to enhance the semantic nonlinear representation ability of our model (Long et al., 2015), and the output is then fed into a multi-gram (i.e.