Taking m × n matrix as input, a convolutional filter with the kernel size of h × n will be applied, in which 1 ≤ h < m. Because the value of n is fixed, the filter acts as a sliding window which moves only vertically and works with every h continuous words within the sample.
a feature map with m − h + 1 elements will be generated.