Thus the filters of CNNs for text typically differ from their counterparts designed for images.
in text, the width of the filter is usually equal to the dimension of the embedding, as illustrated with the red, yellow, blue and green filters in figure 1 Using CNNs has another advantage in our context: due to the convolution operators involved, they can be easily parallelized and may also be easily used by the CPU, which is a practical solution for avoiding the use of GPUs at test time.