Very deep CNN architectures were proposed based on character level features (Zhang et al., 2015) and word level features (Conneau et al., 2016) which significantly improved the performance in text classification.
we find max pooling to be very arbitrary in selection of crucial features and hence contributing minimal to the overall task.