In particular, feed-forward CNNs with word embedding have been proven to be a relatively simple yet powerful kind of models for text classification (Kim, 2014).
the reliance on large-scale corpus has been a formidable constraint for deep neural networks (DNNs) based methods due to their numerous parameters.