In recent years, increasing works transfer CNNs to natural language processing tasks, such as representation learning (Liu et al., 2015), information retrieval (Shen et al., 2014), text classification (Kalchbrenner et al., 2014), etc.
feed-forward CNNs with word embedding have been proven to be a relatively simple yet powerful kind of models for text classification (Kim, 2014).