Experiments show that DSCNN consistently outperforms traditional CNNs, and achieves state-of-the-art results on several sentiment analysis, question type classification and subjectivity classification datasets.
cNN based models, as the second category, utilize convolutional filters to extract local features (Kalchbrenner et al., 2014;Kim, 2014) over embedding matrices consisting of pretrained word vectors.