d  Experiments on two benchmark data sets, the Stanford Sentiment Treebank BIBREF7 and the AG English news corpus BIBREF3 , show that 1) our method achieves very competitive accuracy, 2) some views distinguish themselves from others by better categorizing specific classes, and 3) when our base bag-of-words feature set is augmented with convolutional features, the method establishes a new state-of-the-art for both data sets.  Stanford Sentiment Treebank  AG English news corpus  
 Question: which benchmark tasks did they experiment on?
 They used Stanford Sentiment Treebank benchmark for sentiment classification task and   AG English news corpus for the text classification task.