Recent advances in deep learning techniques demonstrate that the error rate of machine learning models can decrease dramatically when large quantities of labeled data are presented (Krizhevsky et al., 2012).
labeling natural language data has been shown to be expensive, and it has become one of the major bottleneck for advancing natural language understanding techniques (Clarke et al., 2010).