As the frequency of our label data is similar to a longtailed distribution and the data are organized by descending order of label frequency, the Seq2Seq model is inclined to model the distribution.
our model can generate semantic unit representations from the information at phrase level with small dilation rates and those at sentence level with large dilation rates.