The improvement is significant with p-value less than 0.001 in one sample t-test.
rHNN manages to boost the performance by 3.06% in F-measure compared to Lamb-daMArT, which exhibits that by restraining the parameters with knowledge-based regularizations, rHNN is better to identify the emotion cause cues than feature engineering.