Furthermore, for the English dataset, our proposed model has balance performance in precision and recall.
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.