The obvious promotion of BCN+LVG4 and BCN+LVeG shows that explicitly modeling sentiment composition with fine-grained sentiment subtypes is useful.
bCN+LVeG improves the sentence level classification accurracies by 1.4 points (fine-grained) and 0.7 points (binary) compared to bCN (our implementation), respectively.