One possible reason is that a total of eight dialogic features were added to the model, and some of them might contain noises and therefore caused the model to overfit.
using predicted sentiment information as an extra feature, which is a more condensed information, outperformed the other models both in terms of turn-level F-1 score and dialog accuracy which indicates if all turns in a dialog are correct.