In multi-turn dialogues, ensuring that the model is able to distinguish among turns is essential, especially when multiple emotion are present in different turns.
in order to understand whether or how MoEL can effectively improve other baselines, learn each emotion, and properly react to them, we conduct three different analyses: model response comparison, listener analysis, and visualization of the emotion distribution p. Model response comparison The top part of Table 4 compares the generated responses from MoEL and the two baselines on two different speaker emotional states.