Multiple emotion detection from texts has been previously addressed in (Zhou et al., 2016) which predicted multiple emotions with different intensities based on emotion distribution learning.
to further validate the effectiveness of eventdriven attention components, we compare IRER-EA with two sub-networks based on our architectures.