Experiments on three dialogue emotion datasets, IEMOCAP, Friends, and Emo-tionPush demonstrate that our proposed Hi-GRU models attain at least 8.7%, 7.5%, 6.0% improvement over the state-of-the-art methods on each dataset, respectively.
by utilizing only the textual feature in IEMO-CAP, our HiGRU models gain at least 3.8% improvement over the state-of-the-art conversational memory network (CMN) with the trimodal features of text, video, and audio.