Unsupervised Online Multitask Learning of Behavioral Sentence Embeddings
TABLE III: Weighted Accuracy of Emotion Recognition on IEMOCAP
['Method', 'WA (%)']
It should be noted that there is no consensus on data split and evaluation conditions in IEMOCAP, and while we made every effort to be consistent with other works the results may not be directly comparable. However, when comparing among our implementation using sentence embeddings we observed that online MTL improved the weighted accuracy (WA) of unsupervised embeddings by an absolute value of 8.02% which is more than 14% relative improvement. The highest accuracy was obtained using embeddings from the Universal Sentence Encoder, however our implementation was a close second by less than one percent.