Table 2:

Results for multimodal sentiment analysis on (relatively large scale) CMU-MOSEI with aligned and non-aligned multimodal sequences.

Metric	${\text{Acc}}_7^h$	${\text{Acc}}_2^h$	F1h	MAEl	Corrh
(Word Aligned) CMU-MOSEI Sentiment
EF-LSTM	47.4	78.2	77.9	0.642	0.616
LF-LSTM	48.8	80.6	80.6	0.619	0.659
Graph-MFN (Zadeh et al., 2018b)	45.0	76.9	77.0	0.71	0.54
RAVEN (Wang et al., 2019)	50.0	79.1	79.5	0.614	0.662
MCTN (Pham et al., 2019)	49.6	79.8	80.6	0.609	0.670
MulT (ours)	51.8	82.5	82.3	0.580	0.703
(Unaligned) CMU-MOSEI Sentiment
CTC (Graves et al., 2006) + EF-LSTM	46.3	76.1	75.9	0.680	0.585
LF-LSTM	48.8	77.5	78.2	0.624	0.656
CTC + RAVEN (Wang et al., 2019)	45.5	75.4	75.7	0.664	0.599
CTC + MCTN (Pham et al., 2019)	48.2	79.3	79.7	0.631	0.645
MulT (ours)	50.7	81.6	81.6	0.591	0.694