Dataset #ATER #OTER #EAT #EOT SE14-R  431  618  1,453 1,205  SE14-L  157  264  670  665  SE15-R  133  193 818 578  Compared with the other approaches, RI-NANTE only fails to deliver the best performance on the aspect term extraction part of SE14-L and SE15-R. On SE14-L, DE-CNN performs better.
our approach extracts both aspect terms and opinion terms, while DE-CNN and HAST only focus on aspect terms.