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. 2022 Jul 19;8:e1044. doi: 10.7717/peerj-cs.1044

Table 9. Application of deep learning for multi-task ABSA.

No Model Dataset Pair-F1 (%) Triplet-F1 (%) Quadruple-F1 (%)
1 KHW (Peng et al., 2020) SemEval14 Restaurant 56.10 51.89
SemEval14 Laptop 53.85 43.50
SemEval15 Restaurant 56.23 46.79
SemEval16 Restaurant 60.04 53.62
2 OTE-MTL (Zhang et al., 2020) SemEval14 Restaurant 59.67
SemEval15 Restaurant 48.97
SemEval16 Restaurant 55.83
SemEval14 Laptop 45.05
3 S3E2 (Chen et al., 2021b) SemEval14 Restaurant 66.74
SemEval14 Laptop 52.01
SemEval15 Restaurant 58.66
SemEval16 Restaurant 66.87
4 Double-Propagation-ACOS (Cai, Xia & Yu, 2021) Restaurant-ACOS 21.04
Laptop-ACOS 8
JET-ACOS (Cai, Xia & Yu, 2021) Restaurant-ACOS 39.01
Laptop-ACOS 23.81
TAS-BERT-ACOS (Cai, Xia & Yu, 2021) Restaurant-ACOS 33.53
Laptop-ACOS 27.31
Extract-Classify-ACOS (Cai, Xia & Yu, 2021) Restaurant-ACOS 44.61
Laptop-ACOS 35.80
5 BARTABSA (Yan et al., 2021) SemEval14 Restaurant 77.68 72.46
SemEval14 Laptop 66.11 57.59
SemEval15 Restaurant 67.98 60.11
SemEval16 Restaurant 77.38 69.98
SemEval14 Restaurant 65.25
SemEval14 Laptop 58.69
SemEval15 Restaurant 59.26
SemEval16 Restaurant 67.62
6 Dual-MRC (Mao et al., 2021) SemEval14 Restaurant 74.93 70.32
SemEval14 Laptop 63.37 55.58
SemEval15 Restaurant 64.97 57.21
SemEval16 Restaurant 75.71 67.40
7 BMRC (Chen et al., 2021a) SemEval14 Laptop 67.45 59.27
SemEval14 Restaurant 76.23 70.69
SemEval15 Restaurant 68.60 61.05
SemEval16 Restaurant 76.52 68.13
8 PARAPHRASE (Zhang et al., 2021) SemEval15 Restaurant 46.93
SemEval16 Restaurant 57.93