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Models/LEGO-ABSA (multi-task)

LEGO-ABSA (multi-task)

Reported on 16 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing16 results

  • Sentiment AnalysisonTASD
    F1 (R15)· uses extra data
    62.3
    best: 64.74 (MvP (multi-task))
  • Sentiment AnalysisonTASD
    F1 (R16)· uses extra data
    71.8
    best: 72.76 (MvP)
  • Sentiment AnalysisonASTE
    F1 (L14)· uses extra data
    62.2
    best: 65.3 (MvP (multi-task))
  • Sentiment AnalysisonASTE
    F1 (R15)· uses extra data
    64.4
    best: 72.1 (ASTE-Transformer)
  • Sentiment AnalysisonASTE
    F1 (R16)· uses extra data
    69.9
    best: 76.19 (ASTE-Transformer)
  • Sentiment AnalysisonASTE
    F1(R14)· uses extra data
    73.7
    best: 76.3 (MvP (multi-task))
  • Sentiment AnalysisonASQP
    F1 (R15)· uses extra data
    46.1
    best: 52.21 (MvP (multi-task))
  • Sentiment AnalysisonASQP
    F1 (R16)· uses extra data
    57.6
    best: 60.88 (AugABSA)
  • Aspect-Based Sentiment Analysis (ABSA)onTASD
    F1 (R15)· uses extra data
    62.3
    best: 64.74 (MvP (multi-task))
  • Aspect-Based Sentiment Analysis (ABSA)onTASD
    F1 (R16)· uses extra data
    71.8
    best: 72.76 (MvP)
  • Aspect-Based Sentiment Analysis (ABSA)onASTE
    F1 (L14)· uses extra data
    62.2
    best: 65.3 (MvP (multi-task))
  • Aspect-Based Sentiment Analysis (ABSA)onASTE
    F1 (R15)· uses extra data
    64.4
    best: 72.1 (ASTE-Transformer)
  • Aspect-Based Sentiment Analysis (ABSA)onASTE
    F1 (R16)· uses extra data
    69.9
    best: 76.19 (ASTE-Transformer)
  • Aspect-Based Sentiment Analysis (ABSA)onASTE
    F1(R14)· uses extra data
    73.7
    best: 76.3 (MvP (multi-task))
  • Aspect-Based Sentiment Analysis (ABSA)onASQP
    F1 (R15)· uses extra data
    46.1
    best: 52.21 (MvP (multi-task))
  • Aspect-Based Sentiment Analysis (ABSA)onASQP
    F1 (R16)· uses extra data
    57.6
    best: 60.88 (AugABSA)