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Models/RoBERTa+MLP

RoBERTa+MLP

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Natural Language Processing6 results

  • Sentiment AnalysisonSemEval-2014 Task-4
    Laptop (Acc)· 2021-04-11
    83.78
    best: 8276 (ABSA-DeBERTa)
    SOTA
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986
  • Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
    Laptop (Acc)· 2021-04-11
    83.78
    best: 8276 (ABSA-DeBERTa)
    SOTA
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986
  • Sentiment AnalysisonSemEval-2014 Task-4
    Mean Acc (Restaurant + Laptop)· 2021-04-11
    85.58
    best: 8611 (ABSA-DeBERTa)
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986
  • Sentiment AnalysisonSemEval-2014 Task-4
    Restaurant (Acc)· 2021-04-11
    87.37
    best: 8946 (ABSA-DeBERTa)
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986
  • Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
    Mean Acc (Restaurant + Laptop)· 2021-04-11
    85.58
    best: 8611 (ABSA-DeBERTa)
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986
  • Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
    Restaurant (Acc)· 2021-04-11
    87.37
    best: 8946 (ABSA-DeBERTa)
    Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTaarXiv:2104.04986