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Models/AEN-GloVe

AEN-GloVe

Reported on 7 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing7 results

Sentiment AnalysisonTwitter
Accuracy· 2019-02-25
72.83
best: 74.71 (AEN-BERT)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Sentiment AnalysisonSemEval-2014 Task-4
Laptop (Acc)· 2019-02-25
73.51
best: 8276 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Sentiment AnalysisonSemEval-2014 Task-4
Mean Acc (Restaurant + Laptop)· 2019-02-25
77.25
best: 8611 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Sentiment AnalysisonSemEval-2014 Task-4
Restaurant (Acc)· 2019-02-25
80.98
best: 8946 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Laptop (Acc)· 2019-02-25
73.51
best: 8276 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Mean Acc (Restaurant + Laptop)· 2019-02-25
77.25
best: 8611 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Restaurant (Acc)· 2019-02-25
80.98
best: 8946 (ABSA-DeBERTa)
Attentional Encoder Network for Targeted Sentiment Classification arXiv:1902.09314