BERT-IL Finetuned

Reported on 2 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 Processing2 results

Sentiment AnalysisonSemEval-2014 Task-4
Restaurant (Acc)· 2020-11-23
86.2
best: 8946 (ABSA-DeBERTa)
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models arXiv:2011.11673
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Restaurant (Acc)· 2020-11-23
86.2
best: 8946 (ABSA-DeBERTa)
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models arXiv:2011.11673