BERT-pair-QA-M

Reported on 4 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 Processing4 results

Sentiment AnalysisonSentihood
Sentiment· 2019-03-22
93.6
SOTA
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence arXiv:1903.09588
Aspect-Based Sentiment Analysis (ABSA)onSentihood
Sentiment· 2019-03-22
93.6
SOTA
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence arXiv:1903.09588
Sentiment AnalysisonSentihood
Aspect· 2019-03-22
86.4
best: 87.9 (BERT-pair-QA-B)
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence arXiv:1903.09588
Aspect-Based Sentiment Analysis (ABSA)onSentihood
Aspect· 2019-03-22
86.4
best: 87.9 (BERT-pair-QA-B)
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence arXiv:1903.09588