BCN+Char+CoVe

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

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

Natural Language Processing3 results

Sentiment AnalysisonSST-5 Fine-grained classification
Accuracy· 2017-08-01
53.7
best: 62.27 (Llama-3.3-70B + CAPO)
SOTA
Learned in Translation: Contextualized Word Vectors arXiv:1708.00107
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2017-08-01
90.3
best: 97.5 (T5-11B)
Learned in Translation: Contextualized Word Vectors arXiv:1708.00107
Sentiment AnalysisonIMDb
Accuracy· 2017-08-01
91.8
best: 96.68 (RoBERTa-large with LlamBERT)
Learned in Translation: Contextualized Word Vectors arXiv:1708.00107