TextRNN
Reported on 3 benchmarks across 2 tasks · 2 papers · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Audio2 results
- Macro-F1 of Sentiment· 2016-05-17SOTA37.07best: 48.02 (BERT+AVG+MLP)
- Accuracy of Sentiment· 2016-05-1747.89best: 51.5 (BERT+AVG+MLP)
Natural Language Processing1 result
- Accuracy· 2021-01-07SOTA92.4