ML Research Wiki / Benchmarks / Sentiment Analysis / SLUE

SLUE

Sentiment Analysis Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: Recall (%)

Top Performing Models

Rank Model Paper Recall (%) Date Code
1 W2V2-L-LL60K (pipeline approach, uses LM) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 63.30 2021-11-19 📦 asappresearch/slue-toolkit
2 W2V2-L-LL60K (pipeline approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 63.30 2021-11-19 📦 asappresearch/slue-toolkit
3 W2V2-B-LS960 (pipeline approach, uses LM) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 62.90 2021-11-19 📦 asappresearch/slue-toolkit
4 W2V2-B-LS960 (pipeline approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 61.80 2021-11-19 📦 asappresearch/slue-toolkit
5 W2V2-L-LL60K (e2e approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 48.50 2021-11-19 📦 asappresearch/slue-toolkit
6 HuBERT-B-LS960 (e2e approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 48.00 2021-11-19 📦 asappresearch/slue-toolkit
7 W2V2-B-LS960 (e2e approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 46.60 2021-11-19 📦 asappresearch/slue-toolkit
8 W2V2-B-VP100K (e2e approach) SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech 38.40 2021-11-19 📦 asappresearch/slue-toolkit

All Papers (8)

asappresearch/slue-toolkit
asappresearch/slue-toolkit
asappresearch/slue-toolkit
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asappresearch/slue-toolkit
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