SILICONE Benchmark (SILICONE)
Introduced by Chapuis et al. in Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
The Sequence labellIng evaLuatIon benChmark fOr spoken laNguagE (SILICONE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems specifically designed for spoken language. All datasets are in the English language and covers a large variety of domains (e.g daily life, scripted scenarios, joint task completion, phone call conversations, and televsion dialogue). Some datasets additionally include emotion and/or sentiment labels.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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SILICONE Benchmark
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Pretrained Hierarchical Transformer
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Papers
| Paper | Code | Results | Date | Stars |
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Dataset Loaders
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