MELD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Emotion Recognition in Conversation | MELD | Weighted Avg F169.15 | 137 | |
| Emotion Recognition in Conversation | MELD (test) | Weighted F169.83 | 118 | |
| Multimodal Emotion Recognition in Conversation | MELD standard (test) | WF166.71 | 38 | |
| Emotion Detection | MELD (test) | Weighted-F10.699 | 32 | |
| Emotion Recognition | MELD (test) | W-Avg F1 (7-cls)66.52 | 26 | |
| Emotion Recognition in Conversation | MELD Standard (test) | Weighted F169.15 | 19 | |
| Speech Emotion Recognition | MELD | Accuracy63.5 | 19 | |
| Emotion Recognition in Conversation | MELD 1.0 (test) | Weighted F165.61 | 17 | |
| Sentiment Classification | MELD (test) | Accuracy68.5 | 15 | |
| Speech Emotion Recognition | MELD In-Domain v1 (test) | Accuracy54.06 | 14 | |
| Emotion Recognition | MELD | UACC64.34 | 12 | |
| Multimodal Emotion Recognition in Conversation | MELD | Neutral Accuracy79.8 | 12 | |
| Conversational Emotion Recognition | MELD (test) | Macro F1 Score61.9 | 12 | |
| Emotion Recognition | MELD (held-out) | F1 Score71.1 | 8 | |
| Activation Task | Meld-S | AUAC63.5 | 8 | |
| Emotion Recognition in Conversation | MELD | Average Accuracy64 | 8 | |
| Sentiment Analysis (SEN) | MELD S | F1 (Binary Weighted)78.5 | 7 | |
| Emotion Recognition (EMO) | MELD E | Mean Weighted Accuracy71.1 | 7 | |
| Emotion Recognition in Conversation | MELD | F1 (Neutral)76.92 | 7 | |
| Multi-modal Sentiment Analysis Classification (MSAC) | MELD | Neutral Accuracy0.8005 | 7 | |
| Multimodal semantics discovery | MELD-DA (test) | NMI23.22 | 6 | |
| Dialogue Act Classification | MELD-DA (test) | Acc61.75 | 4 | |
| Empathetic response generation | MELD | ROUGE-L9.9 | 3 | |
| Empathetic Dialogue Generation | MELD (test) | Accuracy21.89 | 3 | |
| Text Classification | MELD (test) | Macro F149.51 | 2 |
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