Emotion Detection on EC (test)
74.13Weighted-F1 ScoreKET_StdAttn
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KET_StdAttnAttention=Standard graph attention2019.09 | 74.13 | — | |
| DialogueRNNNumber of Speakers=22019.09 | 74.05 | — | |
| KETAttention=Dynamic context-aware affective graph attention2019.09 | 73.48 | — | |
| KET_SingleSelfAttnAttention=Single self-attention layer2019.09 | 72.85 | — | |
| CNN+cLSTMArchitecture=CNN for features + cLSTM for context2019.09 | 72.62 | — | |
| CNNContext=Utterance-level without context2019.09 | 70.56 | — | |
| BERT_BASEMax Tokens=1002019.09 | 69.46 | — | |
| cLSTM2019.09 | 69.13 | — |