| Paper | Code | Accuracy (%) | Macro-F1 | Accuracy of Neurotism | Accuracy of Extraversion | Accuracy of Openness | Accuracy of Agreeableness | Accuracy of Conscientiousness | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|---|---|---|
| CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | ✓ Link | 67.25 | 74.08 | 53.27 | 78.21 | 55.42 | 85.89 | 63.48 | BERT$_{ssenet}^{c}$ | 2022-05-29 |
| CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | ✓ Link | 67.23 | 72.93 | 50.75 | 78.08 | 57.93 | 85.76 | 63.60 | BERT$^{s}$ | 2022-05-29 |
| CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | ✓ Link | 66.32 | 72.69 | 55.29 | 78.08 | 53.90 | 80.98 | 63.35 | BERT$^{c}$ | 2022-05-29 |
| CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | ✓ Link | 66.02 | 71.89 | 53.4 | 77.71 | 55.42 | 81.99 | 61.59 | BERT$_{senet}^{c}$ | 2022-05-29 |