Segmented Multimodal Named Entity Recognition on Twitter-SMNER
63.88PrecisionRiVEG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RiVEGBackbone=XLM-R, Data Augmentation=true2024.06 | 63.88 | 63.96 | 63.92 | |
| RiVEGBackbone=XLM-R, Data Augmentation=false2024.06 | 62.1 | 63.61 | 62.85 | |
| RiVEGBackbone=BERT, Data Augmentation=true2024.06 | 62.08 | 63.86 | 62.95 | |
| RiVEGBackbone=BERT, Data Augmentation=false2024.06 | 61.09 | 60.66 | 60.88 | |
| H-Index2024.06 | 54.24 | 54.82 | 54.53 | |
| BARTMNER-VinVL-EVGBackbone=BARTMNER-VinVL-EVG2024.06 | 50.52 | 50.22 | 50.37 | |
| ITA-VinVL-EVGBackbone=ITA-VinVL-EVG2024.06 | 50.09 | 48.43 | 49.25 |