Entity Extraction & Segmentation on Twitter-SMNER
66.75PrecisionRiVEG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RiVEGBackbone=XLM-R, Data Augmentation=true2024.06 | 66.75 | 66.83 | 66.79 | |
| RiVEGBackbone=BERT, Data Augmentation=true2024.06 | 65.04 | 66.91 | 65.96 | |
| RiVEGBackbone=XLM-R, Data Augmentation=false2024.06 | 64.9 | 66.48 | 65.68 | |
| RiVEGBackbone=BERT, Data Augmentation=false2024.06 | 64.18 | 63.73 | 63.96 | |
| H-Index2024.06 | 58.91 | 59.54 | 59.22 | |
| ITA-VinVL-EVGBackbone=ITA-VinVL-EVG2024.06 | 54.17 | 52.38 | 53.26 | |
| BARTMNER-VinVL-EVGBackbone=BARTMNER-VinVL-EVG2024.06 | 53.56 | 53.45 | 53.51 |