Ucca Parsing On Conll 2019
Métriques
Full MRP F1
Full UCCA F1
LPP MRP F1
LPP UCCA F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Full MRP F1 | Full UCCA F1 | LPP MRP F1 | LPP UCCA F1 | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Transition-based (+BERT + Efficient Training + Effective Encoding) | 81.7 | 66.7 | 82.6 | 64.4 | HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding | - |
| Transition-based (+BERT + MTL) | 64.1 | 35.6 | 73.1 | 50.3 | TUPA at MRP 2019: A Multi-Task Baseline System | - |
| Transition-based (+BERT) | 77.7 | 57.4 | 82.2 | 65.9 | TUPA at MRP 2019: A Multi-Task Baseline System | - |
0 of 3 row(s) selected.