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Ucca Parsing On Conll 2019
评估指标
Full MRP F1
Full UCCA F1
LPP MRP F1
LPP UCCA F1
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | |||||
|---|---|---|---|---|---|
| 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) | 77.7 | 57.4 | 82.2 | 65.9 | TUPA at MRP 2019: A Multi-Task Baseline System |
| Transition-based (+BERT + MTL) | 64.1 | 35.6 | 73.1 | 50.3 | TUPA at MRP 2019: A Multi-Task Baseline System |
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