Amr Parsing On Ldc2014T12 1
평가 지표
F1 Full
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | F1 Full | Paper Title | Repository |
|---|---|---|---|
| MT-Based | 66 | - | - |
| Improved CAMR | 68.1 | Getting the Most out of AMR Parsing | - |
| stack-Transformer + self-learning (IBM) | 78.2 | Pushing the Limits of AMR Parsing with Self-Learning | |
| Imitation learning | - | - | - |
| AMR Parsing via Graph-Sequence Iterative Inference | 75.4 | AMR Parsing via Graph-Sequence Iterative Inference | |
| Transition-based transducer | 66 | - | - |
| Transition-based parser-Stack-LSTM | 63 | AMR Parsing using Stack-LSTMs | - |
| Broad-Coverage Semantic Parsing as Transduction | 71.3 | Broad-Coverage Semantic Parsing as Transduction | - |
| Transition-based+improved aligner+ensemble | 68.4 | An AMR Aligner Tuned by Transition-based Parser | |
| Two-stage Sequence-to-Graph Transducer | 70.2 | AMR Parsing as Sequence-to-Graph Transduction | |
| Incremental joint model | 66 | - | - |
| APT (IBM) | 78.5 | AMR Parsing with Action-Pointer Transformer |
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