AMR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| AMR Parsing | LDC2017T10 AMR 2.0 (test) | Smatch86.26 | 168 | |
| AMR parsing | AMR 3.0 (test) | SMATCH86.5 | 45 | |
| AMR Parsing | AMR 1.0 (test) | Smatch81.7 | 45 | |
| AMR Parsing | AMR 1.0 LDC2014T12 (test) | SMATCH F175.4 | 23 | |
| AMR-to-text | LDC2017T10 AMR17 (test) | chrF++74.79 | 17 | |
| Cross-lingual AMR Parsing | AMR Italian (IT) human-translated 2.0 (test) | Smatch Score76.7 | 15 | |
| Cross-lingual AMR Parsing | AMR Spanish (ES) human-translated 2.0 (test) | Smatch Score77.1 | 15 | |
| Cross-lingual AMR Parsing | AMR German (DE) human-translated 2.0 (test) | Smatch0.746 | 15 | |
| AMR Parsing | AMR 3.0 LDC2020T02 (test) | Smatch Labeled84.2 | 14 | |
| Cross-lingual AMR Parsing | AMR Chinese (ZH) human-translated 2.0 (test) | Smatch64 | 13 | |
| AMR-to-text generation | AMR 2.0 (test) | BLEU49.8 | 10 | |
| AMR-to-text generation | AMR 3.0 (test) | BLEU49.2 | 5 | |
| Graph-to-text generation | AMR (Human Evaluation) | Fluency6.7 | 5 |
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