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Update semantic_parsing.md #395

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6 changes: 4 additions & 2 deletions english/semantic_parsing.md
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Expand Up @@ -34,7 +34,8 @@ Models are evaluated on the newswire section and the full dataset based on [smat

| Model | F1 Newswire | F1 Full | Paper / Source |
| ------------- | :-----:| :-----:| --- |
| Two-stage Sequence-to-Graph Transducer (Zhang et al., 2019)♥ | -- | 70.2 | [AMR Parsing as Sequence-to-Graph Transduction](https://arxiv.org/abs/1905.08704) |
| Broad-Coverage Semantic Parsing as Transduction (Zhang et al., 2019)♥ | -- | 71.3 | [Broad-Coverage Semantic Parsing as Transduction](https://www.aclweb.org/anthology/D19-1392.pdf) |
| Two-stage Sequence-to-Graph Transducer (Zhang et al., 2019)♥ | -- | 70.2 | [AMR Parsing as Sequence-to-Graph Transduction](https://www.aclweb.org/anthology/P19-1009.pdf) |
| Transition-based+improved aligner+ensemble (Liu et al. 2018)♥ | 73.3 | 68.4 | [An AMR Aligner Tuned by Transition-based Parser](http://aclweb.org/anthology/D18-1264) |
| Improved CAMR (Wang and Xue, 2017)♠♦ | --| 68.1| [Getting the Most out of AMR Parsing](http://aclweb.org/anthology/D17-1129) |
| Incremental joint model (Zhou et al., 2016)♥♠ | 71 | 66 | [AMR Parsing with an Incremental Joint Model](https://aclweb.org/anthology/D16-1065) |
Expand Down Expand Up @@ -65,7 +66,8 @@ Results are computed over 8 runs. Models are evaluated based on [smatch](https:/

| Model | Smatch | Paper / Source |
| ------------- | :-----:| --- |
| Two-stage Sequence-to-Graph Transducer (Zhang et al., 2019)♥ | 76.3 | [AMR Parsing as Sequence-to-Graph Transduction](https://arxiv.org/abs/1905.08704) |
| Broad-Coverage Semantic Parsing as Transduction (Zhang et al., 2019)♥ | 77.0 | [Broad-Coverage Semantic Parsing as Transduction](https://www.aclweb.org/anthology/D19-1392.pdf) |
| Two-stage Sequence-to-Graph Transducer (Zhang et al., 2019)♥ | 76.3 | [AMR Parsing as Sequence-to-Graph Transduction](https://www.aclweb.org/anthology/P19-1009.pdf) |
| Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning (Naseem et al., 2019)♥♠♦ | 75.5 | [Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning](https://arxiv.org/pdf/1905.13370) |
| Joint model (Lyu and Titov, 2018)♥♠ | 74.4 | [AMR Parsing as Graph Prediction with Latent Alignment](https://arxiv.org/abs/1805.05286) |
| Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning (Naseem et al., 2019); | 73.4 | [Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning](https://arxiv.org/pdf/1905.13370) |
Expand Down