Metric: F1 (higher is better)
| # | Model↕ | F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Bi-LSTM seq2seq: BERT + characters in 1 encoder | 88.3 | No | Character-level Representations Improve DRS-base... | 2020-11-09 | Code |
| 2 | Transformer seq2seq | 87.1 | No | - | - | - |
| 3 | Character-level bi-LSTM seq2seq + linguistic features | 86.8 | No | - | - | - |
| 4 | Character-level bi-LSTM seq2seq | 83.3 | No | Exploring Neural Methods for Parsing Discourse R... | 2018-10-30 | Code |
| 5 | Neural graph-based system using DAG-grammars | 76.4 | No | Semantic Graph Parsing with Recurrent Neural Net... | 2019-09-30 | - |
| 6 | Transition-based Stack-LSTM | 74.4 | No | - | - | - |