Semantic Role Labeling on CoNLL shared-task 2009 (test)
85.4Precisionk order pruning+Glyce
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| k order pruning+GlyceEmbeddings=Glyce, Backbone=k-order pruning algorithm2019.01 | 85.4 | 82.1 | 83.7 | |
| Marcheggiani and Diego2019.01 | 84.6 | 80.4 | 82.5 | |
| He et al.Backbone=k-order pruning algorithm2019.01 | 84.2 | 81.5 | 82.8 | |
| Roth and Lapata2019.01 | 76.9 | 73.8 | 75.3 |