Dependency Parsing on CoNLL Japanese 2009 (test)
94.02UASNeuroMST
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NeuroMST2018.05 | 94.02 | 92.6 | |
| BIAF2018.05 | 93.95 | 92.46 | |
| Best Published2018.05 | 93.8 | — | |
| A'16 + pre-trainingPre-training=true, Beam size=12016.03 | 93.71 | 92.85 | |
| A'16-beamBeam size=>12016.03 | 93.65 | 92.84 | |
| Arc-hybrid, dyn. + PPTransition system=Arc-hybrid, Oracle=Dynamic (α=0.75), Pseudo-projective (PP)=true, Pre-training=false2016.03 | 93.47 | 92.7 | |
| Bi-Att2018.05 | 93.44 | 90.67 | |
| STACKPTRbeam size=102018.05 | 93.38 | 91.92 | |
| Arc-standard, static + PPTransition system=Arc-standard, Oracle=Static, Pseudo-projective (PP)=true, Pre-training=false2016.03 | 93.1 | 92.28 |