Skip to Main Content
Table 6 
Accuracies of the graph merging–based parser on development set. A first-order graph-based parser with a neural disambiguation model is used for tree parsing.
  UPURUFUCMLPLRLFLCM
SM Subgraph1 89.66 78.81 83.88 19.13 87.40 76.82 81.77 17.25 
Subgraph2 89.04 81.31 85.00 19.52 86.82 79.29 82.88 16.97 
Subgraph3 90.50 81.24 85.62 20.20 88.38 79.33 83.61 17.88 
  Merged 84.01 90.70 87.23 23.72 81.70 88.20 84.83 20.60 
  
LR Subgraph1 91.18 79.90 85.17 20.72 88.80 77.82 82.95 18.39 
Subgraph2 90.45 82.29 86.17 20.72 88.16 80.20 83.99 18.16 
Subgraph3 91.29 81.91 86.35 20.66 89.11 79.95 84.28 17.93 
  Merged 88.75 87.96 88.36 29.34 86.43 85.66 86.05 25.09 
  UPURUFUCMLPLRLFLCM
SM Subgraph1 89.66 78.81 83.88 19.13 87.40 76.82 81.77 17.25 
Subgraph2 89.04 81.31 85.00 19.52 86.82 79.29 82.88 16.97 
Subgraph3 90.50 81.24 85.62 20.20 88.38 79.33 83.61 17.88 
  Merged 84.01 90.70 87.23 23.72 81.70 88.20 84.83 20.60 
  
LR Subgraph1 91.18 79.90 85.17 20.72 88.80 77.82 82.95 18.39 
Subgraph2 90.45 82.29 86.17 20.72 88.16 80.20 83.99 18.16 
Subgraph3 91.29 81.91 86.35 20.66 89.11 79.95 84.28 17.93 
  Merged 88.75 87.96 88.36 29.34 86.43 85.66 86.05 25.09 
Close Modal

or Create an Account

Close Modal
Close Modal