model features 0.00417059
features model 0.00417059
features models 0.003331593
edge features 0.003114431
parsing model 0.00307033
dependency parsing 0.00288673
lexicalized features 0.002769176
reranker features 0.0026784770000000003
structural features 0.0026678910000000004
dependency tree 0.0026658899999999998
composite features 0.002653416
features our 0.0026498140000000003
above features 0.002646874
features mod 0.002632504
cludes features 0.002625188
edge feature 0.002607991
feature set 0.0025653530000000003
training data 0.00247499
same feature 0.002400822
dependency edges 0.002399567
model language 0.00237334
features 0.00235649
single feature 0.002304269
dependency accuracy 0.0022428
dependency parse 0.002222821
dependency trees 0.002197522
current model 0.0021823899999999998
feature values 0.002174923
feature parameters 0.002170688
feature representations 0.002161377
reranker model 0.002136087
generative model 0.002135022
model parameters 0.0021347379999999997
optimal model 0.002130713
reranking model 0.00212745
impoverished feature 0.002118109
labeling model 0.002104626
dependency graph 0.002028415
training set 0.002000653
dependency nodes 0.001965233
dependency treebanks 0.0019415370000000001
same parser 0.0019403620000000002
dependency labels 0.001923057
dependency links 0.001922689
dependency pars 0.001910585
error training 0.001904709
solute dependency 0.001898072
mst parser 0.00185473
feature 0.00185005
model 0.0018141
mst training 0.00175049
mst parsing 0.00172137
conditional training 0.001720168
training techniques 0.0017124290000000001
constituency parser 0.001690265
parser description 0.001689669
evaluation data 0.001687831
parsing techniques 0.001683309
ing data 0.001671851
entire training 0.0016521539999999999
training technique 0.001634669
dependency 0.0016305
training procedures 0.001572779
labeler training 0.001557984
training mcdonald 0.0015563460000000001
multilingual parsing 0.001555755
training proce 0.00155335
tree structure 0.001539009
tree problem 0.001488969
reranked data 0.0014810490000000001
unlabeled tree 0.001473191
mst models 0.001440243
global tree 0.001436769
correct tree 0.0014224049999999999
spanning tree 0.001402937
parser 0.00138959
recent results 0.001374175
test set 0.001361454
tree construction 0.00134569
tree normalization 0.001329145
tree hypotheses 0.0013128369999999999
same edge 0.001308713
tree labeler 0.001308024
reranking models 0.001288453
training 0.00128535
discriminative models 0.001283693
factored models 0.001268974
parsing 0.00125623
word order 0.001238931
evaluation set 0.001213494
possible accuracy 0.001194749
oracle results 0.0011834290000000002
reranking results 0.001166276
parse trees 0.0011593430000000002
accuracy new 0.001127687
individual edges 0.001120998
recent work 0.0011120639999999998
previous work 0.001107069
second set 0.001103116
rich set 0.001061196
