dependency parsing 0.0040418
dependency parser 0.0033898899999999996
parsing model 0.00331634
dependency tree 0.003059883
dependency treebank 0.002917233
dependency accuracy 0.0028869969999999997
dependency trees 0.0027100609999999997
unlabeled dependency 0.00270742
discriminative dependency 0.0026126559999999997
tive dependency 0.0026065389999999997
criminative dependency 0.0025983729999999997
parsing models 0.002587255
different parsing 0.002422328
dependency 0.00234406
ing model 0.002105396
first word 0.00201192
word cluster 0.001999769
jective parsing 0.001967903
ensemble parsing 0.001967111
discriminative parsing 0.001966336
tive parsing 0.001960219
ual parsing 0.001950375
feature vector 0.001948584
parsing analog 0.001942134
base model 0.001938635
order features 0.0019279129999999998
model parameter 0.001908885
feature set 0.001895571
ensemble model 0.001887971
model parameters 0.001875689
powerful model 0.0018632499999999999
word representation 0.001842511
feature sets 0.0018106440000000001
multiple word 0.00180539
feature mapping 0.001796823
own feature 0.001768805
feature templates 0.001762377
complex features 0.00175637
extended feature 0.00173989
line features 0.001737971
word representations 0.0017309310000000002
word rep 0.001720848
alternate word 0.0017130860000000002
parsing 0.00169774
model 0.0016186
features 0.00148931
feature 0.00148441
data problem 0.001453217
unlabeled data 0.00143921
parser framework 0.001406082
parser output 0.001380916
berkeley parser 0.0013358649999999999
sparse data 0.001325139
learning algorithm 0.001309782
head words 0.001302298
syntactic structure 0.001291987
base models 0.00120955
syntactic cluster 0.0011824539999999999
clustering algorithm 0.001141423
accurate models 0.0011342000000000001
other information 0.001123127
different clustering 0.001083433
tree algorithms 0.00107439
spanning tree 0.00107142
parser 0.00104583
semantic cluster 0.001016901
different ways 0.001013589
penn treebank 0.001007408
syntactic clusters 9.939649999999999E-4
pos tags 9.730870000000001E-4
different clus 9.712669999999999E-4
additional set 9.68567E-4
directed graph 9.54245E-4
split pos 8.96471E-4
models 8.89515E-4
cluster annotation 8.87554E-4
argmax search 8.68787E-4
other clusterings 8.65439E-4
ture work 8.47865E-4
large number 8.44396E-4
semantic clustering 8.401470000000001E-4
semantic clusters 8.284119999999999E-4
first row 8.194049999999999E-4
cluster loss 8.17719E-4
cluster identifier 8.026050000000001E-4
cluster representations 8.0236E-4
ensemble learning 7.96575E-4
discriminative learning 7.957999999999999E-4
cluster labels 7.9484E-4
simple method 7.93434E-4
cluster identifiers 7.91819E-4
capture information 7.91254E-4
cluster identi 7.87445E-4
assigned cluster 7.83071E-4
algorithm 7.82578E-4
part score 7.39736E-4
generative product 7.34199E-4
clustering algorithms 7.17412E-4
linear combination 7.08161E-4
noun phrases 6.94591E-4
