dependency features 0.00403141
dependency feature 0.00379326
model feature 0.00346799
dependency parser 0.0033094
dependency parsing 0.00327297
parsing model 0.0029477
other features 0.00277838
dependency tree 0.002777021
dependency accuracy 0.002624209
same features 0.002507592
different feature 0.002467442
order dependency 0.002457144
such features 0.002430684
dependency fea 0.002383352
language model 0.002380568
local features 0.0023472289999999997
labelled dependency 0.002341114
dependency pars 0.0023384260000000002
dependency relations 0.0023252050000000003
unlabelled dependency 0.002319611
dependency recovery 0.0023191080000000003
dependency extractor 0.002316981
dency features 0.0022967739999999997
feature function 0.0022889440000000002
feature set 0.002275815
pendency features 0.0022653779999999997
model score 0.0022500280000000003
score feature 0.002241678
boolean features 0.002222436
φdeps features 0.002222436
similar feature 0.002217372
parser training 0.0022007479999999998
feature sets 0.002143446
training data 0.002126858
model wsj 0.002097923
single feature 0.002095047
model pairs 0.002083903
model combination 0.002073894
discriminative model 0.002071278
dependency 0.00206344
dency feature 0.002058624
generative model 0.0020543230000000003
key model 0.002051549
type model 0.002048613
linear model 0.00203486
tive model 0.002012882
feature class 0.002011287
scale feature 0.002005319
model combinations 0.001995579
deps model 0.001993962
model φphrase 0.001993905
ultimate model 0.001992143
model combi 0.001992143
parsing models 0.001991972
φgen feature 0.001984043
features 0.00196797
parser performance 0.001904156
head phrase 0.001815497
model 0.00173817
feature 0.00172982
same data 0.0017116920000000001
structure parser 0.0016782149999999998
head word 0.001648097
stage parser 0.001583354
discriminative parser 0.0015790679999999999
data brown 0.001578605
brown data 0.001578605
generative parser 0.001562113
las phrase 0.001538553
fast parser 0.001501081
training set 0.0015007829999999999
constituency parsing 0.00147523
native parsing 0.0014660709999999998
pcfg parsing 0.0014633099999999998
gen phrase 0.0014567489999999998
deps phrase 0.0014526819999999998
modern phrase 0.0014511849999999998
first word 0.0014335150000000002
training strategy 0.0013761000000000001
decoding algorithm 0.001331188
training stage 0.001292182
parser 0.00124596
training material 0.0012141180000000001
training strat 0.0012096160000000002
parsing 0.00120953
various models 0.001196918
phrase 0.00119689
parse accuracy 0.001128516
other hand 0.001074881
decoding experiments 0.001073982
machine translation 0.001056694
relative performance 0.0010563
combined models 0.0010549609999999999
structure parsers 0.001046607
domain test 0.0010299509999999999
test set 0.001002157
tree struc 9.97613E-4
decoding framework 9.837140000000001E-4
cube decoding 9.77753E-4
minimal tree 9.75992E-4
