tree parser 0.00247736
parser training 0.002168924
parser output 0.0019539509999999998
parser performance 0.001854722
feature trees 0.001761584
function tag 0.001741014
abilistic parser 0.0017108639999999999
treebank trees 0.0016937840000000003
function tags 0.001682005
other function 0.0016645980000000002
tree nodes 0.0016543740000000001
treebank function 0.0016516870000000002
test trees 0.001546894
function labels 0.001538561
set trees 0.0015319410000000002
grammatical function 0.001516529
standard trees 0.0014810830000000002
trees output 0.0014746240000000001
parser 0.00146251
empty nodes 0.001461174
gold trees 0.001456444
pos tags 0.0014296719999999999
function annotation 0.001413713
penn trees 0.0013762320000000002
grammatical tag 0.001375371
node features 0.001322069
treebank data 0.001315406
constituency parsing 0.00131172
training data 0.0013112190000000002
raw tree 0.0012861930000000001
constituent trees 0.001285202
constituency trees 0.001282663
structure evaluation 0.001280795
such information 0.0012621
tree configurations 0.0012595100000000001
tree configuration 0.001258039
tree configura 0.001258039
tree transforma 0.001258039
feature dependencies 0.001255978
training set 0.0012551720000000001
function attribute 0.0012402490000000001
dependency format 0.00124002
frequency function 0.0012379560000000001
syntactic information 0.00123795
stituency trees 0.0012263110000000001
dard trees 0.0012263110000000001
head pos 0.001220717
tag assignment 0.001206682
same method 0.0012064509999999999
obj function 0.0012021520000000002
lexical information 0.001194992
matical function 0.0011911790000000001
standard pos 0.001186653
function mistagging 0.001183264
different methods 0.001174631
null tag 0.001172892
same set 0.001148619
machine learning 0.0011434840000000002
evaluation results 0.001140267
tion tag 0.0011340249999999999
such approaches 0.001118421
structure annotation 0.001113135
annotation evaluation 0.001112914
test set 0.001112469
annotation algorithm 0.00110279
different genres 0.0011008390000000002
functional tags 0.0010975120000000001
tag guidelines 0.00108739
context nodes 0.001062666
second method 0.0010553469999999999
tag meaning 0.00105366
assignment evaluation 0.001047041
tag assigment 0.00104633
target node 0.001042021
other languages 0.001038205
learning methods 0.001036046
spanish treebank 0.001030818
only nodes 0.0010262370000000002
lexical dependencies 0.0010257
feature weighting 0.001024183
different parts 0.001023369
different tex 0.001021998
assignment method 0.001013344
such methods 0.0010125380000000001
parsing 0.00101224
category labels 0.001006425
training material 0.0010035
many nodes 0.001003033
node relabelling 0.00100106
original treebank 0.001000273
mother node 9.96046E-4
context features 9.94258E-4
data problems 9.925020000000001E-4
evaluation metric 9.90652E-4
other lan 9.904850000000002E-4
tic model 9.89242E-4
syntactic representation 9.83281E-4
trees 9.83183E-4
lfg annotation 9.82596E-4
other hand 9.80427E-4
