tree features 0.001959965
dependency features 0.001710778
learning algorithm 0.001707625
dependency tree 0.001685523
classification algorithm 0.001666804
ing algorithm 0.001613146
known algorithm 0.001504112
algorithm variants 0.001497546
feature set 0.001483193
tical algorithm 0.00146685
example tree 0.0014476060000000002
subtree features 0.0014425570000000001
same feature 0.001439523
training data 0.0014319279999999998
tree classification 0.001407729
feature vector 0.001396071
new features 0.001373571
feature space 0.001315008
original tree 0.001288761
feature representation 0.0012868670000000001
word sequence 0.001285124
tree kernel 0.001278518
distinct features 0.001269236
common features 0.0012614240000000001
support features 0.0012525960000000001
pendency features 0.001239239
compact features 0.0012306970000000002
algorithm 0.00122643
gle tree 0.001216792
next word 0.0012125299999999999
dency tree 0.001209908
tree ker 0.001206959
relevant feature 0.00120389
head word 0.001180287
feature candidates 0.001176314
such analysis 0.001173172
candidate feature 0.001165777
interpretable feature 0.0011514820000000001
numerical feature 0.0011514820000000001
training examples 0.001149442
word boundaries 0.001138874
training speed 0.001100461
model 0.00109892
efficient method 0.001058565
trees let 0.001042996
other applications 0.001042055
other instances 0.001040904
value function 0.001033175
learning algorithms 0.001028668
input sentence 0.001019605
single nodes 0.0010124700000000001
features 9.9261E-4
baseline method 9.91219E-4
data structure 9.88059E-4
ing data 9.80706E-4
extended trees 9.74625E-4
general data 9.721269999999999E-4
candidate trees 9.659480000000001E-4
first approach 9.53866E-4
search problem 9.52619E-4
trees abe 9.5096E-4
search space 9.36253E-4
single node 9.32049E-4
gain function 9.31482E-4
exhaustive method 9.270999999999999E-4
function project 9.167800000000001E-4
feature 9.13025E-4
indicator function 9.07341E-4
input example 8.974930000000001E-4
example input 8.974930000000001E-4
representation approach 8.89298E-4
example space 8.82234E-4
gaussian function 8.79035E-4
sparse data 8.71376E-4
text classification 8.70324E-4
label set 8.68674E-4
efficient learning 8.67538E-4
classification problem 8.58723E-4
sentence classifi 8.5578E-4
optimal rule 8.53729E-4
second approach 8.511479999999999E-4
syntactic relations 8.41407E-4
following problem 8.3876E-4
training 8.37938E-4
final solution 8.319060000000001E-4
new node 8.28062E-4
kernel methods 8.18879E-4
linear combination 8.16459E-4
test instance 8.149419999999999E-4
paired test 8.14871E-4
sign test 8.11921E-4
whole set 8.1096E-4
dual processors 8.08963E-4
statistical difference 8.00603E-4
same setting 7.98011E-4
general problem 7.96486E-4
same instances 7.86492E-4
single hypothesis 7.84042E-4
recent research 7.83703E-4
subtree let 7.79747E-4
