feature function 0.00433956
feature set 0.004205311
many feature 0.00402271
feature space 0.004017784999999999
feature selection 0.004002179
random feature 0.003991867
feature vector 0.003991507
feature vectors 0.003961926
possible feature 0.003960405
input feature 0.0039003799999999997
feature sequence 0.003868037
standard feature 0.003849282
feature functions 0.003817746
dense feature 0.0038119399999999998
sparse feature 0.003810946
feature combinations 0.0038005849999999996
partial feature 0.0037906869999999996
prefix feature 0.003789316
binary feature 0.0037831059999999996
conjunctive feature 0.0037813079999999997
feature com 0.003775275
exhaustive feature 0.003762685
primitive feature 0.0037438439999999996
feature vec 0.003739629
source feature 0.0037393549999999998
fix feature 0.003724337
feature mix 0.003723481
feature indices 0.003723481
feature vectorx 0.003723481
feature 0.00345813
features vectors 0.002695916
frequent features 0.00267648
active features 0.002674356
other features 0.002673029
useful features 0.002570493
individual features 0.002564516
tive features 0.00253839
linguistic features 0.002530408
prefix features 0.0025233060000000003
conjunctive features 0.002515298
lexical features 0.002497491
infrequent features 0.002480874
primitive features 0.002477834
atomic features 0.002461262
irrelevant features 0.0024582230000000003
junctive features 0.0024582230000000003
features 0.00219212
kernel function 0.0015778979999999999
training set 0.001526815
weight function 0.0014698340000000002
training data 0.001469258
classification algorithm 0.001445519
model statistics 0.0014343110000000002
same task 0.00140945
type model 0.001394225
model type 0.001394225
classification time 0.001394218
model baseline 0.001392456
model pki 0.001374865
classification task 0.001356408
dependency accuracy 0.001350618
dependency parsing 0.001327687
function words 0.001324217
mapping function 0.0013062339999999999
japanese dependency 0.001280792
nlp task 0.001242052
test data 0.001206079
dependency parser 0.001195767
head word 0.001193275
nel function 0.001191129
word surface 0.001182774
functional word 0.001182774
kernel methods 0.001178002
data size 0.00117589
same speed 0.0011730809999999999
small set 0.00116649
decision function 0.001165611
parsing task 0.001165296
sort function 0.001154672
partition function 0.001150728
dependency pars 0.001126656
weight vector 0.001121781
complete dependency 0.001112259
dependency relations 0.0011093119999999999
polynomial kernel 0.0011046089999999999
experimental results 0.0011026249999999999
clude dependency 0.001101424
simple method 0.001096868
weight vectors 0.0010922000000000002
several nlp 0.001088052
llm training 0.001087314
weight values 0.001086892
model 0.00108163
language data 0.001081365
class label 0.001080872
actual data 0.0010741190000000001
following experiments 0.001073489
ing task 0.001068711
data structure 0.001063394
training samples 0.001052388
