test data 0.0017124269999999999
training data 0.001709452
data accuracy 0.0016909669999999998
ing data 0.001478145
data features 0.001450961
open data 0.0014109399999999999
main word 0.001399707
different categories 0.0013831610000000002
closed data 0.0013533999999999998
data eval 0.0013521689999999999
supervised data 0.0013484909999999998
pervised data 0.0013256
dling data 0.0013195379999999999
blind data 0.0013195379999999999
other methods 0.001239101
statistical test 0.001224547
information extrac 0.001191791
university corpus 0.001188989
results method 0.001171573
new method 0.0011665730000000002
same sentence 0.0011400709999999999
corpus inu 0.001082911
high accuracy 0.001076401
japanese sentences 0.00104082
learning method 0.001037574
small number 0.001031429
sentences source 0.001030701
low accuracy 0.001024103
dictionaries method 0.00102157
rate training 0.001016899
few training 0.001004742
accuracy rate 9.98414E-4
sign test 9.88566E-4
target case 9.878040000000001E-4
active sentences 9.7175E-4
japanese sentence 9.68307E-4
japanese case 9.63634E-4
semantic class 9.609099999999999E-4
voice sentences 9.552790000000001E-4
source case 9.53515E-4
passive sentences 9.504579999999999E-4
information 9.42607E-4
tive sentences 9.28836E-4
case particle 9.27723E-4
accuracy rates 9.275360000000001E-4
case occurrence 9.244279999999999E-4
semantic features 9.235879999999999E-4
binomial test 9.0094E-4
active sentence 8.99237E-4
corresponding case 8.95458E-4
sentence structures 8.92608E-4
case patterns 8.919150000000001E-4
method closed 8.88187E-4
case particles 8.81209E-4
passive sentence 8.77945E-4
training datum 8.752390000000001E-4
rating training 8.752390000000001E-4
case par 8.70187E-4
category number 8.58151E-4
original case 8.57234E-4
method separat 8.56202E-4
system output 8.55949E-4
experimental results 8.526639999999999E-4
tive case 8.5165E-4
high rate 8.46701E-4
machine learning 8.43614E-4
syntactic parser 8.36283E-4
dependency relationship 8.36254E-4
natural language 8.346849999999999E-4
corpus 8.29739E-4
jective case 8.29021E-4
many research 8.230500000000001E-4
syntactic relations 8.088E-4
semantic primitives 8.02082E-4
vector machine 8.01958E-4
tional methods 7.999190000000001E-4
significance level 7.853420000000001E-4
small margin 7.81513E-4
source target 7.67865E-4
heuristic rules 7.64568E-4
traditional methods 7.58222E-4
kernel function 7.580239999999999E-4
ditional methods 7.470700000000001E-4
use machine 7.42999E-4
target particle 7.42073E-4
japanese grammar 7.39881E-4
feature selection 7.36105E-4
words 7.33456E-4
correct category 7.315500000000001E-4
vdic dictionaries 7.28415E-4
rate particle 7.25353E-4
cance level 7.227830000000001E-4
rich dictionary 7.22612E-4
ipal dictionary 7.22437E-4
occurrence rate 7.22058E-4
vdic dictionary 7.11634E-4
multiple target 7.10986E-4
seventh level 7.0837E-4
sixth level 7.0837E-4
source particle 7.077839999999999E-4
