scf class 0.0031637
other verbs 0.002588918
other scf 0.0025565279999999998
similar verbs 0.002393168
scf acquisition 0.00236466
english verbs 0.00235582
general scf 0.002340676
motion verbs 0.00231109
specific scf 0.002292421
scf distribution 0.00225273
test verbs 0.00222767
scf estimates 0.0022252829999999998
scf types 0.002213508
scf correlation 0.002207362
scf distributions 0.002192294
hypernym verbs 0.002169467
appearance verbs 0.002167803
individual verbs 0.00215787
potential scf 0.002139746
aspectual verbs 0.002136297
verbs march 0.002131397
polysemic scf 0.002125315
latter verbs 0.002113598
accurate scf 0.002104567
conditional scf 0.002098127
dividual verbs 0.002095334
all verbs 0.002094289
unrelated verbs 0.002091487
cific scf 0.002083599
scf cor 0.002083584
correct scf 0.002080215
scf tokens 0.002070229
scf distri 0.002068181
final scf 0.002066317
unconditional scf 0.002064813
scf acquisit 0.002064251
scf acqui 0.002062375
scf dis 0.002061772
scf distribu 0.002061437
scf lexi 0.002059369
scf variations 0.002058521
cover scf 0.002058521
scf entries 0.002058521
levin class 0.00202866
semantic relations 0.001998581
same class 0.00188118
semantic lass 0.001864242
semantic lasses 0.0018600729999999998
semantic account 0.001846943
verbs 0.00184666
class baseline 0.00169922
verb class 0.001679915
class change 0.001630983
levin classes 0.001596318
lsernantic class 0.0015947399999999999
corpus data 0.001579557
syntactic frames 0.001564991
frequency data 0.001451956
different levin 0.0014048609999999999
training data 0.001394491
different methods 0.001381531
class 0.00134943
test data 0.001314906
subcategorization information 0.0013012100000000001
test classes 0.0012980980000000001
such information 0.001264153
data the 0.001242751
syntactic differences 0.001232497
bnc data 0.001231927
individual classes 0.001228298
similar levin 0.001225738
data problem 0.001214236
same levin 0.00121098
classification work 0.001209325
mantic classes 0.001205099
classes change 0.001198641
sparse data 0.0011918850000000002
different subcategorization 0.001188295
similar method 0.001184189
positive classes 0.001181212
ant data 0.001178607
frequency scfs 0.001146072
accurate information 0.001128843
different test 0.001106641
statistical methods 0.0011051119999999999
particular levin 0.001099219
simple method 0.001094979
different techniques 0.001088115
subcategorization frames 0.001086411
acquisition system 0.0010454029999999999
further classification 0.001035982
predominant sense 0.001035812
frequent sense 0.0010219180000000001
spredomlnant sense 0.001011953
different approaches 0.001010141
national corpus 9.93734E-4
other members 9.91515E-4
empirical evaluation 9.89961E-4
baseline method 9.87471E-4
scfs output 9.75863E-4
