frames class 0.0020595739999999998
semantic frame 0.00197114
semantic frames 0.001927824
semantic features 0.001900379
frame data 0.00187755
gold class 0.001771333
other classes 0.0017532670000000002
class evaluation 0.0017508579999999999
class accuracy 0.00173866
class distribution 0.001643377
gold classes 0.001641553
class evaluations 0.001619112
multiple class 0.001616437
classes output 0.001606493
many classes 0.001600434
weighted class 0.001595422
single class 0.0015911039999999999
semantic role 0.0015644160000000001
class attribute 0.0015550569999999999
several verbs 0.001554185
predominant class 0.0015502279999999998
verbnet class 0.00152693
class induction 0.0015257439999999999
class evalu 0.001513448
dominant class 0.0015029779999999999
syntactic features 0.001502176
bolded class 0.001495778
class stance 0.001495778
semantic roles 0.001489864
multiple classes 0.0014866570000000002
target verbs 0.00145502
multiple verbs 0.0014529970000000001
verb classes 0.0014442230000000001
word corpus 0.001437907
classes place 0.001427979
predominant classes 0.001420448
phrasal verbs 0.001402457
frequent verbs 0.001397794
verbnet classes 0.00139715
multiple data 0.001391097
net classes 0.001388432
input data 0.0013881520000000001
semantic parsing 0.0013832290000000001
semantic behavior 0.00137702
semantic similarity 0.001372613
single data 0.0013657640000000002
tiple classes 0.001365745
ple classes 0.001365745
classes automati 0.001365745
verbs inki 0.00135371
data source 0.001342843
same method 0.001330776
web corpus 0.001312014
clustering method 0.001277106
data point 0.001276832
class 0.00127473
lexical information 0.001274135
data points 0.001271442
clustering features 0.00125271
many frames 0.001240328
frequency information 0.001200969
subcategorization frame 0.001187304
input frame 0.001166922
initial frame 0.0011466739999999999
classes 0.00114495
single frame 0.001144534
subcategorization frames 0.001143988
semantic 0.00114298
raw corpus 0.0011420570000000001
evaluation results 0.001139825
tic frames 0.001133253
wsj corpus 0.001132471
gigaword corpus 0.001126586
frame distributions 0.001123153
semlink corpus 0.001113951
verbs 0.00111129
frame attribute 0.001108487
pair features 0.001106345
tic features 0.001105808
huge corpus 0.001105287
initial frames 0.001103358
original method 0.001098808
speech corpus 0.001096269
framenet corpus 0.00109077
tion frames 0.0010863420000000001
frame induction 0.001079174
semlinkwsj corpus 0.00107024
syntactic argument 0.00106315
supervised method 0.001057419
tial frame 0.001050782
same clustering 0.001044292
word corpora 0.001038333
only features 0.001029402
unsupervised method 0.0010272
word sense 0.0010267639999999999
framenet frames 0.0010264710000000002
scalable method 0.001022121
typical method 0.001021742
information bottleneck 0.001020599
mantic frames 0.0010205540000000001
