scf model 0.0032711800000000003
lexical model 0.002810603
model features 0.0027652090000000002
baseline model 0.002727316
unsupervised model 0.002702599
model structure 0.002675621
space model 0.002593948
graphical model 0.002544875
cal model 0.002543075
model potentials 0.002542872
discriminative model 0.002533824
individual model 0.002523425
full model 0.002511762
network model 0.002494525
model components 0.002483136
components model 0.002483136
model ver 0.002482003
model 0.00225355
word similarity 0.001743198
scf information 0.0017246100000000001
clustering algorithm 0.001704264
same scf 0.001542988
syntactic similarity 0.0015239189999999999
gold scf 0.0015035970000000002
scf gold 0.0015035970000000002
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scf system 0.001460722
level scf 0.001430247
scf systems 0.001429265
several scf 0.001423218
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word instance 0.0014061540000000002
scf learning 0.001400474
previous word 0.0013933980000000001
scf frame 0.0013847900000000001
type scf 0.001384234
syntactic parser 0.0013814880000000002
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current scf 0.001369871
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frequency scf 0.001346537
scf frequency 0.001346537
scf lexicon 0.001340826
clustering evaluation 0.0013287870000000001
legislation scf 0.001322594
similarity set 0.0013199750000000001
pos training 0.001318461
scf induction 0.0013169240000000001
role clustering 0.001315462
similarity function 0.001315321
standard data 0.0013142470000000002
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few scf 0.0012899860000000001
scf baselines 0.001282836
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level clustering 0.0012764830000000001
similarity score 0.001275964
other set 0.0012713160000000002
scf inventory 0.001271051
parent word 0.001270978
same cluster 0.0012704209999999999
child word 0.001267514
explicit scf 0.001260257
scf annotations 0.001255768
instance clustering 0.0012553500000000001
first pos 0.00125003
scf assignment 0.001247332
scf distribu 0.0012383140000000001
precise scf 0.001237436
final clustering 0.001236076
scf studies 0.001235151
scf induc 0.001234759
scf lexi 0.001232793
scf acqui 0.0012324130000000001
predefined scf 0.001231462
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clustering problem 0.0012238750000000001
syntactic clusters 0.001198859
syntactic context 0.001196032
syntactic frame 0.001162551
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pairwise syntactic 0.001152008
clustering arguments 0.001144939
clustering step 0.001139804
vector representation 0.001138517
optimization algorithm 0.00113375
clustering baselines 0.001129072
pos tags 0.0011249390000000001
instance similarity 0.001120012
level information 0.001119597
pos tag 0.001117615
pervised clustering 0.001113733
syntactic frames 0.001096309
clustering tradition 0.001095679
cut clustering 0.001095079
first set 0.0010920880000000002
