semantic relations 0.002455666
word sense 0.002243976
semantic classes 0.002192605
semantic drift 0.002185871
other instances 0.002101724
training instances 0.00209777
sense information 0.0018398870000000001
pattern vector 0.001716099
text patterns 0.001708519
pattern score 0.0016939160000000002
test instances 0.001690832
training corpus 0.001690595
seed instances 0.0016487750000000001
sense baseline 0.00164696
order pattern 0.001643888
correct instances 0.0016422820000000001
sense disambiguation 0.0016295760000000002
sense tags 0.0016253040000000002
training data 0.00162364
pattern reliability 0.001617535
sense figure 0.0016147280000000002
majority sense 0.001598815
confidence instances 0.001588141
only patterns 0.001574326
reliable pattern 0.001565357
pattern induction 0.001562445
sense increases 0.001562381
other words 0.001561287
initial patterns 0.001552614
frequent sense 0.0015524640000000001
true sense 0.001549664
pattern scores 0.001548129
quent sense 0.001533856
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sense disambigua 0.0015282960000000002
sense map 0.00152373
true instances 0.001523674
pattern vectors 0.001511922
unrelated instances 0.00150245
confident instances 0.0014985060000000001
able instances 0.0014975820000000001
evant instances 0.0014975820000000001
pattern ranker 0.0014822960000000001
syntactic patterns 0.001459561
generic patterns 0.001459186
bootstrapping algorithm 0.0014583640000000002
word senses 0.001453796
kernel matrix 0.001439032
reliable patterns 0.001438367
task data 0.001425578
similarity matrix 0.001417356
bootstrapping bootstrapping 0.001376634
select patterns 0.001363604
same task 0.001360676
induce patterns 0.001357273
other senses 0.001337534
target word 0.001302685
sense 0.00128581
espresso algorithm 0.001276936
laplacian matrix 0.001274646
word interest 0.0012705989999999999
word list 0.001263247
instances 0.00125982
different diffusion 0.0012450669999999999
pattern 0.0012439
diagonal matrix 0.001235133
data set 0.0012346520000000001
stop word 0.00123246
symmetric matrix 0.001219945
adjacency matrix 0.001218659
such kernel 0.0012112120000000001
relation extraction 0.001199569
biguate word 0.001196391
algorithms algorithm 0.001189925
same problem 0.00117505
same score 0.0011708040000000001
bootstrapping method 0.001159004
bootstrapping methods 0.001158996
instance vector 0.001151472
task espresso 0.0011467769999999999
training phase 0.001143357
single words 0.001142931
hits algorithm 0.001132954
instance set 0.001128235
data sets 0.001122348
instance similarity 0.001117652
patterns 0.00111691
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test instance 0.001110285
bootstrapping algorithms 0.001108195
instance extraction 0.001100943
comparable corpus 0.001099681
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ing words 0.001096962
large number 0.001096091
training cor 0.001090571
many nlp 0.0010879940000000001
other hand 0.001087791
seed instance 0.001068228
algorithm mfs 0.001066184
