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new relation 0.0028698229999999996
relation types 0.002833708
open relation 0.002828214
relation instances 0.0028034649999999998
general relation 0.002660459
traditional relation 0.002643598
relation name 0.002640881
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hybrid relation 0.0026192859999999997
labeled relation 0.002612077
target relation 0.0026096089999999997
relation basis 0.002595367
relation strings 0.002573996
known relation 0.002564749
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extraction model 0.002461624
extraction system 0.0023784319999999998
relation 0.00230958
extraction patterns 0.0021197539999999997
new extraction 0.0021090429999999997
extraction time 0.0020748299999999997
open extraction 0.002067434
extraction task 0.002027717
extraction systems 0.001992264
information extraction 0.0019446069999999999
training data 0.001862952
hybrid extraction 0.0018585059999999998
supervised extraction 0.0018522229999999998
extraction this 0.001847657
independent extraction 0.0018321169999999999
correct extraction 0.0018226219999999999
extraction process 0.0018200789999999998
extraction paradigm 0.001812569
extraction case 0.0018072169999999999
extraction sys 0.001805362
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extraction scenario 0.0017996099999999999
geted extraction 0.001794253
instances relations 0.0016535450000000002
additional relations 0.001613275
new training 0.00155522
extraction 0.0015488
new model 0.001473067
training corpus 0.001462639
target relations 0.0014596890000000001
many training 0.001457295
lexical features 0.001450347
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training examples 0.00141224
tify relations 0.001407138
training example 0.001405281
open system 0.0013482659999999999
relational features 0.0013259600000000002
base features 0.001324381
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labeled training 0.0012974739999999998
training process 0.001266256
general model 0.0012637030000000001
effective features 0.0012550690000000001
training exam 0.001248803
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numeric features 0.001240635
markov model 0.001220846
sequence model 0.001218663
feature set 0.001205594
same sentence 0.001178016
traction model 0.0011779
labeled data 0.001170472
abilistic model 0.001159779
relations 0.00115966
textrunner system 0.001149067
argument types 0.001148959
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language text 0.0010900719999999999
possible entity 0.001088985
inductive learning 0.00108411
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entity identification 0.001079151
new open 0.001078877
bootstrapped learning 0.001074979
first open 0.001068002
category pattern 0.0010636439999999999
english sentences 0.001062585
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same precision 0.001034172
entity labeling 0.001030748
additional patterns 0.001024569
syntactic patterns 0.001014112
training 9.94977E-4
large number 9.94212E-4
sequential text 9.93569E-4
features 9.93156E-4
full set 9.85831E-4
text processing 9.76921E-4
biographical text 9.68022E-4
entity pair 9.675969999999999E-4
second argument 9.532939999999999E-4
sentence sample 9.46391E-4
