extraction patterns 0.0036432030000000002
patterns precision 0.003569356
different patterns 0.003288042
seed patterns 0.003205464
many patterns 0.003148241
ing patterns 0.003119916
possible patterns 0.0031131500000000003
confidence patterns 0.003068651
initial patterns 0.003057998
further patterns 0.003048327
good patterns 0.003038626
patterns construction 0.003012919
sample patterns 0.003010603
patterns tuples 0.0029882420000000003
weighted patterns 0.002985211
informative patterns 0.002974502
candidate patterns 0.002974112
authoritative patterns 0.00294909
patterns relevancy 0.002936077
patterns styles 0.002936077
person pattern 0.002787706
pattern relation 0.002720311
patterns 0.00269577
pattern set 0.002621012
pattern induction 0.002184356
pattern matches 0.002117784
pattern design 0.002104907
iterative pattern 0.002094911
pattern weighting 0.002078511
weights pattern 0.002064015
relation extraction 0.001857174
pattern 0.00181057
person entity 0.001768742
relations extraction 0.001737501
semantic relations 0.001713504
information extraction 0.001578086
relation instances 0.001474276
unsupervised system 0.001471839
seed extraction 0.001457127
large set 0.001452168
same set 0.001436306
relation types 0.001416625
language model 0.0014098869999999999
data set 0.00140674
other words 0.001386947
person state 0.001352334
extraction rules 0.001316335
extraction pat 0.0013097220000000001
person opposition 0.001285184
extraction problems 0.001282868
personnel person 0.001282852
semantic tuple 0.001278896
person vbd 0.001276526
large text 0.0012742159999999999
semantic clustering 0.001258369
generalized extraction 0.001257861
unsupervised data 0.0012566510000000001
vbn person 0.001248576
system performance 0.00124452
players person 0.001240151
large data 0.001238024
text data 0.001228788
management relation 0.00122466
person paris 0.001219555
person taiwan 0.001219555
person pyongyang 0.001219555
person russia 0.001219555
semantic lexicon 0.001216816
content extraction 0.001209899
independent extraction 0.001206634
tuples relation 0.0012022130000000002
context words 0.0012007749999999998
first entity 0.001192745
semantic tags 0.001192537
extraction program 0.001187646
relation detection 0.00118748
ace relation 0.001179782
test set 0.001178176
initial set 0.00117267
supervised system 0.001172595
semantic analyzers 0.001164104
france relation 0.001151093
gigaword corpus 0.001147428
unsupervised learning 0.0011292820000000001
random set 0.001110433
same results 0.001109631
template set 0.001105472
second entity 0.001102788
templates set 0.001098367
unsupervised approach 0.00108989
entity this 0.0010862530000000001
other hand 0.001070376
entity detection 0.001069345
model probabilities 0.001063303
main steps 0.001063037
pervised system 0.00106202
entity tags 0.0010607070000000001
chirac entity 0.001060559
main source 0.001057629
unsupervised technique 0.001053565
