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extraction patterns 0.002275218
extraction pattern 0.002248038
semantic relation 0.002186718
information extraction 0.002110724
knowledge extraction 0.002010685
extraction performance 0.002004294
extraction methods 0.001987097
open extraction 0.001986253
semantic relations 0.001907078
extraction errors 0.001901378
training data 0.00188878
extraction time 0.001850755
extraction pat 0.001813337
weighted extraction 0.001779308
relation extractors 0.001752975
detailed extraction 0.001735152
extraction perfor 0.001730607
extraction speed 0.001723681
unlexicalized extraction 0.0017208570000000001
fast extraction 0.001715977
calized extraction 0.001712956
relation instances 0.001689963
relation arguments 0.001648814
relation extrac 0.001634981
relation name 0.001633876
possible relation 0.001615692
many relations 0.001615005
hypernym relation 0.001584247
training set 0.0015795639999999999
wikipedia sentences 0.001576121
other data 0.0015368040000000001
parser features 0.001535568
lexical features 0.0014906070000000001
first sentence 0.001490079
extraction 0.00148087
test sentence 0.0014590620000000001
wikipedia text 0.001443341
single sentence 0.001435026
learning algorithm 0.0014165319999999999
relational data 0.001411262
shallow features 0.001385393
previous sentence 0.001382531
other sentences 0.001375416
many sentences 0.0013609569999999999
same learning 0.001355714
general relations 0.0013490989999999999
labeled data 0.001346768
matching sentence 0.001331312
distance relations 0.001329545
features woeparse 0.001327864
relation 0.00131835
path features 0.00131263
training examples 0.0012958750000000002
unique sentence 0.001289798
tag features 0.001279834
negative training 0.0012717190000000001
original sentence 0.001267833
training dataset 0.0012612909999999999
semantic rela 0.00126081
sentence length 0.001251388
test sentences 0.0012405440000000001
deep features 0.001238182
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learning extractors 0.001227833
wikipedia corpus 0.0012268819999999999
annotated training 0.001210326
wikipedia crf 0.0011906220000000001
independent training 0.001190591
data sources 0.001181103
training exam 0.001180543
ditional training 0.001180375
data sparsity 0.001178339
information extractor 0.0011773460000000001
erate training 0.0011767470000000001
better training 0.001174644
wikipedia article 0.001172687
wikipedia infobox 0.001160986
ing sentences 0.001155493
pattern classifier 0.001155093
wikipedia results 0.0011486930000000001
few patterns 0.001139395
open information 0.0011352369999999999
wikipedia articles 0.001122495
lexical information 0.001119541
wikipedia woeparse 0.001118403
matching sentences 0.001112794
path patterns 0.001106058
lexical words 0.001102684
parser dependency 0.0010979129999999998
wikipedia heuristic 0.001094268
supervised learning 0.001091232
large number 0.0010839069999999998
wikipedia page 0.001081627
simple pattern 0.001081366
large precision 0.001076328
wikipedia categories 0.001074665
multiple sentences 0.001074242
textrunner system 0.001073299
entity types 0.001072625
