event type 0.00418181
bilingual event 0.004027652
event extraction 0.003951587
event arguments 0.003797135
event corpus 0.003683961
english event 0.003649309
chinese event 0.0035961960000000003
event types 0.003482483
consistent event 0.003389847
traditional event 0.0033741780000000002
event instance 0.003372912
event sample 0.003353698
event categories 0.0033481130000000002
event extrac 0.003346666
event taggers 0.0033397360000000003
event identifica 0.0033397360000000003
event taxonomy 0.0033397360000000003
event 0.00307741
trigger type 0.0025018799999999997
features trigger 0.002382005
trigger word 0.002268903
approach trigger 0.002027091
entity type 0.001995508
english trigger 0.001969379
trigger words 0.0019388930000000001
bilingual features 0.001934767
argument role 0.001916711
chinese trigger 0.001916266
word features 0.001855948
bilingual information 0.001837158
bilingual word 0.001821665
trigger label 0.001812739
trigger identification 0.001703246
trigger location 0.0016649199999999999
desert trigger 0.001660034
vbn trigger 0.001660034
bilingual corpus 0.001556793
bilingual training 0.00154134
type consistency 0.001529253
extraction task 0.0015290759999999999
training data 0.001524445
english data 0.001505246
data english 0.001505246
monolingual bilingual 0.001454299
translation system 0.001453312
chinese data 0.001452133
test data 0.0014437859999999999
local feature 0.0014376850000000002
type ent 0.001422851
ent type 0.001422851
specific features 0.001415323
type determination 0.001406697
bilingual classification 0.0014066460000000001
trigger 0.00139748
type recognition 0.001392946
important features 0.0013876729999999999
labeled data 0.001381839
key feature 0.00137595
type determina 0.001366791
ing data 0.001365128
semantic features 0.0013567079999999999
context features 0.0013397259999999999
argument labeling 0.001320473
data figure 0.001290994
lingual features 0.001286512
negative features 0.001281031
information retrieval 0.001279666
features samples 0.001276756
argument identification 0.001272249
similar information 0.001267965
gual features 0.00126724
feature vector 0.001266586
inference mechanisms 0.001261433
sets features 0.001258596
role determination 0.001252525
motivated features 0.001247408
bilingual processing 0.001245623
standard word 0.0012451839999999999
ment model 0.001243772
bilingual fea 0.001242475
bilingual perspective 0.001231165
learning approach 0.0012298650000000001
single feature 0.001226881
bilingual perspectives 0.0012259060000000001
bilingual cor 0.001220461
data sparseness 0.001218092
setting data 0.001217966
word length 0.00121767
bilingual clas 0.001216288
per entity 0.001214073
entity subtype 0.001211295
data sets 0.001207418
word alignment 0.0012067
word sequence 0.001199564
saddam entity 0.001196962
feature examples 0.001189359
different languages 0.001188359
original feature 0.001186444
feature augmentation 0.001185296
feature definition 0.001183947
