language model 0.0031250229999999998
context model 0.0029634979999999997
topic model 0.002745988
linear model 0.002673615
unsupervised model 0.00266651
temporal model 0.002607449
supervised model 0.00260598
model sampler 0.002604348
probabilistic model 0.002596514
vanilla model 0.0025792989999999997
model quality 0.002564452
model cor 0.0025520929999999996
model runs 0.0025391449999999996
model sub 0.002521874
model inferences 0.0025176599999999997
model run 0.0025176599999999997
model 0.00231485
several word 0.0016586320000000002
word forms 0.001613484
word sequence 0.001521028
event data 0.001520094
word order 0.001488277
svo word 0.0014324140000000001
different models 0.001409346
different event 0.0013865969999999998
events data 0.001318863
data analysis 0.001213479
topic models 0.001195085
latent event 0.001193074
important data 0.001179032
data source 0.001155582
lexical features 0.0011541569999999998
results results 0.001151298
frame models 0.0011487989999999998
probability distribution 0.001146884
event class 0.0011278500000000001
linear models 0.0011227119999999999
natural language 0.00111951
political event 0.001105181
event type 0.0010992649999999999
other case 0.0010973200000000002
data collection 0.0010778019999999999
feature vector 0.001075346
event types 0.001072518
context parameters 0.001060587
prior distribution 0.00104937
event extraction 0.00104926
other parameters 0.001047703
language processing 0.001033893
different frame 0.0010302509999999998
frame distribution 0.0010228709999999998
gigaword data 0.0010211299999999999
event dataset 0.0010172269999999999
language submodel 0.0010144149999999998
mid data 0.001013365
political context 0.001012631
event ontology 0.001008959
input features 9.9662E-4
linguistic event 9.92012E-4
data effort 9.88706E-4
action event 9.85562E-4
event counts 9.8504E-4
same class 9.83411E-4
data starts 9.817769999999999E-4
same frame 9.816109999999999E-4
event tuple 9.77743E-4
training set 9.71761E-4
event classes 9.70831E-4
cameo event 9.666259999999999E-4
local context 9.63326E-4
particular event 9.572879999999999E-4
event tuples 9.567099999999999E-4
event extrac 9.47713E-4
event discovery 9.44404E-4
ful event 9.44404E-4
popular event 9.44404E-4
evaluation results 9.43221E-4
multiple events 9.41862E-4
different frames 9.417519999999999E-4
other modeling 9.40395E-4
cal context 9.18954E-4
individual words 9.152419999999999E-4
different entities 9.089279999999999E-4
political events 9.0395E-4
sentence analysis 8.9376E-4
frame learning 8.84571E-4
latent topic 8.83014E-4
previous work 8.81651E-4
conflict events 8.74986E-4
other filters 8.56717E-4
context submodel 8.5289E-4
sociopolitical context 8.518270000000001E-4
machine learning 8.48087E-4
several noun 8.468919999999999E-4
other mention 8.40246E-4
inference algorithms 8.39784E-4
lexical scale 8.395480000000001E-4
same dyad 8.36127E-4
dependency path 8.26004E-4
linear time 8.25704E-4
