entity features 0.00296217
entropy model 0.00262745
probabilistic model 0.002530058
factored model 0.0025259609999999997
hmm model 0.0024639709999999997
forest model 0.002460042
tropy model 0.002417052
model parame 0.0024169459999999997
bilistic model 0.0024129
dence model 0.0024129
entity information 0.0023415190000000002
label information 0.002230549
model 0.00217734
chunk feature 0.002113055
training data 0.00206326
feature function 0.002026185
feature templates 0.002015371
chunk features 0.002007155
feature name 0.002000079
features table 0.001968521
previous entity 0.001955535
label set 0.001944323
dictionary feature 0.001926777
feature forest 0.001925072
feature functions 0.001899734
entity candidate 0.001894806
equivalent feature 0.001893845
feature forests 0.001891649
count feature 0.001885919
feature func 0.001879657
construct feature 0.001877846
features preceding 0.0018519720000000001
previous label 0.001844565
entity names 0.001819053
few entity 0.001800075
entity tags 0.0017962730000000001
current entity 0.0017835820000000001
ing entity 0.001782999
preceding entity 0.001741202
entity recognition 0.001726265
training time 0.00171785
entity ratio 0.001693451
entity candidates 0.001682137
entity classes 0.001676667
ging entity 0.001669005
distant entity 0.001665925
same training 0.001644529
feature 0.00164237
training set 0.001638063
state sequence 0.001631641
end word 0.00160408
label cell 0.001593776
context word 0.001580529
label bias 0.001560413
label infor 0.0015543940000000002
word fea 0.00155272
ous label 0.001551063
cent label 0.001550097
features 0.00153647
table training 0.001440521
entity 0.0014257
prev word 0.0014101679999999998
local information 0.001404537
word prevstate 0.001404373
word formation 0.001404373
other words 0.001403764
evaluation data 0.001393657
chunk information 0.001386504
development data 0.00136507
same time 0.001345439
partial information 0.001321789
label 0.00131473
information figure 0.001307725
small training 0.001306697
discriminative training 0.001306503
original training 0.00129837
efficient training 0.001291248
forest training 0.0012911720000000002
all training 0.001288978
information extraction 0.001271365
candidate entities 0.001270811
markov models 0.001265103
training framework 0.001259685
training agreement 0.001256803
previous state 0.0012549850000000001
training semi 0.001243276
preceding information 0.001231321
useful information 0.001217608
other labels 0.0011927230000000001
ner system 0.001186132
whole sequence 0.001168102
automated information 0.001151609
many words 0.001136088
conditional probability 0.001135948
protein entities 0.001112111
correct entities 0.0010966819999999999
same labels 0.0010893510000000001
other systems 0.001082855
systems system 0.001080264
state sequences 0.001077756
