tagging model 0.003361901
same model 0.00329959
model performance 0.00323626
probability model 0.0031441209999999997
first model 0.003096302
tag set 0.003055332
other tag 0.003031505
tag probability 0.002928041
model perplexity 0.002921704
baseline model 0.002895262
first tag 0.002880222
markov model 0.002865251
second model 0.00285142
third model 0.002833692
agging model 0.002825701
number tag 0.002821401
predictive model 0.002804576
naive model 0.0028014949999999998
ging model 0.0027968999999999997
line model 0.002791541
fourth model 0.002791133
tag structure 0.002778564
tag trigger 0.002716418
related tag 0.002688971
particular tag 0.002686305
extrasentential tag 0.002678241
tag triggers 0.002660778
tag family 0.002581306
unigram tag 0.002576218
triggering tag 0.002573574
tag fam 0.002573443
tag trigrams 0.0025722519999999997
tag families 0.002572133
tag nniperson 0.002570823
selected tag 0.002570823
historical tag 0.002570823
model 0.0025415
word atr 0.002204917
particular word 0.0020833049999999997
size word 0.002052731
specific word 0.002051306
word vocabulary 0.0020372
attribute word 0.0020083749999999997
son word 0.001969808
other words 0.001818805
training data 0.00169987
syntactic tags 0.001662659
following features 0.001581111
previous words 0.001580663
tagging performance 0.0015151610000000001
trigger words 0.001503718
related words 0.001476271
prior words 0.001436805
related tags 0.0014139209999999998
particular tags 0.001411255
triggering feature 0.001388324
intrasentential words 0.001358866
semantic information 0.001346046
select features 0.001324869
basic tagging 0.001318762
predictive features 0.0013130759999999998
test tree 0.00126014
following form 0.001221514
tagging process 0.001176193
feature 0.00114017
local context 0.001131302
words 0.00111272
trigger information 0.001098416
contextual information 0.001097333
real tagging 0.001082418
extrasentential context 0.0010740580000000001
respectable tagging 0.00106698
entropy approach 0.001066682
semantic constraints 0.001063358
extrasentential information 0.0010602390000000001
features 0.00105
training treebank 0.001041852
other hand 0.001038798
semantic component 0.001025667
mutual information 0.001015088
same kind 0.001005203
same doc 0.001005203
test treebank 9.96746E-4
additional information 9.88448E-4
accurate performance 9.83198E-4
tic context 9.81551E-4
ular set 9.75343E-4
semantic label 9.74584E-4
tial context 9.69791E-4
labelled context 9.66596E-4
syntactic tagset 9.602860000000001E-4
information gain 9.59154E-4
extra information 9.58357E-4
simple approach 9.50001E-4
performance gain 9.46496E-4
uniform distribution 9.413659999999999E-4
english treebank 9.337740000000001E-4
possible triggers 9.21897E-4
number trigram 9.136840000000001E-4
general english 9.11234E-4
