word type 0.002172317
word contexts 0.002152809
word types 0.002097321
word prototypes 0.002039858
unsupervised model 0.001861263
model parameters 0.00185327
frequent words 0.001745239
criterion model 0.001724406
generative model 0.0017191889999999999
model com 0.0016872789999999999
mislabeled words 0.001684978
tive model 0.001677404
rare words 0.001666886
disambiguating model 0.001666807
pos tag 0.0016629510000000002
other features 0.00158945
same tag 0.0015151090000000002
words 0.00143928
model 0.00143671
complex features 0.0013898620000000002
tag dictionary 0.001372231
pos tags 0.00133709
pos tagging 0.001326892
basic features 0.0012942650000000002
unsupervised pos 0.001282566
data likelihood 0.001251992
context vectors 0.001248904
hmm approach 0.0012481929999999999
data points 0.001200395
other models 0.001191543
single tag 0.001191329
supervised pos 0.001160147
pos induction 0.001150998
several models 0.001150018
unsupervised method 0.001144623
tag contexts 0.001143177
pos taggers 0.001131239
right tag 0.001109367
different tags 0.001098789
pervised pos 0.001093776
right context 0.001087845
extended context 0.001062972
recent models 0.001059643
features 0.00104497
ldc algorithm 0.001042666
tag sets 0.001041686
iterative algorithm 0.001040802
same level 0.001040205
clustering algorithm 0.001007035
algorithm con 9.99047E-4
same mixture 9.97924E-4
similar vectors 9.951600000000001E-4
linguistic information 9.93594E-4
several tags 9.82032E-4
ldc approach 9.74238E-4
iterative approach 9.72374E-4
style algorithm 9.42343E-4
same gaus 9.36758E-4
standard evaluation 9.18553E-4
ldc results 9.1623E-4
straightforward approach 9.05391E-4
novel approach 8.990179999999999E-4
gold standard 8.89138E-4
treebank corpus 8.85081E-4
similar descriptor 8.77101E-4
tagging accuracy 8.68593E-4
many parameter 8.64051E-4
new assignments 8.62183E-4
new assignment 8.546389999999999E-4
hmm terminology 8.26272E-4
such resources 8.25833E-4
computation time 8.14623E-4
similar fashion 8.13496E-4
descriptor vectors 8.12917E-4
distributional information 8.06054E-4
ing factor 8.03131E-4
unsupervised version 8.02192E-4
standard tagsets 7.99725E-4
gold tags 7.98694E-4
standard deviation 7.97209E-4
several ways 7.85242E-4
context 7.83416E-4
objective function 7.78388E-4
simple form 7.779600000000001E-4
first iteration 7.72797E-4
text vectors 7.72451E-4
previous iteration 7.64632E-4
several labels 7.58291E-4
next iteration 7.58E-4
tion step 7.57616E-4
parameter changes 7.56849E-4
descriptor vector 7.53674E-4
single label 7.52482E-4
computational efficiency 7.52153E-4
previous state 7.50613E-4
first tool 7.480329999999999E-4
punctuation tags 7.46254E-4
specific set 7.4416E-4
initialization step 7.43404E-4
latent descriptor 7.407900000000001E-4
