model table 0.002509646
good model 0.002466073
markov model 0.002463128
complex model 0.00237667
graphical model 0.002370609
model 0.00215015
head word 0.001848125
word types 0.0017220760000000001
sense distribution 0.00168691
respective word 0.0016784780000000002
word class 0.001633347
training data 0.001519735
same sense 0.001507502
different models 0.0014369299999999999
test data 0.001433456
preposition sense 0.0014024390000000001
sense disambiguation 0.001326398
sense distributions 0.001301935
joint distribution 0.001288488
data sets 0.001241426
annotated data 0.001200191
unlabeled data 0.0011893799999999999
data likelihood 0.001184482
sense inventory 0.00117937
sparse sense 0.001174152
object sense 0.001160441
sition sense 0.00115419
joint probability 0.001150228
various models 0.001114194
training method 0.0011115819999999998
unknown words 0.0010573219999999999
graphical models 0.001051151
other methods 0.001024372
training methods 9.89209E-4
test set 9.58204E-4
sense 9.46523E-4
label accuracy 9.43617E-4
joint disambiguation 9.27976E-4
unsupervised training 9.1621E-4
brown corpus 9.08301E-4
best accuracy 8.81423E-4
bel accuracy 8.76236E-4
different settings 8.646600000000001E-4
ing methods 8.53492E-4
probability mass 8.474820000000001E-4
figure tion 8.33779E-4
models 8.30692E-4
words 8.16913E-4
show results 8.156099999999999E-4
preposition senses 8.116320000000001E-4
additional training 8.10221E-4
unsupervised preposition 7.99462E-4
many nlp 7.94337E-4
disambiguation approach 7.92952E-4
possible senses 7.7268E-4
supervised preposition 7.72653E-4
dependency parser 7.66004E-4
unsupervised methods 7.600910000000001E-4
frequent english 7.4971E-4
interesting task 7.47495E-4
distribution 7.40387E-4
semeval task 7.35077E-4
example sentence 7.33639E-4
supervised methods 7.33282E-4
semantic constraints 7.244549999999999E-4
psd task 7.234300000000001E-4
english preposi 7.21585E-4
preposition arguments 7.17769E-4
future work 7.1685E-4
unsupervised tasks 7.152980000000001E-4
semantic role 7.08393E-4
semeval test 7.04053E-4
much information 7.02311E-4
linguistic distributions 7.01502E-4
first attempt 6.99988E-4
supervised system 6.924570000000001E-4
space constraints 6.921690000000001E-4
ing techniques 6.8427E-4
preposition project 6.83931E-4
parameter αtrans 6.81774E-4
various features 6.79037E-4
tration parameter 6.76867E-4
pervised preposition 6.73489E-4
accuracy 6.69157E-4
nlp problems 6.683360000000001E-4
preposition disam 6.63237E-4
information extraction 6.54946E-4
corpus 6.48511E-4
supervised approaches 6.35519E-4
bayesian inference 6.321860000000001E-4
possible lexicographer 6.2888E-4
unsupervised framework 6.25806E-4
dirichlet priors 6.24412E-4
label sequence 6.236530000000001E-4
argument disambiguation 6.13835E-4
semantic categories 6.13437E-4
perplexity rate 6.13249E-4
order hmm 6.12364E-4
further constraints 6.12234E-4
results 6.07671E-4
