same model 0.001695775
model parameters 0.001520844
bigramme model 0.001483671
model variation 0.001462735
model vectors 0.001434711
gramme model 0.001424759
model fit 0.001424547
model inspection 0.001422147
unigramme model 0.001422147
model components 0.001422147
training data 0.001351349
such measures 0.001305343
same data 0.0012850560000000001
clustering models 0.0012558909999999999
frequency data 0.001240487
model 0.00123577
association measures 0.001210445
other measures 0.00118188
new measures 0.001069508
association measure 0.001062879
markov models 0.001035231
transitive data 0.00103119
vpc data 0.001027904
probability pexp 9.649770000000001E-4
new association 9.601449999999999E-4
different set 9.465910000000001E-4
probability estimates 9.414250000000001E-4
distance measures 9.406670000000001E-4
bigramme probability 9.320670000000001E-4
mixture models 9.08633E-4
same class 8.948179999999999E-4
learnable models 8.784800000000001E-4
occurrence probability 8.761280000000001E-4
gramme probability 8.73155E-4
extraction association 8.714969999999999E-4
probability pobs 8.714580000000001E-4
terior probability 8.714580000000001E-4
first cluster 8.58315E-4
informed measures 8.51783E-4
canonical measures 8.465230000000001E-4
ratio test 8.45514E-4
such cases 8.400510000000001E-4
same number 8.32396E-4
first gold 8.30952E-4
gold standard 8.27934E-4
words 8.14762E-4
different datasets 8.04184E-4
test statistic 8.02653E-4
divergence measure 7.9346E-4
low association 7.89622E-4
different corpora 7.786360000000001E-4
amm training 7.727260000000001E-4
association score 7.692269999999999E-4
semantic associations 7.65443E-4
extraction results 7.52431E-4
mutual information 7.51295E-4
different amms 7.49552E-4
association mea 7.47258E-4
collocational association 7.43504E-4
class size 7.41359E-4
noun cluster 7.405199999999999E-4
different settings 7.36689E-4
suitable association 7.3656E-4
glish corpus 7.28774E-4
frequency baseline 7.23479E-4
hidden class 7.20167E-4
collocation candidate 7.18432E-4
different goals 7.13626E-4
collocation gold 7.03984E-4
last gold 6.99563E-4
models 6.92276E-4
second gold 6.845270000000001E-4
probability 6.84166E-4
standard annotation 6.8182E-4
good extraction 6.769079999999999E-4
semantic associa 6.75283E-4
own frequency 6.70358E-4
ing collocation 6.6742E-4
bigramme frequency 6.63337E-4
measures 6.59904E-4
average precision 6.48743E-4
supervised machine 6.46718E-4
semantic informa 6.43481E-4
extraction task 6.42416E-4
expected probabilities 6.40456E-4
linguistic infor 6.39584E-4
collocation extraction 6.359849999999999E-4
first aspect 6.34745E-4
several techniques 6.30667E-4
several runs 6.28275E-4
tual information 6.14503E-4
much information 6.13555E-4
poor performance 6.12484E-4
lexical restrictions 6.10434E-4
coherent set 6.06992E-4
frequency baselines 6.02605E-4
syntactic dependencies 6.02255E-4
frequent pairs 6.00278E-4
random baseline 5.98762E-4
individual pairs 5.965090000000001E-4
