model tags 0.00346215
different tag 0.0025917839999999998
first model 0.0025442430000000003
single model 0.002537007
translation model 0.002485289
alignment model 0.002448685
topic model 0.002437565
generative model 0.00242225
ibm model 0.002419376
relevance model 0.002413735
social tag 0.0023932069999999996
allocation model 0.0023708870000000003
tag vocabulary 0.002283981
tag suggestion 0.002272737
tag dumas 0.0022464019999999998
tag weight 0.0022429599999999996
tag weighting 0.002241535
automatic tag 0.0022255309999999998
tag suggestions 0.0022130659999999996
tag allocation 0.0022115269999999996
tag sugges 0.002211088
tag sug 0.002203666
controlled tag 0.0022023629999999997
tag frequen 0.0022023629999999997
model 0.00213523
word trigger 0.0018786299999999998
simple word 0.001867229
sampling tags 0.0018043730000000002
multiple tags 0.0017679500000000001
several tags 0.0017455270000000002
social tags 0.0017442570000000001
word alignment 0.001719895
word position 0.0016929089999999998
empty word 0.0016792169999999998
correct tags 0.0016435660000000002
computing word 0.00163843
unique tags 0.0016335730000000001
popular tags 0.0016119670000000002
annotated tags 0.001598478
corresponding tags 0.0015915780000000002
general tags 0.0015899710000000001
original tags 0.0015792360000000001
appropriate tags 0.001574172
training data 0.001569128
ranking tags 0.001563768
suggested tags 0.0015617530000000001
specific tags 0.001561267
multiple words 0.00155957
tags accord 0.0015540290000000002
wrong tags 0.001553488
important words 0.001550699
data set 0.0014425649999999998
unique words 0.001425193
source words 0.0013873759999999998
triggered words 0.0013478289999999998
same set 0.001271641
data size 0.001228327
natural language 0.001227879
target language 0.001227115
language processing 0.001226949
other methods 0.0012021039999999998
source language 0.001187699
translation models 0.00116332
different methods 0.001140592
alignment models 0.001126716
test set 0.001118719
words 0.00111854
topic models 0.001115596
space models 0.001110677
training dataset 0.001106097
other parameters 0.001105261
global information 0.001104895
generative models 0.001100281
statistical information 0.001094571
parallel training 0.001064673
resource information 0.0010623759999999999
social tagging 0.001046899
count information 0.001045144
gold standard 0.0010385630000000002
additional information 0.001035401
position information 0.0010275290000000001
detailed information 0.0010195109999999999
evaluation results 9.996509999999998E-4
sufficient information 9.911569999999999E-4
document information 9.881109999999999E-4
other baseline 9.780919999999999E-4
information retrieval 9.73282E-4
other content 9.674359999999999E-4
tagging system 9.643919999999999E-4
training phase 9.59311E-4
tagging systems 9.49622E-4
training cost 9.464499999999999E-4
other baselines 9.406099999999999E-4
training iterations 9.39797E-4
tion performance 9.363030000000001E-4
same notation 9.266490000000001E-4
various methods 9.235949999999999E-4
suggestion performance 9.205109999999999E-4
language 9.18863E-4
translation probability 9.14239E-4
