topic model 0.0033148500000000003
topic distribution 0.00266377
topic models 0.002647206
dialogue topics 0.002307966
topic information 0.002283911
word distribution 0.00227163
dialogue system 0.0022393170000000002
language model 0.0022078510000000003
topic distributions 0.00214684
topic table 0.002118226
topic assignment 0.002087957
topic top 0.0020581180000000003
background topic 0.001997256
example dialogue 0.0019943210000000003
dialogue policy 0.001991609
common dialogue 0.001980131
tent topic 0.001972046
session topic 0.001963743
topic shifts 0.00196217
conversation model 0.0019251490000000001
current dialogue 0.0019234640000000002
dialogue systems 0.001886578
dialogue structures 0.001874934
markov model 0.001874426
dialogue sessions 0.001859566
interactive dialogue 0.001853206
baseline model 0.001852815
dialogue flow 0.001851442
dialogue sum 0.001843885
dialogue flows 0.0018386980000000002
dialogue acts 0.0018342010000000001
dialogue sys 0.001828449
ple dialogue 0.001827695
entire dialogue 0.0018273760000000001
annotated dialogue 0.001826539
dialogue session 0.001824373
model variants 0.001806945
guage model 0.001779123
word source 0.0017746300000000001
hmmss model 0.001770248
topic 0.00175303
additional word 0.0017001849999999999
word error 0.0016986570000000001
other words 0.001680868
word sources 0.001646658
dialogue 0.00161366
wise word 0.001572099
different models 0.001568954
model 0.00156182
language models 0.001540207
next state 0.0014980179999999998
other topics 0.001463126
state transition 0.001462769
previous state 0.001405805
state assignment 0.001388427
latent state 0.001385833
state transitions 0.001373445
different topics 0.001369084
current state 0.001363304
source distribution 0.00132448
meaningful state 0.001294291
underlying state 0.001287189
state diagram 0.0012737269999999999
state represen 0.001269052
specific models 0.001265803
generative models 0.001265659
abilistic state 0.001262408
computational models 0.001253693
only words 0.001215918
unsupervised models 0.0012085099999999999
markov models 0.001206782
baseline models 0.001185171
tive models 0.001178533
different states 0.001151502
low words 0.001145207
stop words 0.001142693
other bus 0.001127131
ranked words 0.001126875
index words 0.00112656
beta distribution 0.0011262260000000001
generator distribution 0.001126209
support data 0.001108046
tational models 0.0011029009999999999
sation models 0.0011029009999999999
state 0.0010535
training likelihood 0.00104514
latent topics 0.001026639
test corpus 0.001022528
time information 0.001021477
other symbols 9.78824E-4
different ways 9.78201E-4
test set 9.64969E-4
different sources 9.605460000000001E-4
system verification 9.54365E-4
user responses 9.467289999999999E-4
system check 9.291449999999999E-4
observed data 9.21903E-4
sequential data 9.21903E-4
different datasets 9.21141E-4
problem agent 9.17975E-4
