topic model 0.00429179
topic distribution 0.0037994400000000003
topic segmentation 0.003517421
topic information 0.003498113
topic models 0.00343962
other topic 0.003389726
topic inference 0.00331167
same topic 0.003252426
topic segments 0.003224991
unsupervised topic 0.003180894
topic vector 0.003173774
topic coherence 0.0031661610000000002
topic change 0.003147576
topic quality 0.003128973
times topic 0.0031091490000000003
automatic topic 0.003105848
specific topic 0.003096129
topic identification 0.003085224
full topic 0.003077917
lar topic 0.0030682500000000002
topic extraction 0.0030658400000000002
probabilistic topic 0.00306136
topic representation 0.003054392
topic changes 0.003051227
topic assignment 0.0030455910000000003
topic modelling 0.003041212
topic mixtures 0.003034183
subjective topic 0.003031315
stant topic 0.0030309770000000002
lows topic 0.003028755
topic 0.00283781
segmentation model 0.002133591
lexical model 0.001960837
bayesian model 0.001928523
different topics 0.001902054
times word 0.001837989
word tokens 0.001836294
asr word 0.001818178
manual word 0.001811587
word error 0.0017934169999999998
word confusion 0.00178007
word assignments 0.0017720779999999998
word transcriptions 0.001764356
generative model 0.001758117
hmm model 0.0017215919999999999
experiment model 0.0017089759999999999
markov model 0.001671194
tive model 0.0016697119999999998
ture model 0.0016655539999999999
unknown model 0.001664266
model segmen 0.001653316
hiddenmarkov model 0.0016443319999999999
ing topics 0.0016405410000000001
learning topics 0.001492087
ferent topics 0.001461452
model 0.00145398
probability distribution 0.001444406
dirichlet distribution 0.0014424799999999999
particular topics 0.00143965
underlying topics 0.00141724
herent topics 0.0014020740000000001
ous topics 0.001398816
ring topics 0.0013982320000000001
same distribution 0.001376246
random words 0.001354904
different models 0.0012963240000000002
tive words 0.001248562
multinomial distribution 0.001247131
text segmentation 0.001240106
successive words 0.001223939
indicative words 0.001223939
topics 0.00120754
joint distribution 0.001201036
particular distribution 0.00119374
lexical information 0.00116716
nomial distribution 0.001154478
even distribution 0.001153342
segmentation results 0.001144003
human segmentation 0.001122692
lexical models 0.001108667
segmentation accuracy 0.001039788
words 0.00103283
segmentation problem 0.001029603
unsupervised segmentation 0.0010226950000000001
good segmentation 0.001008621
random segmentation 0.001001685
segmentation performance 9.78736E-4
segmentation quality 9.70774E-4
distribution 9.6163E-4
segmentation probabilities 9.40505E-4
segmentation problems 9.384560000000001E-4
segmentation tool 9.205789999999999E-4
segmentation boundaries 9.08928E-4
asr data 9.08513E-4
meaningful segmentation 9.04207E-4
new segment 8.962219999999999E-4
icsi data 8.949E-4
final segmentation 8.90995E-4
segmentation boundary 8.81397E-4
unsupervised method 8.76472E-4
