topic model 0.00522431
topic models 0.004615582
different topic 0.004543253000000001
topic modeling 0.0042727500000000005
modeling topic 0.0042727500000000005
topic adaptation 0.004159975
topic approach 0.004137666
way topic 0.004081696
topic frequency 0.004052961
traditional topic 0.0040496230000000005
single topic 0.004046535
ent topic 0.004046223
ferent topic 0.004027243
combination topic 0.004022072
topic clusters 0.004014692
topic sum 0.0040117370000000005
tions topic 0.004010533
topic adaptations 0.004006092
topic identification 0.0039905
topic granularity 0.0039893080000000004
topic mod 0.003984865000000001
topic application 0.003980698
inverse topic 0.00397843
topic relatedness 0.00397653
standalone topic 0.00397653
medium topic 0.00397653
topic granularities 0.00397653
topic segmentations 0.00397653
topic defini 0.00397653
topic 0.00376579
topics model 0.00313129
same word 0.002269481
word prediction 0.002094525
language model 0.002041045
aac word 0.002039245
current word 0.001974389
relevant topics 0.0019695290000000002
related topics 0.001938819
annotated topics 0.001903972
granularity topics 0.001896288
switchboard topics 0.001893015
tated topics 0.001884443
model type 0.001881146
word occurrence 0.0018686139999999998
offer word 0.0018642139999999999
style model 0.001832623
baseline model 0.001793195
trigram model 0.0017571730000000001
frequency model 0.0017456910000000002
unigram model 0.001738531
overall model 0.001734497
ngram model 0.001728364
combination model 0.001714802
training data 0.001710185
reasonable model 0.001701386
topics 0.00167277
tial model 0.0016692970000000001
adaptive model 0.0016692970000000001
other words 0.0015844470000000001
probability distribution 0.001553769
model 0.00145852
additional data 0.001442732
language models 0.001432317
training text 0.001407107
ing data 0.0013786039999999999
common words 0.00129385
testing data 0.0012588389999999999
data sparseness 0.001254264
data sets 0.001243778
sparse data 0.001236818
dissimilar data 0.001223646
conditional distribution 0.001219587
current document 0.001179881
fringe words 0.001152495
trigram models 0.001148445
document frequency 0.001145563
latent semantic 0.00113438
individual document 0.00113025
unigram models 0.001129803
stale words 0.001126425
pair models 0.0011232310000000001
other methods 0.001119786
ngram models 0.001119636
training documents 0.001114782
automatic document 0.001112709
document clusters 0.001107294
testing document 0.001104991
aac text 0.0010955070000000001
language modeling 0.0010894849999999998
different task 0.001072703
inverse document 0.001071032
different corpora 0.001068701
probability distributions 0.001068443
backoff models 0.0010637440000000001
similar text 0.0010596680000000002
training time 0.001049863
current text 0.001030651
relevant text 0.0010059210000000001
different granularity 0.001000981
relevant training 9.947040000000001E-4
