topic model 0.0041423810000000005
different topic 0.0040646630000000005
topic models 0.003828455
email topic 0.003778224
topic lda 0.003725493
same topic 0.003695124
topic level 0.003689115
topic distributions 0.003687475
similar topic 0.00366401
topic number 0.003657524
topic segmentation 0.003632409
average topic 0.0036128790000000003
new topic 0.003611869
single topic 0.0035691150000000003
path topic 0.003553269
generative topic 0.0035341920000000002
topic annotation 0.0035050230000000003
annotation topic 0.0035050230000000003
topic assignment 0.003498536
topic length 0.003487693
probabilistic topic 0.003481706
topic density 0.00348114
automatic topic 0.003459416
topic labels 0.003458131
topic distribu 0.003449216
topic assignments 0.003439925
topic boundaries 0.0034328450000000003
actual topic 0.0034288210000000003
separate topic 0.003428223
appropriate topic 0.003428005
topic boundary 0.003424019
topic segmen 0.003421225
predefined topic 0.003420976
sequential topic 0.003419845
topic shifts 0.003413099
jth topic 0.003412168
topic shift 0.003412168
topic 0.00320928
word distributions 0.001904425
word order 0.00172606
ith word 0.0016823049999999998
word repetitions 0.001644146
word choice 0.001644102
word network 0.0016432069999999998
dirichlet distribution 0.001574757
multiple topics 0.001531167
first model 0.001469771
lda model 0.001449314
predefined topics 0.0013927459999999998
relevant topics 0.00138861
finding topics 0.001386888
multinomial distribution 0.001366826
tween words 0.001315727
cue words 0.001314452
second model 0.001313146
different number 0.001303627
email corpus 0.00129046
such email 0.001282545
connected words 0.0012787760000000001
cut model 0.001246543
different segments 0.0012092650000000002
basic model 0.001206192
lcseg model 0.001193848
topics 0.00118105
different system 0.0011612290000000002
different top 0.001144636
lda models 0.001135388
different times 0.0011333200000000002
different annotations 0.001122285
different people 0.001110115
different paths 0.001108519
first email 0.001105614
lexical information 0.001097742
words 0.001072
different color 0.001071294
different col 0.001064674
different parameterization 0.001059908
different locations 0.001059908
standard corpus 0.001057828
email level 0.0010487790000000001
segmentation models 0.001042304
distribution 0.0010368
lda lda 0.001032426
document set 0.001017406
other domain 9.81108E-4
high probability 9.70018E-4
corpus statistics 9.448649999999999E-4
own corpus 9.437369999999999E-4
latent dirichlet 9.43123E-4
sentence level 9.37125E-4
model 9.33101E-4
text segmentation 9.196060000000001E-4
other nodes 9.1204E-4
email thread 9.023340000000001E-4
similar method 8.97999E-4
dirichlet tree 8.97443E-4
basic models 8.922660000000001E-4
semantic relations 8.82416E-4
lcseg models 8.79922E-4
source email 8.77763E-4
