sentence cluster 0.00226257
sentence clustering 0.002164953
different cluster 0.00213999
other sentence 0.001850318
sentence clusters 0.001819985
new sentence 0.001801466
good sentence 0.00174233
other sentences 0.001739638
summarization information 0.001717324
different clusters 0.001697405
same cluster 0.001686017
sentence set 0.0016816230000000001
work sentence 0.001666275
clustering data 0.0016632230000000001
clustering algorithm 0.0016487
task sentences 0.00164005
similar information 0.0016355170000000002
different document 0.0016212940000000001
first sentence 0.001613586
similar sentences 0.0016070770000000002
different level 0.001602392
important information 0.0015988920000000002
different documents 0.001588344
sentence sets 0.001549188
cluster method 0.001542461
rushdie sentence 0.001531865
sentence boundary 0.001518106
common information 0.0015167730000000001
irrelevant sentence 0.00150487
information mutual 0.0014875180000000002
mutual information 0.0014875180000000002
each sentence 0.00148284
only sentences 0.001481685
different properties 0.0014534600000000002
whole sentences 0.0014416840000000002
different sets 0.001426608
different reports 0.001423636
cluster set 0.0014070929999999999
redundant information 0.0014041420000000002
single cluster 0.001399956
irrelevant sentences 0.00139419
standard clustering 0.001388248
clustering task 0.001378583
different ways 0.001377058
different applica 0.0013732050000000002
sentences ofd 0.001368452
paraphrases sentences 0.001368452
evant sentences 0.001368452
tains sentences 0.001368452
different sources 0.001365295
cluster label 0.001335975
initial cluster 0.001335826
important clustering 0.001308985
cluster sets 0.001274658
cluster vbeta 0.001272414
sentence 0.00126855
bucket cluster 0.001241704
true cluster 0.001238269
ideal cluster 0.001227916
bad cluster 0.001220862
suitable cluster 0.0012171249999999999
separate cluster 0.0012089779999999999
tant cluster 0.001204563
same number 0.0012035610000000001
information 0.00118631
manual clustering 0.00118411
data set 0.001179893
same document 0.001167321
clustering solution 0.001158687
sentences 0.00115787
tence clustering 0.001145151
same class 0.001132831
important topic 0.001132667
other words 0.001131017
clustering check 0.001110969
perfect clustering 0.001109366
continue clustering 0.001107012
same event 0.0010799339999999998
same time 0.001077492
mds system 0.001076168
evaluation method 0.001069491
document clusters 0.001026759
data points 0.001020437
summarization task 0.001013194
standard evaluation 0.001012895
good evaluation 9.9483E-4
cluster 9.9402E-4
same effect 9.78944E-4
system mead 9.77576E-4
evaluation methods 9.753380000000001E-4
same paragraph 9.68764E-4
evaluation measure 9.682989999999999E-4
same way 9.660179999999999E-4
same amount 9.62495E-4
other judge 9.51828E-4
same object 9.29639E-4
clusters judge 9.21495E-4
method judge 9.18501E-4
evaluation measures 9.142309999999999E-4
same day 9.04505E-4
