summarization model 0.0026056200000000003
summary sentence 0.00256528
summary word 0.00241609
different summarization 0.0022566590000000003
summary sentences 0.002193429
summarization models 0.002152254
length summary 0.002056569
summary length 0.002056569
document summarization 0.002030252
text summarization 0.001955913
summary evaluation 0.001885242
summarization systems 0.0018847780000000001
word length 0.001882679
summarization bayesian 0.001871009
summarization problem 0.0018636990000000001
extractive summarization 0.0018063380000000002
various summarization 0.001775143
summarization approaches 0.0017714690000000001
unsupervised summarization 0.001771306
summarization techniques 0.001761212
summarization tasks 0.0017552400000000001
sentence selection 0.0017291890000000001
bnp summarization 0.001726928
topic models 0.0017175839999999999
summarization sys 0.0017082080000000001
ferent summarization 0.001684668
abstractive summarization 0.001683061
generic summarization 0.0016778650000000002
summarization most 0.0016758320000000001
document word 0.0016739620000000002
good summary 0.001671657
sentence scores 0.001669528
automatic summary 0.001669289
sentence set 0.001652953
average summary 0.001618738
optimal summary 0.001613904
short summary 0.001595612
model selection 0.001587129
summary size 0.001586152
sentence ranking 0.001576637
ing summary 0.001561232
proper summary 0.00155928
long summary 0.001547624
summary lengths 0.001538289
linear model 0.001508091
random model 0.001503976
corresponding summary 0.001500012
summary qualities 0.001499355
recommended summary 0.001492655
varying summary 0.001489659
cremental summary 0.001489659
analysis model 0.001485164
summarization 0.00147739
sentence selec 0.0014715610000000001
word vector 0.0014665950000000002
tion model 0.001452246
markov model 0.001433116
word weight 0.0014289720000000001
lexrank model 0.001424027
representation model 0.001400774
topic analysis 0.001399654
bnp model 0.0013777680000000001
topic weight 0.001350592
reconstruction model 0.001346257
sion model 0.001339112
nonparametric model 0.001337802
regression model 0.001329005
resentation model 0.00132317
ﬁrst model 0.00132317
hdp model 0.00132317
same length 0.001315195
topic distributions 0.001301264
summary 0.00129499
human models 0.0012945349999999999
topic sets 0.001286742
topic dis 0.001284658
sentence 0.00127029
additional sentences 0.001243916
select sentences 0.001171688
length problem 0.001147888
data compression 0.001139347
original length 0.001136381
model 0.00112823
active sentences 0.001121698
rank sentences 0.001107751
mary sentences 0.001104657
new data 0.00110173
data set 0.001101361
original data 0.0010935
different datasets 0.0010886519999999998
average length 0.001085327
different clusters 0.00107615
reference summaries 0.001056616
different number 0.001054551
output summaries 0.001044356
rouge evaluation 0.00104279
topic 0.00104272
analysis models 0.001031798
proper length 0.001025869
different lengths 0.001022568
