new sentence 0.0025414110000000004
first sentence 0.0024446750000000003
last sentence 0.00230698
sentence extraction 0.0022992420000000004
sentence sequence 0.0022901700000000002
sentence extrac 0.002228443
sentence 0.00201005
summarization method 0.001979482
other sentences 0.001893221
sentiment summarization 0.0018526390000000001
text summarization 0.0017480719999999998
new sentences 0.0016552810000000002
same sentences 0.001633373
human summarization 0.001592414
order sentences 0.0014930870000000001
rouge score 0.001448572
other words 0.001437968
adjacent sentences 0.001368801
ment summarization 0.001344791
plicative sentences 0.00133967
intended sentences 0.00133967
readability score 0.001335604
score readability 0.001335604
maximum score 0.001270667
good summary 0.001256659
textual summaries 0.001228805
informativeness score 0.001210113
mum score 0.001194793
ness score 0.001181901
mativeness score 0.001181248
reference summaries 0.001145392
sentences 0.00112392
method gener 0.001123195
typical summary 0.0011091010000000001
summarization 0.00107621
sentiment extraction 0.001065621
complex information 0.0010601220000000001
feature vector 0.0010576370000000002
positive sentiment 0.001057594
sentiment numbers 0.001048027
sentiment expression 0.001041056
sentiment summa 0.001039575
content words 0.0010367599999999999
ing feature 0.0010362190000000001
other outputs 0.0010340240000000001
negative sentiment 0.001031741
readable summaries 0.0010282050000000001
byte summaries 0.001025958
above sentiment 0.001023697
rouge evaluation 0.001018227
sentiment lexicon 0.001013363
sentiment expressions 0.001011194
sentiment lex 0.00100686
same aspect 0.0010035320000000001
japanese sentiment 9.986700000000001E-4
unique sentiment 9.95175E-4
document 9.94684E-4
ularly sentiment 9.92644E-4
itive sentiment 9.92644E-4
sentiment extractor 9.92644E-4
other references 9.86322E-4
rouge scores 9.84379E-4
parameter vector 9.68085E-4
score 9.6602E-4
automatic text 9.43873E-4
weight parameter 9.2633E-4
first work 9.25971E-4
readability evaluation 9.052590000000001E-4
method 9.03272E-4
model 8.99125E-4
different summarizers 8.918889999999999E-4
text comprehension 8.91598E-4
human readability 8.85788E-4
dependency tree 8.79964E-4
summary 8.76579E-4
such representations 8.756200000000001E-4
training set 8.72039E-4
readability scores 8.714110000000001E-4
such piece 8.355880000000001E-4
search algorithm 8.35119E-4
feature vectors 8.34609E-4
summaries 8.09097E-4
global order 7.935290000000001E-4
evaluation experiments 7.921149999999999E-4
future work 7.88263E-4
similar aspects 7.861630000000001E-4
sentiment 7.76429E-4
evaluation criteria 7.64096E-4
automatic rouge 7.54563E-4
good readability 7.496639999999999E-4
target documents 7.465880000000001E-4
readability readability 7.39168E-4
dependency trees 7.38683E-4
human judges 7.378230000000001E-4
information 7.30961E-4
important infor 7.25458E-4
trained parameter 7.25128E-4
ing atmosphere 7.23586E-4
ability scores 7.216830000000001E-4
karp algorithm 7.15848E-4
