discourse tree 0.0031959600000000003
other features 0.003073106
discourse parsing 0.00302014
discourse segmentation 0.002952565
discourse structure 0.002894457
spade features 0.00282876
sequence features 0.0028149439999999998
full discourse 0.002781465
discourse relations 0.002780074
discourse parse 0.002774232
tion features 0.002768263
production features 0.002767147
indicator features 0.002712856
discourse boundary 0.002706619
free features 0.002683254
mentation features 0.002681025
level discourse 0.002665234
cludes features 0.002654866
presenting features 0.002654866
discourse segments 0.002640646
unlabeled discourse 0.002603639
different feature 0.002600384
spade discourse 0.0025939
automatic discourse 0.002565196
discourse treebank 0.002543452
discourse units 0.002532471
feature model 0.002498156
annotated discourse 0.002491519
discourse seg 0.002468236
penn discourse 0.00246435
discourse pars 0.002457409
hierarchical discourse 0.002442862
accurate discourse 0.002439323
discourse graphbank 0.002434055
theory discourse 0.002431897
discourse connectives 0.002430076
potential discourse 0.002424176
discourse segmen 0.002422641
tual discourse 0.002421315
features 0.00241421
feature set 0.00227572
discourse 0.00217935
feature values 0.002142145
feature sets 0.002129273
tion feature 0.0021061129999999997
primary feature 0.002101353
indicator feature 0.002050706
feature templates 0.002018153
feature development 0.002016961
position feature 0.002012981
identical feature 0.001997875
feature definitions 0.001993207
helpful feature 0.001992342
feature 0.00175206
parse tree 0.001611492
training data 0.0015804539999999998
sentence segmentation 0.0015679919999999998
parsing performance 0.001535263
segmentation model 0.001519311
segmentation performance 0.001467688
segmentation approach 0.001455178
training models 0.001452444
training set 0.0014222129999999999
accuracy segmentation 0.001414551
full sentence 0.0013968919999999998
sentence test 0.001365079
segmentation algorithm 0.001360811
tree representation 0.001353974
automatic text 0.00135334
segmentation system 0.0013417149999999998
segmentation results 0.001332303
final word 0.00130092
segmentation boundary 0.001300484
tree structures 0.001295325
syntactic parser 0.001290814
word boundaries 0.0012892469999999999
word sequence 0.001286052
sentence level 0.001280661
word string 0.001264858
system performance 0.0012629730000000001
segmentation evaluation 0.0012607809999999999
learning approach 0.0012466349999999998
current word 0.001233666
segmentation classifier 0.0012283349999999999
baseline performance 0.001227716
parsing algorithms 0.001212502
system accuracy 0.001209836
text summariza 0.0012084329999999999
data set 0.001205561
last word 0.00120446
sentence boundaries 0.001198706
unlabeled segmentation 0.0011975039999999998
segmentation unlabeled 0.0011975039999999998
parsing output 0.001193384
segmentation boundaries 0.001177144
training purposes 0.001176216
evaluation data 0.001169467
boundary accuracy 0.001168605
index word 0.001163393
word index 0.001163393
