baseline model 0.004299448
mixture model 0.004234589
computational model 0.004171099
crf model 0.004044355
only model 0.004028272
unimodal model 0.003993476
generic model 0.003975313
tational model 0.0039749780000000005
putational model 0.003971025
model 0.00374366
syntactic features 0.002033076
lexical features 0.001998017
speaker features 0.00150809
following features 0.001478991
baseline models 0.001474081
multimodal features 0.001465083
contextual features 0.0014214079999999999
predictive features 0.001414497
training set 0.00125684
test performance 0.00125312
prediction models 0.00124291
models consensus 0.001234667
different set 0.001208174
wisdom data 0.00119748
different listener 0.00118055
features 0.00117501
ldcrf models 0.001172761
syntactic structure 0.001171595
different point 0.001167716
expert models 0.001165037
other baseline 0.001151898
tational models 0.001149611
training machine 0.001146866
same number 0.001125732
feature ranking 0.001120892
syntactic head 0.001111044
same speaker 0.001103925
training labels 0.001080779
new approach 0.00107484
pos tag 0.001065168
time figure 0.001060481
pause pos 0.00105412
prosodic feature 0.0010488070000000001
different weighting 0.001037477
interaction data 0.001036547
same situation 0.00103508
simple words 0.0010242110000000001
first baseline 0.001016266
pos tags 0.001011591
different experts 0.001005546
same series 9.99644E-4
different lis 9.86872E-4
pitch pos 9.837869999999999E-4
new method 9.71289E-4
other research 9.6368E-4
probabilistic approach 9.55048E-4
visual information 9.4607E-4
similar approach 9.45283E-4
conditional random 9.36192E-4
tic information 9.325819999999999E-4
prediction results 9.21837E-4
such fluid 9.187819999999999E-4
models 9.18293E-4
new listener 9.17733E-4
see figure 8.76747E-4
last baseline 8.75425E-4
sub pos 8.74138E-4
this baseline 8.607759999999999E-4
syntactic 8.58066E-4
pcs approach 8.4731E-4
first step 8.36349E-4
wisdom listener 8.32421E-4
unimodal approach 8.305879999999999E-4
imental results 8.27243E-4
random classifier 8.25902E-4
current method 8.14273E-4
generic approach 8.124250000000001E-4
feature 8.11382E-4
wisdom analysis 8.09569E-4
learning tasks 8.0601E-4
training 8.05551E-4
listener backchannel 8.03695E-4
random fields 8.029549999999999E-4
crf mixture 7.91624E-4
pause table 7.906409999999999E-4
dependency parser 7.84959E-4
machine learning 7.77338E-4
ing backchannel 7.76641E-4
pitch pause 7.71439E-4
tion values 7.68103E-4
random field 7.6791E-4
latent mixture 7.46961E-4
wisdom dataset 7.46815E-4
individual listener 7.43366E-4
real time 7.38327E-4
gold standard 7.35413E-4
multiple sequence 7.34912E-4
new com 7.321459999999999E-4
standard annotation 7.30691E-4
listener feedback 7.28163E-4
