different feature 0.002103528
lexical features 0.002088708
tag features 0.001977872
contextual features 0.001872904
local features 0.001817572
acoustic features 0.001810361
main features 0.001799663
structural features 0.001768736
tual features 0.001767968
feature set 0.001744676
first feature 0.0017429169999999999
durational features 0.0017163220000000002
matic features 0.0017128080000000001
tural features 0.001707985
other speaker 0.0016719859999999999
speaker information 0.0016302460000000001
feature selection 0.00158118
feature functions 0.0015713189999999998
training data 0.0015572989999999998
feature sets 0.001534557
rich feature 0.0015041899999999999
incremental feature 0.0015039279999999999
features 0.00146944
probability model 0.001397069
test data 0.001370565
speaker speech 0.001355653
sequence information 0.001349264
sequence data 0.001343718
same speaker 0.00133153
other labels 0.001322315
contextual information 0.001310449
other speakers 0.0012879
entropy model 0.001276507
feature 0.00126141
pair information 0.001258154
function words 0.001214803
backchannel other 0.001214295
tual information 0.001205513
same probability 0.001196536
ranking model 0.001194954
helpful information 0.001185781
model parameters 0.0011830249999999999
different speakers 0.001181293
entire data 0.001159896
speaker ranking 0.001109413
answer pairs 0.001102713
next speaker 0.001084651
machine learning 0.001080947
network model 0.001077392
cal model 0.001075201
cue word 0.001069102
agreement class 0.001066974
conditional probability 0.001060005
recent speaker 0.0010546
right speaker 0.001054506
conditional models 0.00104564
entropy models 0.001041607
annotated corpus 0.0010375319999999999
corresponding speaker 0.001028489
classification problem 0.00102801
previous tag 0.001027622
learning framework 0.001023939
transitivity dependency 0.0010214059999999999
previous work 0.001007266
last word 0.001006445
same con 0.001004297
pragmatic function 0.001003912
label dependency 0.001000733
probability distribution 9.93934E-4
direct dependency 9.93802E-4
next speech 9.93782E-4
potential speaker 9.9335E-4
speaker turn 9.88996E-4
probable speaker 9.88283E-4
speech rate 9.874979999999998E-4
entire speaker 9.81718E-4
content words 9.75895E-4
speaker interaction 9.70268E-4
spurt speech 9.69236E-4
speaker seconds 9.64674E-4
learning paradigm 9.64603E-4
ticularly speaker 9.61081E-4
speaker personalities 9.61081E-4
accuracy table 9.57156E-4
ranking accuracy 9.54758E-4
tag sequence 9.507109999999999E-4
other 9.48725E-4
general cue 9.45577E-4
international speech 9.29952E-4
class distribution 9.28877E-4
adjacency pairs 9.25423E-4
dependency spans 9.246129999999999E-4
classification results 9.15541E-4
probability dis 9.089689999999999E-4
such enumeration 9.07188E-4
information 9.06985E-4
baseline algorithm 9.04407E-4
accuracy baseline 9.01056E-4
empirical evidence 8.97117E-4
selection algorithm 8.917269999999999E-4
