dialogue act 0.00677759
dialogue system 0.00618885
multiple dialogue 0.005697326
different dialogue 0.005694867
specific dialogue 0.005538135
conversational dialogue 0.0055237689999999996
human dialogue 0.005508324
dialogue acts 0.005504538
single dialogue 0.005488153
dialogue systems 0.005478272
key dialogue 0.005441449
only dialogue 0.00542746
common dialogue 0.005427398
possible dialogue 0.005419172999999999
unique dialogue 0.00541895
manual dialogue 0.00540646
optimal dialogue 0.005376967
dialogue sys 0.005370176
ith dialogue 0.005353717
gle dialogue 0.005352066999999999
versational dialogue 0.005347983
tiple dialogue 0.005347983
dialogue 0.00507804
speech act 0.002398406
act annotation 0.002198573
user utterances 0.002128379
act labels 0.002108874
act classifier 0.002108618
act label 0.002101163
logue act 0.002074577
act type 0.002043926
alogue act 0.002041623
act detection 0.002032688
act segment 0.002018373
act segmentation 0.001978602
act class 0.001974723
act classes 0.001973155
act anno 0.0019689959999999998
other training 0.0017349000000000002
user intent 0.001699425
training data 0.00162238
other words 0.0015921379999999999
input utterance 0.001490641
logue system 0.001485837
training set 0.001468118
alogue system 0.001452883
semantic information 0.001377554
multiple speech 0.001318142
first word 0.00131483
ing data 0.001283518
annotated utterance 0.001266479
utterance segments 0.00120793
other variations 0.001204302
utterance lengths 0.001192279
input text 0.001183191
frequency information 0.00118085
enough training 0.001160948
word sequence 0.001154947
nlu training 0.0011433530000000002
system 0.00111081
single utterances 0.001110642
single speech 0.001108969
training sets 0.001101419
corresponding training 0.001092061
limited training 0.0010826870000000001
original training 0.00108263
training fold 0.001080709
ith training 0.001079361
training procedure 0.00107451
training material 0.00107451
label set 0.001066047
average number 0.0010653939999999999
only utterances 0.001049949
text classifier 0.001023279
individual utterances 0.0010201939999999999
segment utterances 0.0010193519999999998
short utterances 0.001016947
separate utterances 0.001011188
small set 0.001002536
predefined set 9.95347E-4
multiple dia 9.93346E-4
core speech 9.88839E-4
ith word 9.88657E-4
word span 9.85177E-4
word indices 9.85177E-4
word interval 9.85177E-4
gle utterances 9.745559999999999E-4
probability score 9.612570000000001E-4
entire set 9.51199E-4
function words 9.42532E-4
maximum entropy 9.421119999999999E-4
high accuracy 9.39138E-4
cific words 9.374909999999999E-4
confidence score 9.29852E-4
positive example 9.25286E-4
significant improvement 9.222569999999999E-4
utterance 9.21661E-4
nlu approach 9.12147E-4
several dozens 9.11109E-4
first base 9.092600000000001E-4
