dialogue act 0.00589887
other dialogue 0.005327681999999999
dialogue classification 0.005166496
ing dialogue 0.005015405
dialogue structure 0.004987642
dialogue cues 0.0049526909999999995
dialogue systems 0.004904263
dialogue corpora 0.0048821609999999994
dialogue analysis 0.004847067
dialogue acts 0.004844599999999999
future dialogue 0.004843953999999999
multimodal dialogue 0.004790638
ken dialogue 0.004765973999999999
matic dialogue 0.004758938
whole dialogue 0.0047578889999999995
analysing dialogue 0.0047578889999999995
dialogue tran 0.0047578889999999995
dialogue 0.00449431
act utterance 0.00245429
speech recognition 0.00215576
act classification 0.002076746
other features 0.0020161019999999997
act labels 0.001803477
act classifier 0.0018007280000000001
act distribution 0.001751777
user requests 0.0017388
act sets 0.001711155
acoustic features 0.0016925269999999999
act tags 0.001691445
utterance number 0.001679799
act taxonomies 0.001673933
act classifications 0.0016682630000000001
act pairings 0.001667772
act markup 0.001667772
bow features 0.001600003
new features 0.0015878919999999998
various features 0.0015853599999999999
different feature 0.001580883
classification task 0.001567325
useful features 0.001558313
utterance structure 0.001543062
task corpus 0.001542901
previous utterance 0.001521423
effective features 0.0015021799999999999
current speech 0.001501712
dependency features 0.001492612
structural features 0.0014864899999999998
additional information 0.0014831690000000001
features table 0.001476987
ent features 0.001457995
prosodic features 0.001452155
natural speech 0.001450705
several utterances 0.001448057
same task 0.001440958
utterance position 0.001434319
feature words 0.001426057
second utterance 0.001419254
training data 0.001410062
speech char 0.001399798
utterance distribution 0.001396947
information level 0.001392781
previous utterances 0.001384402
sequential information 0.001369054
utterance dependency 0.001359612
utterance author 0.001354817
information our 0.0013454370000000001
dependency information 0.001343872
author information 0.0013390770000000001
structural information 0.00133775
ous utterance 0.001336055
target utterance 0.00133397
recognition technologies 0.001329001
information gain 0.0013252720000000002
information services 0.0013170270000000001
utterance num 0.001313814
recognition errors 0.001309732
information delivery 0.0013043920000000001
indirect information 0.001299234
tural information 0.001299234
short utterances 0.001238114
utterances changes 0.0012296
tion feature 0.001228057
tween utterances 0.001219651
feature weighting 0.001209536
feature learners 0.001203916
feature weight 0.001197795
adjacent utterances 0.001196233
features 0.00118273
segmented utterances 0.001177923
discourse model 0.0011743629999999999
feature selection 0.001173927
feature acc 0.001173306
other learners 0.00117232
feature sets 0.001171563
delivery task 0.001165541
classification accuracy 0.001164271
machine learning 0.001163541
map task 0.001161516
hcrcmap task 0.0011600949999999999
other ways 0.0011547649999999999
