email speech 0.00262203
speech act 0.0024306299999999996
other email 0.002106299
email verbs 0.002070292
learning email 0.002054377
different email 0.002048215
email corpus 0.002039063
such speech 0.0018864379999999998
new email 0.0018855859999999999
act verbs 0.001878892
email message 0.001860409
email thread 0.0017683349999999998
multiple email 0.0017377539999999998
single email 0.001728814
email messages 0.001720999
email assistant 0.001715762
other data 0.001712715
email corpora 0.001695577
several speech 0.001682624
email interactions 0.0016691149999999999
email user 0.001668264
email request 0.001646181
similar speech 0.0016078
tic email 0.0016060279999999998
conversational speech 0.00160407
email accord 0.0016005339999999998
cspace email 0.001600399
hypothetical email 0.001598775
email headers 0.001594142
email sender 0.00159057
email datasets 0.001589762
unstructured email 0.001589762
possible speech 0.00158414
act kappa 0.001538996
speech acts 0.001518818
implicit speech 0.0014851679999999998
speech tagging 0.0014848729999999998
commissive act 0.0014838669999999998
directive act 0.0014692099999999999
text classification 0.001457879
compositional speech 0.0014549729999999998
nested speech 0.0014549729999999998
request act 0.001454781
legitimate speech 0.0014521669999999999
message features 0.001444811
act theory 0.001431005
email 0.00137942
classification learning 0.00135738
test data 0.001338372
activity data 0.0012827819999999999
data files 0.001271875
data error 0.0012713009999999999
additional features 0.001259664
data opinion 0.001252036
speech 0.00124261
data committee 0.001230817
different feature 0.001216501
train data 0.001214438
different work 0.0012083789999999999
logistics data 0.00119867
such feature 0.0011915340000000002
difficult topic 0.0011340950000000001
several verbs 0.001130886
learning systems 0.001112575
such systems 0.001081446
common verbs 0.001070898
many work 0.001059102
other types 0.0010568840000000001
baseline learning 0.001053404
such categories 0.001053025
task other 0.00105178
learning models 0.001044989
sequential learning 0.001033946
learning system 0.001032401
learning method 0.001027283
classification methods 0.001023795
learning methods 0.001016329
cal text 0.001010227
tree learning 0.001009572
word frequency 0.00100677
ing research 9.97577E-4
text classifi 9.96974E-4
information nouns 9.90014E-4
japanese text 9.87798E-4
topical classification 9.859410000000002E-4
different classes 9.85692E-4
classification problems 9.73516E-4
directive verbs 9.720620000000001E-4
activity information 9.719310000000001E-4
test set 9.71856E-4
weighted word 9.71113E-4
classification accuracy 9.7042E-4
single set 9.687140000000001E-4
features 9.63822E-4
other short 9.60376E-4
verbs request 9.57633E-4
greet other 9.575E-4
other negotiate 9.57495E-4
binary classification 9.556160000000001E-4
many categories 9.287149999999999E-4
