queries query 0.0027256299999999997
query length 0.002221659
attribute query 0.001869677
bad query 0.0018206329999999999
web queries 0.001817305
query expansion 0.001810128
itself query 0.001806829
intersection query 0.0017989199999999999
model questions 0.001795677
identification query 0.001774567
large information 0.0017359749999999998
test queries 0.001667875
baseline queries 0.001612292
query 0.00155938
question length 0.0015569260000000001
search engine 0.001528551
search service 0.001521473
search engines 0.001515274
good queries 0.0015093189999999999
information need 0.0015085119999999998
search applications 0.001503336
internet search 0.001494854
predictive model 0.001491057
training set 0.0014807639999999999
common information 0.0014703059999999998
current model 0.001455831
queries figure 0.001443205
bad queries 0.0014275029999999999
itself queries 0.001413699
intersection queries 0.00140579
first set 0.001400966
mation model 0.001395395
first word 0.001392957
tersection queries 0.0013816079999999999
probabilistic information 0.0013795679999999999
frequent information 0.001374854
mixed model 0.001368587
helpful information 0.001361195
split information 0.00135615
certain information 0.001351641
information needs 0.0013480469999999998
predictiononly model 0.00134686
dictiononly model 0.001344275
perfectinformation model 0.001344275
tiononly model 0.001344275
linguistic features 0.001343151
information provider 0.001339248
able information 0.0013340029999999998
information spaces 0.001330661
test set 0.0013077
training data 0.001277204
search 0.00127289
different training 0.001255017
hybrid features 0.001210588
tic features 0.001188979
ing set 0.001181545
second set 0.001179545
structural features 0.001179366
guistic features 0.0011776830000000001
category other 0.001177339
tract features 0.0011724
tural features 0.0011724
queries 0.00116625
question table 0.00116183
question answering 0.001135276
other target 0.001135047
model 0.00112822
information 0.00111204
statistical models 0.001091064
single answer 0.001083194
set sizes 0.0010633449999999998
predictive models 0.001054327
component answer 0.001051244
testing set 0.001050898
predictive performance 0.001047657
set con 0.001046411
direct answer 0.0010463830000000001
detailed answer 0.001045585
exact answer 0.001025059
set increases 0.001024276
other details 0.001023993
other runs 0.001019081
paragraph answer 9.96032E-4
length distribution 9.93038E-4
training sets 9.84672E-4
propriate answer 9.78381E-4
ing data 9.77985E-4
content words 9.744459999999999E-4
attribute length 9.72576E-4
tags words 9.59753E-4
probabilistic models 9.590180000000001E-4
our models 9.58845E-4
features 9.56178E-4
wide web 9.48016E-4
language processing 9.456040000000001E-4
such enhancement 9.34898E-4
similar results 9.3201E-4
natural language 9.314600000000001E-4
length categories 9.2629E-4
performance comparison 9.229520000000001E-4
