question classification 0.003140515
question analysis 0.0031315040000000002
same question 0.003094125
question focus 0.003059168
question types 0.00305434
question answering 0.002933371
question level 0.0029035320000000003
question classifica 0.0028461380000000002
portable question 0.0028453180000000003
answer type 0.002702057
question 0.00260011
pected answer 0.002074479
answer 0.00183006
italian questions 0.001786489
danish questions 0.001741356
class word 0.0016969200000000002
semantic features 0.001580276
questions 0.00150111
word level 0.001485392
word tagging 0.0014513680000000002
word count 0.001448405
word operas 0.00143903
classification system 0.0013995079999999998
test data 0.001358554
training set 0.0013404950000000001
type extraction 0.001307094
extraction system 0.0012942
answering system 0.001192364
swer type 0.001188129
source data 0.001174727
annotated data 0.001168984
features 0.00115704
parse information 0.001153565
system architecture 0.001141768
structured data 0.0011357820000000001
system output 0.00112368
ontological information 0.00111778
information integration 0.001115735
ontological type 0.001114921
evaluation results 0.001113871
previous work 0.00107506
correct class 0.001023936
focus accuracy 0.001016423
limited training 9.96969E-4
related work 9.74905E-4
main topic 9.3811E-4
overall accuracy 9.37131E-4
set size 9.2826E-4
learning techniques 9.26327E-4
future work 9.257199999999999E-4
machine learning 9.217510000000001E-4
class precision 9.18222E-4
other hand 9.139879999999999E-4
subsequent search 9.05414E-4
overall number 8.987250000000001E-4
accuracy value 8.97251E-4
focus extraction 8.94155E-4
extraction focus 8.94155E-4
topic map 8.87038E-4
particular topic 8.869310000000001E-4
annotation class 8.78781E-4
information 8.74856E-4
empirical approach 8.67579E-4
mathematical model 8.65893E-4
analysis module 8.640340000000001E-4
novel approach 8.616440000000001E-4
complex task 8.606449999999999E-4
system 8.59103E-4
same machine 8.57178E-4
exact accuracy 8.54563E-4
eat results 8.44205E-4
eat performance 8.35461E-4
total number 8.304440000000001E-4
dynamic classification 8.21458E-4
opera topic 8.200060000000001E-4
topic maps 8.16247E-4
lenient accuracy 8.1046E-4
eat class 7.98914E-4
same measure 7.96897E-4
class count 7.81385E-4
syntactic parse 7.7742E-4
ing point 7.76964E-4
class location 7.754000000000001E-4
human annotators 7.739310000000001E-4
askingpoint class 7.62314E-4
focus extractor 7.591239999999999E-4
training 7.5234E-4
correct classifications 7.4882E-4
notated corpus 7.434459999999999E-4
focus constraint 7.39932E-4
eat classifier 7.27957E-4
implicit focus 7.19266E-4
eat extraction 7.19061E-4
extraction eat 7.19061E-4
explicit focus 7.1623E-4
extraction flow 7.13079E-4
nominal phrase 7.11468E-4
answers 6.94261E-4
noun phrase 6.92585E-4
tion module 6.878019999999999E-4
