preposition error 0.004685679999999999
different error 0.004385913
error task 0.00409641
error detection 0.0040483509999999995
error rate 0.004035049
grammatical error 0.004002175
sition error 0.003873263
classes error 0.003867381
error instances 0.003865333
error rates 0.003850844
ous error 0.003833459
matical error 0.003829679
error sparsity 0.00382821
error 0.00355955
preposition errors 0.00269469
system evaluation 0.0025202690000000003
single system 0.002233671
language model 0.002233617
detection system 0.002226491
system development 0.002130222
system comparison 0.002082965
confusion errors 0.00203521
system com 0.002023224
system perfor 0.002015343
revamping system 0.002007755
enabling system 0.002007755
article errors 0.002002064
esl errors 0.0019591730000000003
usage errors 0.001896558
fusion errors 0.001860218
same data 0.001770909
system 0.00173769
specific preposition 0.001641102
second language 0.0016221439999999998
different evaluation 0.001608942
preposition confusion 0.0015927799999999998
errors 0.00156856
foreign language 0.00156353
word sense 0.001562758
eign language 0.001562693
preposition annotation 0.0014966799999999998
target preposition 0.001494336
detection systems 0.00148278
middle word 0.00145912
preposition usage 0.0014541279999999998
extraneous preposition 0.001441431
preposition instances 0.001431913
such quality 0.001411929
unweighted case 0.001371059
evaluation set 0.0013647960000000002
case study 0.0013605330000000001
contentious case 0.001355403
multiple systems 0.0013187680000000001
ideal case 0.001308533
ferent systems 0.00129724
perc systems 0.001287627
language 0.00128339
tection systems 0.0012656990000000001
same features 0.001260989
common corpus 0.001258319
same sentence 0.001217039
human judgments 0.001215601
different levels 0.001210191
evaluation metrics 0.001208575
different judgments 0.001189026
different corpora 0.001177833
evaluation measures 0.0011659490000000001
different groups 0.0011627529999999999
human raters 0.001156921
essay corpus 0.001147658
whole corpus 0.0011396
evaluation code 0.001138616
etary corpus 0.00113829
human judges 0.001132686
different datasets 0.001130058
preposition 0.00112613
appropriate evaluation 0.001124568
human rater 0.001124372
evaluation methodology 0.00105348
intrinsic evaluation 0.00105348
evaluation methodologies 0.00105348
similar performance 0.0010437250000000001
same dataset 0.001043435
high agreement 0.001038827
systems 9.93979E-4
nlp research 9.77829E-4
turker agreement 9.681100000000001E-4
overall performance 9.59373E-4
model 9.50227E-4
number agreement 9.4645E-4
agreement values 9.43172E-4
tomated correction 9.401559999999999E-4
quality con 9.34748E-4
research papers 9.329809999999999E-4
weighted precision 9.17492E-4
english learners 9.060310000000001E-4
agreement bin 8.99546E-4
agreement bins 8.944090000000001E-4
english speakers 8.917090000000001E-4
significant problem 8.87546E-4
