segmentation data 0.00266972
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text segmentation 0.002095504
segmentation evaluation 0.002093284
segmentation similarity 0.002074126
segmentation metrics 0.00206051
manual segmentation 0.002037608
new segmentation 0.0019958190000000002
segmentation metric 0.001976222
segmentation task 0.0019508400000000001
automatic segmentation 0.001950012
topical segmentation 0.001908151
segmentation error 0.0018611300000000001
segmentation comparison 0.001832146
segmentation classes 0.001827318
segmentation tasks 0.0017955990000000002
segmentation differences 0.001793469
dom segmentation 0.001780156
matic segmentation 0.001779271
segmentation granularities 0.001773208
ideal segmentation 0.00177264
segmentation compari 0.001772062
such data 0.0016752899999999999
manual data 0.001623868
data set 0.0015673409999999999
segmentation 0.00154173
large data 0.00153517
data sets 0.001488658
high agreement 0.001488152
boundary similarity 0.001477207
agreement metric 0.001463932
boundary edit 0.001446429
low agreement 0.0014183709999999999
new boundary 0.0013989
agreement values 0.00139652
artificial data 0.001380046
moonstone data 0.0013783719999999999
stargazer data 0.0013630769999999999
estimate agreement 0.001318684
agreement coefficients 0.001316743
agreement coefficient 0.001307236
actual agreement 0.0013002069999999998
boundary classification 0.001296877
coder agreement 0.001285947
agreement coef 0.001265801
boundary positions 0.00126274
agreement fournier 0.0012601259999999999
agreement formulations 0.0012601259999999999
percentage agreement 0.0012601259999999999
boundary pairs 0.001256656
matching boundary 0.001256565
correct boundary 0.001254535
potential boundary 0.001251262
boundary position 0.001238836
boundary pair 0.00123606
boundary types 0.001219039
reference boundary 0.001217558
boundary type 0.001216918
multiple boundary 0.001214785
additional boundary 0.001203752
expected boundary 0.001193386
boundary simi 0.001179599
paired boundary 0.001175606
perfluous boundary 0.001175606
other terms 0.001132225
segmentations figure 0.0011252649999999999
different mistakes 0.001094723
other penalty 0.001076946
similarity similarity 0.001064792
other scenarios 0.001061448
agreement 0.00102944
random segmentations 0.001026182
natural language 9.98026E-4
evaluation metric 9.86046E-4
random human 9.65773E-4
mincut figure 9.64243E-4
edit distance 9.59963E-4
boundary 9.44811E-4
various text 9.420660000000001E-4
structural form 9.31169E-4
greenery figure 9.311289999999999E-4
similar parameters 9.30953E-4
manual segmentations 9.24304E-4
same parameters 9.13089E-4
random baseline 9.09403E-4
random segmenter 9.07401E-4
distance models 8.945240000000001E-4
new set 8.9344E-4
random segmenta 8.81428E-4
natural level 8.77716E-4
mean form 8.707490000000001E-4
test set 8.60871E-4
same segments 8.5494E-4
such precision 8.540500000000001E-4
text segmenta 8.37446E-4
automatic segmentations 8.36708E-4
such coefficients 8.34603E-4
classification problem 8.33376E-4
