dependency corpus 0.0025162500000000003
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dependency annotation 0.002206723
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dependency label 0.001865129
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dependency treebank 0.001817742
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finding errors 0.0017180659999999999
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certain dependency 0.0017002200000000001
dependency edges 0.0016960389999999999
temporal dependency 0.001693268
dependency format 0.0016897330000000001
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dependency treebanks 0.00166132
lish dependency 0.001636909
dependency commission 0.001636909
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annotated corpus 0.0015008740000000001
errors 0.00147365
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dependency 0.00140215
third parser 0.0013935549999999999
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training data 0.0012725570000000001
gold standard 0.001252525
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original annotation 0.0011912420000000001
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corpus 0.0011141
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parser 0.00106456
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ent parsing 0.0010288089999999999
annotated data 0.001013594
variation detection 0.0010095079999999999
art parsers 9.757E-4
large number 9.533200000000001E-4
same result 9.25714E-4
sentence strings 9.2127E-4
same length 8.992709999999999E-4
gold stand 8.8827E-4
erroneous gold 8.864280000000001E-4
variation detec 8.851919999999999E-4
phrase structures 8.819030000000001E-4
correct cases 8.67998E-4
high quality 8.613640000000001E-4
train models 8.61363E-4
same methodology 8.589579999999999E-4
detection method 8.473529999999999E-4
frequent dependencies 8.472079999999999E-4
standard suggestion 8.36341E-4
overall number 8.34822E-4
exact number 8.265600000000001E-4
high precision 8.23286E-4
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annotation 8.04573E-4
considerable number 8.016340000000001E-4
pos tagging 7.936449999999999E-4
following steps 7.91365E-4
low recall 7.87376E-4
automatic correction 7.81631E-4
similar idea 7.74682E-4
ment score 7.746580000000001E-4
high counts 7.74034E-4
popular language 7.717910000000001E-4
interesting question 7.71579E-4
similar strategy 7.6632E-4
parsing 7.64981E-4
