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dependency relation 0.001435351
dependency tree 0.001426057
dependency parsing 0.001396624
word level 0.0013760299999999999
important information 0.001365447
dependency parser 0.00136331
information extraction 0.0013270930000000001
single word 0.001325105
different opinions 0.001323457
language model 0.001270843
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different lev 0.0012666320000000002
single words 0.001256915
phrase dependency 0.00123967
level dependency 0.001225995
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local words 0.001193577
rich information 0.001187618
dependency relations 0.001182584
same time 0.0011709720000000002
new tree 0.001170426
head word 0.001166961
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opinion relation 0.001133054
dependency grammar 0.001127311
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training set 0.001121883
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dependency trees 0.001105904
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relation set 0.001094422
data diaper 0.001094358
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dependency relationship 0.0010562269999999999
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parsing candidate 9.92337E-4
other hand 9.92302E-4
labeled corpus 9.90933E-4
tree node 9.75589E-4
lexical elements 9.72819E-4
same way 9.68851E-4
true product 9.68458E-4
following sentences 9.66075E-4
other domains 9.61533E-4
tree input 9.47117E-4
tree structures 9.45401E-4
whole tree 9.41709E-4
novel tree 9.40203E-4
other meth 9.36515E-4
test domain 9.32688E-4
tree figure 9.25321E-4
potential relation 9.228039999999999E-4
kernel function 9.20599E-4
relation type 9.20209E-4
extraction opinion 9.12628E-4
extraction methods 9.109700000000001E-4
parsing result 9.102579999999999E-4
training instances 9.10152E-4
tree com 9.09188E-4
global tree 8.98488E-4
phrase level 8.981869999999999E-4
parsing review 8.97658E-4
information 8.95907E-4
pendency tree 8.933540000000001E-4
machine learning 8.890390000000001E-4
input sentence 8.88336E-4
example sentence 8.862709999999999E-4
shallow parsing 8.85591E-4
relation extrac 8.853089999999999E-4
constituent tree 8.84538E-4
many opinion 8.814459999999999E-4
