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berkeley parser 0.0015265909999999999
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tree labels 0.0010608660000000002
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model 0.00104393
phrase systems 0.001039853
candidate phrase 0.001039152
apposition extraction 0.001026579
syntactic head 0.001015302
useful information 0.001003765
lbp tree 9.99315E-4
classifier models 9.93534E-4
correct pairs 9.90114E-4
syntactic context 9.886819999999998E-4
same syntac 9.8223E-4
same trend 9.766409999999999E-4
extraction systems 9.444029999999999E-4
gazetteer words 9.3966E-4
joint performance 9.36841E-4
joint models 9.36063E-4
many nlp 9.333669999999999E-4
dev test 9.29514E-4
classification decisions 9.270210000000001E-4
such differences 9.20769E-4
syntactic parses 9.121489999999999E-4
lexical patterns 9.05805E-4
many systems 9.05449E-4
labelling words 9.050900000000001E-4
test dataset 8.98703E-4
tagger error 8.95185E-4
syntactic infor 8.92947E-4
features 8.91468E-4
syntactic constraints 8.84843E-4
large number 8.786639999999999E-4
joint classifier 8.78283E-4
test datasets 8.762030000000001E-4
extraction techniques 8.75607E-4
final system 8.72135E-4
test sents 8.66192E-4
extraction components 8.64641E-4
automatic tags 8.64053E-4
rule generation 8.6284E-4
relative clauses 8.59408E-4
our approach 8.491249999999999E-4
joint system 8.4E-4
sition extraction 8.37613E-4
example apposition 8.3157E-4
tion structure 8.30916E-4
apposition scheme 8.30557E-4
attr pairs 8.27789E-4
tical models 8.27328E-4
noun phrases 8.27155E-4
internal structure 8.248299999999999E-4
apposition labels 8.23744E-4
dev trees 8.219130000000001E-4
semantic fea 8.14309E-4
error distribution 8.09693E-4
many roles 8.08588E-4
low precision 8.05289E-4
impact performance 8.032040000000001E-4
standard tags 8.01581E-4
pattern performance 8.00793E-4
adjacent nps 7.95935E-4
possible attrs 7.9564E-4
semantic compatibility 7.806110000000001E-4
train dev 7.79552E-4
attr head 7.78144E-4
punctuation cues 7.75235E-4
semantic restrictions 7.74107E-4
sentence simplifica 7.71728E-4
research goal 7.63449E-4
