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syntactic features 0.002121045
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novel features 0.0017275769999999999
lexical feature 0.0017074400000000002
feature values 0.001692643
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candidate antecedents 0.001589132
structured feature 0.001583397
resolution algorithm 0.0015711219999999999
azp resolution 0.001541957
pronoun resolver 0.0014971
zero pronoun 0.0014949059999999998
chinese coreference 0.001492612
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training data 0.001434213
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overt pronoun 0.001403961
pronoun links 0.001403169
antecedent compatibility 0.00140159
pronoun identification 0.0013969899999999999
coreference resolver 0.0013751079999999999
antecedent is她 0.0013657
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modified resolution 0.001324472
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baseline system 0.001302955
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other fea 0.001275132
zero pronouns 0.001267913
coreference likelihood 0.001255238
feature 0.00125489
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syntactic parse 0.001229624
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overt pronouns 0.001176968
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parse tree 0.001154501
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same sentence 0.001152991
candidate zps 0.0011356229999999999
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pair model 0.001125114
overt candidate 0.001116677
training set 0.0011131499999999998
unlabeled data 0.001106724
training test 0.0011034349999999998
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sentence distance 0.0010203550000000001
tree gold 0.00101439
identification system 0.001009974
chinese azp 9.922910000000002E-4
first setting 9.8759E-4
first gap 9.766879999999999E-4
test text 9.64612E-4
coreference 9.60108E-4
clause type 9.59033E-4
ing noun 9.545020000000001E-4
test instance 9.50277E-4
grammatical role 9.47509E-4
chinese zero 9.4531E-4
expansion tree 9.435E-4
contextual information 9.41438E-4
system variation 9.40643E-4
lution performance 9.352760000000001E-4
tual information 9.216669999999999E-4
gold parse 9.19347E-4
lexical fea 9.062880000000001E-4
corpus study 9.039250000000001E-4
adverbial node 8.92089E-4
previous work 8.787129999999999E-4
ing instances 8.75418E-4
azp resolver 8.74787E-4
following example 8.696299999999999E-4
automatic parse 8.59961E-4
pronouns 8.55107E-4
baseline signifi 8.5376E-4
event chains 8.502429999999999E-4
