zero pronouns 0.0021320899999999997
zero pronoun 0.001841006
pronoun resolution 0.0017690459999999998
chinese zero 0.001711352
antecedent noun 0.001699624
coreference resolution 0.0016805029999999999
resolution training 0.001670111
training data 0.00162387
anaphoric zero 0.001601118
azp resolution 0.001543823
noun phrase 0.0015388620000000002
japanese zero 0.001529903
coreference corpus 0.0014815520000000001
identification model 0.001477307
syntactic features 0.0014741189999999999
resolution classifier 0.0014668069999999999
resolution rules 0.001459646
feature description 0.001454644
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coreferential zero 0.001442146
tree learning 0.001434379
tree node 0.001405526
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parse tree 0.001399563
feature values 0.001398388
overt pronouns 0.001397707
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data set 0.001389806
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pronoun coreference 0.001372849
heuristic model 0.001338105
resolution accuracy 0.0013310829999999998
chinese word 0.0013232489999999999
noun identification 0.001307918
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resolution ben 0.001294166
phrase anaphoricity 0.001289016
pronoun identification 0.001272051
data sets 0.001271066
number information 0.001267293
same coreference 0.001264109
data sparseness 0.001257404
first gap 0.001253898
chinese coreference 0.0012431949999999999
first baseline 0.001241182
phrase candidates 0.001223657
pronoun example 0.001221769
noun phrases 0.0012029480000000001
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pronoun candidates 0.001182054
same sentence 0.001172757
decision tree 0.0011682720000000001
following sentence 0.0011489830000000001
same entity 0.00114649
overt noun 0.0011424900000000001
training example 0.001122834
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overt pronoun 0.001106623
chinese azp 0.001106515
coreferential noun 0.0010983990000000001
useful information 0.001095046
separate noun 0.001088982
candidate zpi 0.001085148
candidate extractions 0.001085148
standard word 0.001083754
same time 0.001065944
anaphoricity identification 0.001058072
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azp identification 0.001046828
explicit noun 0.0010463590000000002
phrase referents 0.0010395860000000001
resolution 0.00103835
sion tree 0.001038291
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training set 0.001029458
pronouns 0.00102178
fruitful information 0.0010147679999999999
necessary information 0.00100773
standard coreference 0.0010037
negative training 0.001001001
different sentences 9.97126E-4
word sequence 9.949170000000001E-4
word segmentation 9.85234E-4
word segmenter 9.82406E-4
feature 9.80299E-4
standard parse 9.80137E-4
gold azp 9.79972E-4
same tuning 9.77382E-4
coreference chain 9.76097E-4
identification classifier 9.69812E-4
learning algo 9.67641E-4
important task 9.675339999999999E-4
machine learning 9.65474E-4
previous work 9.61985E-4
training texts 9.58577E-4
chinese treebank 9.53856E-4
