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feature set 0.002492681
lexical features 0.00237934
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structure features 0.0023382100000000003
additional features 0.0022894020000000003
novel features 0.002280655
local features 0.002246202
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diverse features 0.002153963
face features 0.002152909
feature classes 0.002125114
entity coreference 0.002035658
data set 0.001964711
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feature extraction 0.001933993
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features 0.00187702
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gap feature 0.001851022
training data 0.001847722
training set 0.001768613
feature 0.00154988
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generic nps 0.0014318690000000001
generic entities 0.001355491
small set 0.001342184
data sparseness 0.001318357
antecedent knowledge 0.001315321
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data imbalance 0.001298024
generic nouns 0.001281225
classification algorithm 0.001269639
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low results 0.0012410519999999999
newfeat system 0.00122041
previous work 0.00121904
set membership 0.001219012
entity coherence 0.001218288
dialogue corpus 0.001211183
first mention 0.001204803
corpus research 0.001203618
definite nps 0.0012016499999999999
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cmps system 0.001196106
system cmps 0.001196106
research training 0.0011813919999999999
high results 0.001173285
ontonotes corpus 0.001160295
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training group 0.001139215
possible class 0.001139151
corpus size 0.001134005
world knowledge 0.001131693
experimental results 0.001130737
entity coher 0.0011289540000000002
tipster corpus 0.0011256719999999999
information fea 0.001122715
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semantic role 0.0011153110000000001
generic patterns 0.001103101
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joint model 0.00106867
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generic annota 0.0010375760000000001
related work 0.001035999
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string match 0.0010252730000000002
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genericity information 0.001003935
such adjectives 0.0010018660000000001
other categories 9.94757E-4
news text 9.92818E-4
sense example 9.91829E-4
bare nps 9.85132E-4
syntactic form 9.85023E-4
complex nps 9.79626E-4
indefinite nps 9.67978E-4
lexical fea 9.656339999999999E-4
low precision 9.655789999999999E-4
