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discourse target 0.0030028610000000003
novel discourse 0.0029086760000000002
feature vector 0.002832356
following discourse 0.0028259540000000003
discourse concept 0.002822886
discourse unit 0.0027975070000000003
discourse property 0.002795973
feature extraction 0.002755891
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feature 0.00241766
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training data 0.001854933
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test data 0.0015389660000000001
target noun 0.001401621
much data 0.001398689
target text 0.001389229
noun paper 0.001345106
noun phrase 0.001257549
same countability 0.001244941
noun phrases 0.00122574
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features 0.00120199
head noun 0.00120174
same training 0.001197721
noun freq 0.001188824
noun furniture 0.0011801889999999999
noun mcd 0.001177194
target nouns 0.001156261
majority countability 0.001139935
new set 0.001137852
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other words 0.001115766
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model generation 0.0010854179999999999
uncountable nouns 0.0010818199999999998
countability prediction 0.001076603
learning algorithm 0.001057173
english nouns 0.0010494369999999999
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corresponding countability 0.001032825
countability fea 0.00102673
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countable nouns 0.0010135
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individual nouns 9.89043E-4
word sense 9.85608E-4
corresponding training 9.85605E-4
individual instances 9.77608E-4
rules table 9.75986E-4
other fea 9.73359E-4
other meth 9.71348E-4
national corpus 9.66616E-4
article system 9.619909999999999E-4
learning algorithms 9.61054E-4
other others 9.57309E-4
simple method 9.55734E-4
generating training 9.55136E-4
possible determiners 9.49247E-4
machine learning 9.49047E-4
same sense 9.40001E-4
whole corpus 9.271559999999999E-4
sified instances 9.1804E-4
proposed method 9.06916E-4
tagging rules 8.96371E-4
language process 8.83897E-4
same test 8.81754E-4
experimental results 8.791789999999999E-4
chine learning 8.79051E-4
learning algo 8.7442E-4
ing algorithm 8.72845E-4
many cases 8.646050000000001E-4
mcd baseline 8.572440000000001E-4
baseline advantage 8.55893E-4
natural language 8.51856E-4
language learners 8.51408E-4
good source 8.51245E-4
ticle system 8.481420000000001E-4
second language 8.41845E-4
source language 8.36316E-4
majority sense 8.34995E-4
language processing 8.03772E-4
uncountable plural 7.92942E-4
ing tasks 7.881940000000001E-4
high weight 7.88088E-4
polysemous word 7.80223E-4
majority count 7.794270000000001E-4
true value 7.791409999999999E-4
value unknown 7.68143E-4
function words 7.670649999999999E-4
previous example 7.666299999999999E-4
japanese language 7.62804E-4
countability 7.59943E-4
model 7.5515E-4
basic idea 7.414380000000001E-4
third instance 7.34228E-4
