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case frame 0.002355313
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case particle 0.0023353469999999998
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training data 0.00214598
training set 0.001906052
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large training 0.0017659059999999998
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language analysis 0.0012688719999999999
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language translation 0.0011384709999999998
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testing data 0.0010872780000000001
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independent information 0.00102565
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machine learning 9.935880000000001E-4
same time 9.928089999999999E-4
performance improvement 9.85639E-4
performance difference 9.75004E-4
test topic 9.46902E-4
performance res 9.44318E-4
performance ments 9.353059999999999E-4
greater performance 9.353059999999999E-4
performance dial 9.353059999999999E-4
lar performance 9.353059999999999E-4
olution performance 9.353059999999999E-4
information extraction 9.32765E-4
tion system 9.30784E-4
positional information 9.2675E-4
real system 9.22569E-4
decision trees 9.104079999999999E-4
same attributes 9.08362E-4
trainable system 9.0511E-4
system tdmt 9.0511E-4
words 8.9712E-4
different knowledge 8.913580000000001E-4
ellipsis resolution 8.799820000000001E-4
test samples 8.76914E-4
japanese ellipsis 8.76507E-4
ellipsis type 8.69345E-4
resolution topic 8.647150000000001E-4
huge text 8.57494E-4
alogue corpus 8.5443E-4
such ellipses 8.461790000000001E-4
first person 8.46067E-4
average accuracy 8.29549E-4
compact tree 8.26773E-4
dependency 8.25313E-4
test dialogues 8.192469999999999E-4
target predicate 8.15893E-4
binary decision 8.15621E-4
ocial role 8.1543E-4
ing samples 8.13953E-4
social role 8.12801E-4
first figure 8.082009999999999E-4
other 8.07801E-4
resolution knowledge 8.03392E-4
empirical approach 7.99671E-4
simple sentences 7.96767E-4
second person 7.96749E-4
sion tree 7.95968E-4
exophoric ellipsis 7.90688E-4
grammatical cases 7.8845E-4
nodes table 7.85467E-4
