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test set . Similarly , Figure 10
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for constituency parsing on initial
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4.1 Varying the Size Figure 9
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for machine translation on variously
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failure to find any match . The
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Algorithm essentially iterates
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scores with the results of the
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Algorithm produces better raw
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calculus extraction pipeline and the
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Algorithm can produce event calculus
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storyteller 's transcript . The
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Algorithm is given in Figure
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inspecting the results of the
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algorithm , our agent is capable
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without using the results of the
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Algorithm , and instead use only
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feature set to the results of the
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Algorithm and LSA scores , as
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shape of the curve . Figure 11
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for a fixed test size , but with
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addition to the results of the
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algorithm for the Naive Bayes
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calculus - based results of a
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Algorithm ) enters a mutually
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set was only the results of the
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Algorithm ( Quinlan , 1986 )
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credit should be assigned . A
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algorithm was created that uses
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optimal at 9 . The results of the
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algorithm were given as features
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previous work , the use of both the
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results and LSA did not improve
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of chil - dren 's stories . 6
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Algorithm Since the story rewriting
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PLOT " means the results of the
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Algorithm were used as features
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the event-based results of the
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Algorithm so that the agent in
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