tech,13-6-H01-1058,ak We suggest a method that mimics the behavior of the <term> oracle </term> using a <term> neural network </term> or a <term> decision tree </term> .
tech,17-6-H01-1058,ak We suggest a method that mimics the behavior of the <term> oracle </term> using a <term> neural network </term> or a <term> decision tree </term> .
model,5-7-H01-1058,ak The method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking the best <term> hypothesis </term> corresponding to the <term> LM </term> with the best <term> confidence </term> .
measure(ment),7-7-H01-1058,ak The method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking the best <term> hypothesis </term> corresponding to the <term> LM </term> with the best <term> confidence </term> .
other,13-7-H01-1058,ak The method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking the best <term> hypothesis </term> corresponding to the <term> LM </term> with the best <term> confidence </term> .
model,17-7-H01-1058,ak The method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking the best <term> hypothesis </term> corresponding to the <term> LM </term> with the best <term> confidence </term> .
measure(ment),21-7-H01-1058,ak The method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking the best <term> hypothesis </term> corresponding to the <term> LM </term> with the best <term> confidence </term> .
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