| other,10-6-H01-1058,bq | method that mimics the behavior of the <term> | oracle | </term> using a <term> neural network </term> | #1162 We suggest a method that mimics the behavior of theoracle using a neural network or a decision tree. |
| tech,13-6-H01-1058,bq | behavior of the <term> oracle </term> using a <term> | neural network | </term> or a <term> decision tree </term> . The | #1165 We suggest a method that mimics the behavior of the oracle using aneural network or a decision tree. |
| tech,17-6-H01-1058,bq | using a <term> neural network </term> or a <term> | decision tree | </term> . The method amounts to tagging <term> | #1169 We suggest a method that mimics the behavior of the oracle using a neural network or adecision tree. |
| model,5-7-H01-1058,bq | </term> . The method amounts to tagging <term> | LMs | </term> with <term> confidence measures </term> | #1177 The method amounts to taggingLMs with confidence measures and picking the best hypothesis corresponding to the LM with the best confidence. |
| measure(ment),7-7-H01-1058,bq | amounts to tagging <term> LMs </term> with <term> | confidence measures | </term> and picking the best <term> hypothesis | #1179 The method amounts to tagging LMs withconfidence measures and picking the best hypothesis corresponding to the LM with the best confidence. |
| other,13-7-H01-1058,bq | measures </term> and picking the best <term> | hypothesis | </term> corresponding to the <term> LM </term> | #1185 The method amounts to tagging LMs with confidence measures and picking the besthypothesis corresponding to the LM with the best confidence. |
| model,17-7-H01-1058,bq | hypothesis </term> corresponding to the <term> | LM | </term> with the best <term> confidence </term> | #1189 The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to theLM with the best confidence. |
| measure(ment),21-7-H01-1058,bq | to the <term> LM </term> with the best <term> | confidence | </term> . We describe a three-tiered approach | #1193 The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to the LM with the bestconfidence. |
