| sentence plan </term> whose <term> rating </term> on | average | is only 5 % worse than the <term> top human-ranked | #1448 We show that the trained SPR learns to select a sentence plan whose rating on average is only 5% worse than the top human-ranked sentence plan. | |
| measure(ment),35-4-N03-1004,bq | 32.8 % improvement according to the <term> | average | precision metric </term> . In this paper | #2431 Experiments evaluating the effectiveness of our answer resolution algorithm show a 35.0% relative improvement over our baseline system in the number of questions correctly answered, and a 32.8% improvement according to theaverage precision metric. |
| measure(ment),13-7-P03-1050,bq | indicates an improvement of 22-38 % in <term> | average | precision </term> over <term> unstemmed text | #4582 Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% inaverage precision over unstemmed text, and 96% of the performance of the proprietary stemmer above. |
| measure(ment),19-5-N04-4028,bq | multi-field records </term> , obtaining an <term> | average | precision </term> of 98 % for retrieving | #6877 We implement several techniques to estimate the confidence of both extracted fields and entire multi-field records, obtaining anaverage precision of 98% for retrieving correct fields and 87% for multi-field records. |
| measure(ment),6-2-P05-1032,bq | computational complexity </term> and <term> | average | retrieval times </term> for looking up <term> | #9163 We detail the computational complexity andaverage retrieval times for looking up phrase translations in our suffix array-based data structure. |
