D08-1030 individually . Then we use an automatic ranking system to pick the optimal set of features
D09-1025 search engine click logs . For the ranking system , semi - or weakly-supervised
E09-1014 evaluate the output of a realisation ranking system for German . We evaluated the
A97-1024 according to a specific numerical ranking system ( McCord 1990 , 1993 ) . But
D08-1107 large-scale machinelearned web-search ranking system . In addition , we considered
N09-1041 summaries in order to train a sentence ranking system which discriminatively maximizes
D09-1030 each other . Correlation when ranking systems In addition to measuring agreement
D10-1010 work on interfacing the question ranking system with a separate module aimed
E09-1014 German We take the realisation ranking system for German described in Cahill
D13-1060 is a natural way to evaluate a ranking system where the gold-standard data
N10-1009 predicted labels in ad retrieval and ranking systems . 7 Related Work Extraction of
N06-1059 summary evaluation could be cast as ranking system summaries according to their
E12-1023 Tarau , 2004 ) is also graph based ranking system for identification of important
D15-1010 using the standard metrics for a ranking system ( precision at 5 and 15 and MAP
J14-2008 measuring ongoing progress and ranking systems according to their annotation
N10-1071 SVM-multipartite outperforms all other ranking systems under all evaluation metrics
D15-1052 al. , 2007 ) is a skill based ranking system for Xbox Live developed at Microsoft
N06-1051 information about system comparison . Ranking systems by their sample means is indeed
E09-1014 more natural . 2 A Realisation Ranking System for German We take the realisation
D15-1052 , j TrueSkill . The TrueSkill ranking system ( Her - brich et al. , 2007 )
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