| N13-1056 | differences between different | rank aggregation | methods . Figure 4 plots the |
| N13-1056 | more sophisticated unsupervised | rank aggregation | meth - ods . However , we believe |
| W14-4005 | taken from WMT132 ) . We used the | rank aggregation | method described in ( Callison-Burch |
| P09-1121 | to the problem is to leverage | rank aggregation | formalism ( Dwork et a. , 2001 |
| P06-1013 | combination methods such as unsupervised | rank aggregation | algorithms ( Tan and Jin , 2004 |
| D13-1175 | be seen from Figures 1 and 3 , | rank aggregation | by Borda Count outperforms both |
| P09-2030 | other is to utilize rank fusion or | rank aggregation | techniques to combine the ranking |
| D14-1118 | task difficulty estimation and | rank aggregation | in crowd - sourcing settings |
| W14-1212 | for Romance languages after the | rank aggregation | are as follows : the closest |
| W09-1110 | use the Borda count method of | rank aggregation | ( Young , 1974 ) to find a consensus |
| W08-0331 | the " consensus ranking " or " | rank aggregation | " prob - lem , which can be NP-hard |
| W06-1114 | problem via total rank distance | Rank aggregation | is the problem of combining several |
| D15-1011 | summarization has also been regarded as | rank aggregation | , where the combined system re-ranks |
| P09-1121 | well-founded formalism such as | rank aggregation | approaches ( Dwork et a. , 2001 |
| W14-1212 | in terms of readability is that | rank aggregation | reports Italian as being closest |
| D15-1243 | ranking using the Kemeny -- Young | rank aggregation | algorithm , for each dimension |
| W14-1212 | multi-criteria technique based on | rank aggregation | . 3 Experimental Setup 3.1 Data |
| D15-1011 | perform system combination by | rank aggregation | . The systems are evaluated on |
| W14-1212 | and Manea ( 2006 ) show that the | rank aggregation | problem using rank distance , |
| W03-2805 | rankings . Following the average | rank aggregation | techique ( Ra - jman and Hartley |
