| P09-1024 | parameters must be trained for the | content selection algorithm | using our training data set . |
| W02-1702 | applied in this first version of the | content selection algorithm | is described below . These rules |
| W02-1702 | model , we will now discuss the | content selection algorithm | ( henceforth CSA ) . The CSA |
| W02-1702 | addressing in more detail the | content selection algorithm | itself . The system starts by |
| P13-2102 | Radev , 2004 ) is a network based | content selection algorithm | that works by first building |
| P15-1043 | Lexrank Lexrank is a network-based | content selection algorithm | that serves as a baseline for |
| P13-2102 | C-Lexrank is another network based | content selection algorithm | that focuses on diversity ( Qazvinian |
| W02-1702 | system . This paper shows how a | content selection algorithm | has been implemented using an |
| W02-1702 | This paper shows a macro level | content selection algorithm | that applies user profiles to |
| W05-1615 | ( 15,8 ) with ( 24,13 ) . Our | content selection algorithm | therefore selects data points |
| P13-1011 | is also similar conceptually to | content selection algorithms | that have been used for text |
| W13-2103 | universal truth " . In this case , our | content selection algorithm | will return a single plays triple |
| W03-1016 | items . One of the most felicitous | Content Selection algorithms | proposed in the literature is |
| P14-1115 | : another popular graph-based | content selection algorithm | for multi-document summarization |
