New York University submitted two runs this year: a KBP Slot Filling run and a Cold Start run. The Slot Filling run used the same system as last year (Min et al. 2012), with only the minimal changes needed to address the revised specifications. These included changes in the provenance information and collapsing employee_of and member_of slots. We included the confidence estimation step (Li and ...

The Melbourne team was a collaboration of the University of Melbourne, RMIT University, and the Victorian Society for Computers and the Law. The approach taken was to train a support vector machine based upon textual features using active learning. Two sources of relevance annotations were used for different runs: the official annotations, provided by the topic authorities; and annotations prov...