Based on the hypothesis that many name to nominal coreference chains are best understood in terms of background knowledge (for instance, that "George W. Bush" is the "President"), we have attempted to take advantage of recent techniques from large scale data mining to extract lists of such pairs.
we use the name/instance lists described by (Fleischman et al., 2003)  GBs of news data).