Like the mention-pair model, each training instance i(m j , m k ) represents m k and a preceding mention m j .
the instance representation employed by a cluster ranker is identical to that used by an entity-mention model, where each training instance i(c j , m k ) represents a preceding cluster c j and a discourse-old mention m k and consists of cluster-level features formed from predicates.