The problem of entity-level representation (also referred to as high-order coreference models) has attracted considerable interest recently, with methods ranging from imitation learning (Clark and Manning, 2015) to iterative refinement .
 tackled this problem by iteratively averaging the antecedents of each mention to create mention representations that are more "global" (i.e., reflect information about the entity to which the mention refers).