10 Our framework bears most similarities to the MUC metric, as both are based on the same linkbased entity representation.
when we divide the number of errors extracted from an entity by the size of a spanning tree for that entity, we obtain a score linearly related 11 to the MUC score for that entity (recall for reference entities, precision for system entities).