This is done by applying a pooling operation.
it concatenates the results of max-pooling and average-pooling, which we found to be slightly more effective than using either one alone: Rather than training a cluster-ranking model from scratch, we first train a mention-ranking model that assigns each mention its highest scoring candidate antecedent.