import tensorflow as tf


    with tf.variable_scope("slow_antecedent_scores"):
      slow_antecedent_scores = util.ffnn(pair_emb, self.config["ffnn_depth"], self.config["ffnn_size"], 1, self.dropout) # [k, c, 1]
    slow_antecedent_scores = tf.squeeze(slow_antecedent_scores, 2) # [k, c]
    return slow_antecedent_scores # [k, c]

