Also, if we set n too high, although the output vocabulary size becomes smaller, some of the frequent output labels that the model handles well originally will be put into the coarse-grained types, losing information in the recovery process.
table 2, the supervised attention model is able to further improve the Smatch score by another 2 points, which are mainly contributed by 3 points increase in recall.