This means that if the learned taxonomy is less structured we replicate the cut k l − 1 for k r − k l times (where k l is the maximum depth of the learned taxonomy), whereas if it is more structured we stop at cut k r − 1.
to previous evaluation models, our aim is to reward (instead of penalize) more structured taxonomies provided they still match the gold standard one.