We observed that IMS attains an optimal recall value of 100.0 for all data set sizes and for both sense distributions (i.e., uniform and natural distributions), showing that its models perfectly fit the training data.
as mentioned earlier in Section 6.5, in our setting the automatic enrichment of the LKB is less immediate and natural than the training of the supervised system.