A fundamental problem that one encounters when trying to learn a classifier for a large number of relations with small training dataset is that most of the features that appear in the test instances either never occur in training instances or appear a small number of times.
the classification algorithm does not have sufficient information to correctly predict the relation type of the given test instance.