Table 4 demonstrates rather good performances, however the main problem with semantic relation annotation is the unavailability of an agreed set of conceptual relations, and a sufficiently large and balanced training set.
we need to update the set of used relations whenever we analyse a new domain, and re-run the training phase enriching the training corpus with manually tagged examples from the new domain (as for in Table 2).