(2009) to automatically produce aligned training scenarios (Section 4.3.1) was less effective than it was in the other two domains due to two factors: (i) there are fewer training examples in SUMTIME and unsupervised learning typically works better with a large amount of data; and (ii) the alignment model does not exploit the temporal structure in the SUMTIME world state.
we used a small set of simple regular expressions to produce aligned training scenarios.