We went one step further: using the LFs that would be produced by a perfect semantic parser as starting points, we searched for "nearby" LFs (LFs differing by only one predicate) with higher endtask accuracy on the test set and succeeded 57% of the time (see Figure 5 for an example).
when users provide explanations, the signals they describe provide good starting points, but they are actually unlikely to be optimal.