16 With sufficient labeled data, the neural transfer approaches tend to do well, but of course, these correspond to cases with less data scarcity.
we encourage researchers to compare neural network approaches with simpler baselines such as PRED and PRED-CCA, rather than only comparing against the "no tranfer" option, and to report not only F1 scores, but also precision and recall, which may be useful when deciding which transfer learning approach to use.