The main reason is that EAM relies on an external aligned dataset with supervision from statistical word aligner FAST ALIGN, and thus the characteristic of its alignment result are similar to that of FAST ALIGN, leading to the understanding biased to FAST ALIGN.
pD only relies on prediction from a neural model to define the relevance, it has been successfully used to understand and interpret a neural model (Zintgraf et al., 2017).