The authors seem to have engineered a pretty useful bag of tricks to tackle this difficult problem. I was surprised how much top-down design there was, and how little data-driven learning. I wonder how a state-of-the-art black box learner could do (either given these engineered features, given only more standard and basic features(which often contain the info in the engineered features indirectly), or given features somewhere in between).