Third, there has been a shift towards data collection and empirical evaluation; this has made it possible to empirically evaluate REG algorithms, which is starting to give us an improved understanding of the strengths and weaknesses of existing work (Section 5).
of these developments, REG is now one of the best-developed subfields of NLG.