(2018) investigate how to evaluate semi-supervised training algorithms in a realistic way; they differ from us in that they focus exclusively on semi-supervised learning (SSL) algorithms, and do not consider NLP explicitly.
in line with our conclusion, they report that recent practices for evaluating SSL techniques do not address the question of the algorithms' real-word applicability in a satisfying way.