As a counterpoint, "Marco Tulio Ribeiro et al.: Beyond Accuracy: Behavioral Testing of NLP Models with CheckList, ACL 2020" is a highly practical paper that sho

As a counterpoint, "Marco Tulio Ribeiro et al.: Beyond Accuracy: Behavioral Testing of NLP Models with CheckList, ACL 2020" is a highly practical paper that should be incredibly useful in helping IT industry professionals to make their NLP/machine learning systems more robust. The more we can move towards software engineering practices of testing and monitoring, the better. Maybe it's the exception that proves the rule though, I do agree with your point in general!