Nobody cares how long it takes to train a model. What matters is prediction speeds, which are comparable (and NLP less likely to require high frequency, where a few more milliseconds matters).
Besides that, the accuracy gains are not marginal anymore (BoW can't compete like it used to, especially with pre-trained models).
Besides that, the accuracy gains are not marginal anymore (BoW can't compete like it used to, especially with pre-trained models).