Vector space models and η-normed-based similarity measures are notable examples of steps two and three, respectively (i.e., word space models or word embeddings).
as pointed out for instance by , the count-based models resulting from the steps two and three are not discriminative enough to achieve satisfactory results; instead, predictive models are required.