Word prediction models tend to perform better in natural language processing tasks such as analogy, similarity, synonym detection, concept taxonomy  and sentiment analysis (Socher et al., 2011;Socher et al., 2013).
their relationship with cognitive lexical representation is not yet well understood, at least to a degree that would allow us to improve current computation lexical semantic models.