This chapter contains a synoptic view of the different types and generations of distributional semantic models (DSMs), including the distinction between static and contextual models. Part II then focuses on static DSMs, since they are still the best known and widely studied family of models, and they learn context-independent distributional representations that are useful for several linguistic and cognitive tasks.