In particular, for models to learn high-quality representations for all linguistic concepts, we believe that future work must uncover ways to explicitly or implicitly infer "deeper," more general, conceptual properties such as intentionality, polarity, subjectivity, or concreteness (Gershman and Dyer 2014).
although improving corpusbased models in this direction is certainly realistic, models that learn exclusively via the linguistic modality may never reach human-level performance on evaluations such as SimLex-999.