A criticism of these real-valued embedding vectors is the opaqueness of their representational dimensions and their lack of cognitive plausibility and interpretability (Murphy et al., 2012;Ş enel et al., 2018).
human conceptual property knowledge is often modelled in terms of relatively sparse and interpretable vectors, based on verbalizable, human-elicited features collected in property knowledge surveys (McRae et al., 2005;.