To the best of our knowledge, no previous system for learning word embeddings has explicitly focused on the acquisition of this sort of knowledge; by contrast, ConceptNet is at the base of other projects concerned with the development of lexical resources (Mensa, Radicioni, and Lieto 2018) and their usage along with formal ontologies Rho 2015, 2017).
conceptNet is principally a lexical resource, and as such it disregards the conceptual anchoring issue: If we consider the term bat, the bat node in conceptNet mixes all possible senses for the given term, such as the nocturnal mammal, the implement used for hitting the ball, the acronym for "brown adipose tissue," an entity such as the radar-guided glide bomb used by the US Navy in World War II, and so forth.