), whereas the DM representation of distributional data as weighted triples is more akin to other standard knowledge representation formats based on typed relations, which are familiar to most computer and cognitive scientists.
a trained DM can become a general-purpose resource and be used by researchers beyond the realms of the NLP community, whereas applying PairClass requires a good understanding of various aspects of computational linguistics.