In a similar way, , beginning with a seed set of noun/verb linguistic metaphor pairs, performed spectral clustering on a large set of nouns and verbs in order to predict metaphors which participate in the same conceptual metaphor mapping.
next, we predict that poorly imageable terms (i.e., highly abstract terms) are likely to represent metaphorical usages of s and so are unlikely to be integral to a given literal source domain, so these are filtered out as well.