The pattern mover similarity network (PMSN) is a unified model for adaptively scoring the similarity of entities or patterns to seed entities.
the pattern mover similarity network contains two components: 1) the adaptive distributional pattern embeddings (ADPE) that adaptively represent patterns, entities, and entity sets in a unified way; 2) the pattern mover similarity (PMS) measurement that estimates the similarity of two ADPEs.