Interpretable Entity Matching with WYM

This paper introduces WYM (Why do You Match?), an intrinsically explainable model designed for Entity Matching (EM). WYM is built upon decision units, which are basic information units formed by either pairs of similar terms belonging to different entity descriptions, or unique terms present in only one of the descriptions. Decision units enable the definition of a new feature space that can compactly and meaningfully represent pairs of entity descriptions. By training an explainable binary classification model on these features, WYM generates customized and effective explanations for EM datasets.