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.
Interpretable Entity Matching with WYM / Baraldi, A.; Del Buono, F.; Guerra, F.; Guiduzzi, G.; Paganelli, M.; Vincini, M.. - 3478:(2023), pp. 101-109. (Intervento presentato al convegno 31st Symposium of Advanced Database Systems, SEBD 2023 tenutosi a Galzingano Terme nel July 2nd to 5th, 2023).
Interpretable Entity Matching with WYM
Baraldi A.;Del Buono F.;Guerra F.;Guiduzzi G.;Paganelli M.;Vincini M.
2023
Abstract
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.
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