SAP SE
Generating explanations of machine learning predictions in matching problems

Abstract:

Methods, systems, and computer-readable storage media for receiving a set of documents matched by a ML model, each document in the set of documents including a computer-readable electronic document, processing a set of pairwise features, the ML model, and the set of documents by an explanation framework to generate a set of raw explanations, the set of raw explanations including one or more raw explanations, each raw explanation including a pairwise feature and an importance score, for each raw explanation, identifying a natural language template based on the pairwise feature and the importance score, and populating the natural language template with one or more parameters provided from the set of documents to provide a natural language explanation for matching of the documents in the set of documents by the ML model.