Antonio Di Mauro

Generating and Evaluating Plausible Explanations for Knowledge Graph Completion

Explanations for AI should aid human users, yet this ultimate goal remains under-explored. This paper aims to bridge this gap by investigating the specific explanatory needs of human users in the context of Knowledge Graph Completion (KGC) systems. In contrast to the prevailing approaches that prima…