Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross, Ana Marasović, Matthew E. Peters
Abstract
Humans have been shown to give contrastive explanations, which explain why an observed event happened rather than some other counterfactual event (the contrast case).
Topics & Concepts
Computer scienceInterpretabilityNatural language processingArtificial intelligenceCounterfactual thinkingContrast (vision)Event (particle physics)DebuggingLinguisticsPsychologyProgramming languageQuantum mechanicsSocial psychologyPhysicsPhilosophyTopic ModelingExplainable Artificial Intelligence (XAI)Software Engineering Research