Litcius/Paper detail

ContrXT: Generating contrastive explanations from any text classifier

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso

2021Information Fusion18 citationsDOI

Topics & Concepts

Computer scienceClassifier (UML)Artificial intelligencePython (programming language)Contrast (vision)Machine learningNatural language processingOperating systemExplainable Artificial Intelligence (XAI)Topic ModelingScientific Computing and Data Management
ContrXT: Generating contrastive explanations from any text classifier | Litcius