Marc Brinner

Model Interpretability and Rationale Extraction by Input Mask Optimization

Concurrent with the rapid progress in neural network-based models in NLP, the need for creating explanations for the predictions of these black-box models has risen steadily. Yet, especially for complex inputs like texts or images, existing interpretability methods still struggle with deriving easil…