Exploring NLP Interpretability

Sameer and Nathan discuss the challenges of interpretability in NLP models, highlighting the importance of sampling procedures and the impact of discrete language space on interpretation methods. They consider the use of mask tokens and unknown word tokens to improve model understanding.