Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification

IJCNLP 2019 Vivian LaiJon Z. CaiChenhao Tan

Feature importance is commonly used to explain machine predictions. While feature importance can be derived from a machine learning model with a variety of methods, the consistency of feature importance via different methods remains understudied... (read more)

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