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Increasing Robustness to Spurious Correlations using Forgettable Examples
Neural NLP models tend to rely on spurious correlations between labels and input features to perform their tasks.
Natural Language Inference
Natural Language Understanding
+2
Systematic Error Analysis of the Stanford Question Answering Dataset
This process also enabled us to identify the primary QA strategy learned by the models, i. e., systems determined the acceptable answer type for a question and then selected the acceptable answer span of that type containing the highest density of words present in the question within its local vicinity in the passage.
