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Found 2 papers, 1 papers with code
A Framework for Rationale Extraction for Deep QA models
As neural-network-based QA models become deeper and more complex, there is a demand for robust frameworks which can access a model's rationale for its prediction.
Towards Interpreting BERT for Reading Comprehension Based QA
BERT and its variants have achieved state-of-the-art performance in various NLP tasks.
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