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Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop
We present our experience as annotators in the creation of high-quality, adversarial machine-reading-comprehension data for extractive QA for Task 1 of the First Workshop on Dynamic Adversarial Data Collection (DADC).
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