Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Innovations in annotation methodology have been a catalyst for Reading Comprehension (RC) datasets and models. One recent trend to challenge current RC models is to involve a model in the annotation process: humans create questions adversarially, such that the model fails to answer them correctly. In this work we investigate …