TL;DR通过引入一种收集对抗性人工编写的问题的界面，我们利用人类生成的数据来开发让机器更好应对复杂任务的对抗性数据集，这对于开发问答人工智能是至关重要的。我们的界面不仅为创新的 Quiz Bowl AI 项目 QANTA 收集训练数据，同时也是为问答系统未来对抗性数据收集的一个概念验证。
Abstract
A critical component when developing question-answering AIs is an adversarial
dataset that challenges models to adapt to the complex syntax and reasoning
underlying our natural language. Present techniques for procedurally generating
adversarial texts are not robust enough for training