On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih. On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. pages 6618-6633, Association for Computational Linguistics, 2021. [doi]

@inproceedings{KaushikKLY20,
  title = {On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study},
  author = {Divyansh Kaushik and Douwe Kiela and Zachary C. Lipton and Wen-tau Yih},
  year = {2021},
  url = {https://aclanthology.org/2021.acl-long.517},
  researchr = {https://researchr.org/publication/KaushikKLY20},
  cites = {0},
  citedby = {0},
  pages = {6618-6633},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021},
  editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-52-7},
}