SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi. SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. In Ellen Riloff, David Chiang 0001, Julia Hockenmaier, Jun'ichi Tsujii, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. pages 93-104, Association for Computational Linguistics, 2018. [doi]

@inproceedings{ZellersBSC18,
  title = {SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference},
  author = {Rowan Zellers and Yonatan Bisk and Roy Schwartz and Yejin Choi},
  year = {2018},
  url = {https://aclanthology.info/papers/D18-1009/d18-1009},
  researchr = {https://researchr.org/publication/ZellersBSC18},
  cites = {0},
  citedby = {0},
  pages = {93-104},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018},
  editor = {Ellen Riloff and David Chiang 0001 and Julia Hockenmaier and Jun'ichi Tsujii},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-84-1},
}