QuAC : Question Answering in Context

@article{Choi2018QuACQ,
  title={QuAC : Question Answering in Context},
  author={Eunsol Choi and He He and Mohit Iyyer and Mark Yatskar and Wen-tau Yih and Yejin Choi and Percy Liang and Luke Zettlemoyer},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.07036}
}
  • Eunsol Choi, He He, +5 authors Luke Zettlemoyer
  • Published 2018
  • Computer Science
  • ArXiv
  • We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total. [...] Key Result Our best model underperforms humans by 20 F1, suggesting that there is significant room for future work on this data. Dataset, baseline, and leaderboard available at this http URLExpand Abstract

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