Corpus ID: 52824259

Stochastic Answer Networks for SQuAD 2.0

@article{Liu2018StochasticAN,
  title={Stochastic Answer Networks for SQuAD 2.0},
  author={X. Liu and Wei Li and Yuwei Fang and Aerin Kim and Kevin Duh and Jianfeng Gao},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.09194}
}
This paper presents an extension of the Stochastic Answer Network (SAN), one of the state-of-the-art machine reading comprehension models, to be able to judge whether a question is unanswerable or not. [...] Key Result Experiments show that SAN achieves the results competitive to the state-of-the-art on Stanford Question Answering Dataset (SQuAD) 2.0. To facilitate the research on this field, we release our code: this https URL.Expand
13 Citations
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