论文《Adversarial Reading Networks For Machine Comprehension》
综述:文中描述当前阅读理解任务中受限于监督学习设置，以及可用的数据集。这篇论文主要提出关于阅读理解任务中的对抗学习以及self-play.它用一个名为reader network来找到关于text和query的答案，还用一个名为narrator network的网络来混淆text的内容，来降低reader network网络成功的可能性。然后取得了较好的效果。 文章的贡献: 1,提出了一个新的基于
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相关文章
- 1. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 2. 论文阅读|Cross-Lingual Machine Reading Comprehension
- 3. Attention-over-Attention Neural Networks for Reading Comprehension论文笔记
- 4. Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
- 5. 论文阅读——Gated-Attention Readers for Machine Reading Comprehension
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- 7. 论文分享-->Attention-over-Attention Neural Networks for Reading Comprehension
- 8. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记
- 9. 【一起读ACL论文】Attention-over-Attention Neural Networks for Reading Comprehension
- 10. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文阅读笔记