r-net:machine reading comprehension with self-matching networks
文章目录 1.模型概述 2.passage和question编码层 3.Gated Attention-based RNN 4.Self-Matching Attention 5.output layer 6.源码和参数 参考链接 我觉得这篇文章的文笔真的有点不敢恭维，首先向量矩阵的维度不说清楚还能脑补，但是这边前后不同层之间用一样的变量名是什么意思啊(这么说出来会不会被MSRA鄙视，以后的简历都
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相关文章
- 1. r-net:machine reading comprehension with self-matching networks
- 2. Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
- 3. Attention-over-Attention Neural Networks for Reading Comprehension 讯飞
- 4. 论文《Adversarial Reading Networks For Machine Comprehension》
- 5. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
- 6. Cosmos QA：Machine reading comprehension with contextual commonsense reasoning
- 7. 【论文笔记】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 8. 论文分享-->Attention-over-Attention Neural Networks for Reading Comprehension
- 9. Simple and Effective Multi-Paragraph Reading Comprehension
- 10. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks