r-net:machine reading comprehension with self-matching networks

时间 2020-01-22

标签 machine reading comprehension self matching networks 繁體版

原文原文链接

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.源码和参数参考连接我以为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，可是这边先后不一样层之间用同样的变量名是什么意思啊(这么说出来会不会被MSRA鄙视，之后的简历

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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
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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

>>更多相关文章<<