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

時間 2020-01-22

標籤 machine reading comprehension self matching networks 简体版

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文章目錄 1.模型概述 2.passage和question編碼層 3.Gated Attention-based RNN 4.Self-Matching Attention 5.output layer 6.源碼和參數參考連接我以爲這篇文章的文筆真的有點不敢恭維，首先向量矩陣的維度不說清楚還能腦補，可是這邊先後不一樣層之間用同樣的變量名是什麼意思啊(這麼說出來會不會被MSRA鄙視，之後的簡歷

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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 訊飛
4. 論文《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. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
8. 論文分享-->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 訊飛
4. 論文《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. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
8. 論文分享-->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

>>更多相關文章<<