【一起读ACL论文】Attention-over-Attention Neural Networks for Reading Comprehension
一种针对完形填空式阅读理解的模型。综合来看，大概是双向考虑了文档->提问和提问->文档的关系。思想和实现都是非常简单的，从实验结果来看效果不错。而且也容易扩展到其他模型上。 整个模型如上图所示。大概分为三个部分： 和传统模型类似，先把Document和Query都embedding出来（用的是GRU）。 根据向量表示计算出一个矩阵表示，记为Pair-wise Matching Score. 表示查
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相关文章
- 1. Attention-over-Attention Neural Networks for Reading Comprehension 讯飞
- 2. 论文《Adversarial Reading Networks For Machine Comprehension》
- 3. 论文分享-->Attention-over-Attention Neural Networks for Reading Comprehension
- 4. Attention-over-Attention Neural Networks for Reading Comprehension论文笔记
- 5. 论文笔记《Consensus Attention-based Neural Networks for Chinese Reading Comprehension》
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文阅读笔记
- 7. 【博文笔记】AoA Reader_Attention-over-Attention Neural Networks for Reading Comprehension
- 8. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记
- 9. ACL 19 论文阅读---Cognitive Graph for Multi-Hop Reading Comprehension at Scale （待完善）
- 10. Consensus Attention-based Neural Networks for Chinese Reading