论文笔记《Consensus Attention-based Neural Networks for Chinese Reading Comprehension》
原文链接 本文发表于人工智能领域B类会议 COLING 2016 摘要 随着NLP研究如火如荼的发展，机器阅读理解技术也有了一个爆炸式的增长，一些机构公开的完形填空式的阅读理解数据集，极大的促进了机器阅读理解技术的提升。本文首先提出了提出了两个中文阅读理解数据集，分别为日常新闻数据集和儿童通话数据集。此外，本文提出了一种基于consensus attention的神经网络，其目的是能够让注意力机制
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相关文章
- 1. Consensus Attention-based Neural Networks for Chinese Reading
- 2. Attention-over-Attention Neural Networks for Reading Comprehension论文笔记
- 3. 【博文笔记】AoA Reader_Attention-over-Attention Neural Networks for Reading Comprehension
- 4. Attention-over-Attention Neural Networks for Reading Comprehension 讯飞
- 5. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文阅读笔记
- 6. 论文《Adversarial Reading Networks For Machine Comprehension》
- 7. 论文分享-->Attention-over-Attention Neural Networks for Reading Comprehension
- 8. 【一起读ACL论文】Attention-over-Attention Neural Networks for Reading Comprehension
- 9. Gated Self-Matching Networks for Reading Comprehension and Question Answering论文笔记
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