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论文笔记《Consensus Attention-based Neural Networks for Chinese Reading Comprehension》
时间 2020-12-30
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自然语言处理
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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
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论文《Adversarial Reading Networks For Machine Comprehension》
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