论文笔记 | Learning Fine-Grained Expressions to Solve MathWord Problems

时间 2020-12-20

标签学习总结论文笔记繁體版

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这篇文章是腾讯人工智能实验室发表在EMNLP 2017上的文章，基于细粒度的模板解数学应用题。文章目录贡献点整体思路 1. 模板归纳 sketch for template 2. 训练过程 3. 测试过程分析贡献点学习问题文本到模板片段的映射，充分利用模板的信息。为每个模板自动构建sketch。实现了一个两阶段的系统，包括模板检索和对齐排序。整体思路总结下来，该工作主要分为三个

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1. ATTENTION, LEARN TO SOLVE ROUTING PROBLEMS!论文笔记
2. 【论文笔记】Representation Learning by Learning to Count
3. Convolutional Sequence to Sequence Learning 论文笔记
4. Learning to Paraphrase for Question Answering 论文笔记
5. 论文笔记：Learning to See in the Dark
6. 论文笔记：A Learning-based Iterative Method For Solving Vehicle Routing Problems(ICLR 2020)
7. 论文笔记 | MathDQN: Solving Arithmetric Word Problems via Deep Reinforcement Learning
8. Solve Linux & Unix Systems Hard Disk Problems
9. Learning to solve nonlinear least squares for monocular stereo阅读笔记
10. Pain and Problems(配图笔记)

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