论文笔记 | Tree-structured Decoding for Solving Math Word Problems
这篇文章是由京都大学和北京大学合作发表在EMNLP 2019上的。主要是在seq2seq架构上做了改进，用树结构的decoder来生成抽象语法树(也可简单理解为表达式树)。并且利用栈结构辅助，能够清楚的知道下一次要生成的token是什么，还有什么时候可以停止解码。 文章目录 研究动机 系统架构图 Strong Points Weak Points 补充 研究动机 目前已有很多用seq2seq结构来
相关文章
- 1. 论文笔记 | MathDQN: Solving Arithmetric Word Problems via Deep Reinforcement Learning
- 2. 论文笔记：A Learning-based Iterative Method For Solving Vehicle Routing Problems(ICLR 2020)
- 3. 论文笔记 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
- 4. 【深度学习NLP论文笔记】《Adversarial Example For Natural Language Classification Problems》
- 5. 论文笔记：Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature ...
- 6. 论文笔记：Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Agg
- 7. Openstack Neutron: troubleshooting and solving common problems
- 8. ATTENTION, LEARN TO SOLVE ROUTING PROBLEMS!论文笔记
- 9. Reflective Decoding Network for Image Captioning论文阅读
- 10. 论文笔记 | Learning Fine-Grained Expressions to Solve MathWord Problems
- 更多相关文章...
- • PHP 5 Math 函数 - PHP参考手册
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文笔记 | MathDQN: Solving Arithmetric Word Problems via Deep Reinforcement Learning
- 2. 论文笔记：A Learning-based Iterative Method For Solving Vehicle Routing Problems(ICLR 2020)
- 3. 论文笔记 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
- 4. 【深度学习NLP论文笔记】《Adversarial Example For Natural Language Classification Problems》
- 5. 论文笔记：Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature ...
- 6. 论文笔记：Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Agg
- 7. Openstack Neutron: troubleshooting and solving common problems
- 8. ATTENTION, LEARN TO SOLVE ROUTING PROBLEMS!论文笔记
- 9. Reflective Decoding Network for Image Captioning论文阅读
- 10. 论文笔记 | Learning Fine-Grained Expressions to Solve MathWord Problems