[ACL2015] A Dependency-Based Neural Network for Relation Classification
paper的主旨是探讨依存信息的组合：即两个实体间的最短依存树和以及附着在最短依存树上词的子树两部分信息如何糅合在一起 这种想法的来源是：最短依存树的词的向量包含了词的基本信息， 子树提供了该词在句子中作用的词义信息 RNN: 擅长处理层级结构，在本文中用于处理subtree信息 CNN: 适合flat structure， 用于处理最短依存树上的词和依存关系 RNN处理后的subtree信息用c
相关文章
- 1. [ACL2015]A Dependency-Based Neural Network for Relation Classification
- 2. A C-LSTM Neural Network for Text Classification
- 3. Convolutional Neural Network For Sentence Classification
- 4. Relation-Shape Convolutional Neural Network for point cloud analysis
- 5. Relation Classification via Convolutional Deep Neural Network 论文笔记
- 6. Relation Classification via Convolutional Deep Neural Network 论文研读
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. 论文笔记：Convolutional Neural Network for Sentence Classification
- 9. A new deep convolutional neural network for fast hyperspectral image classification Review
- 10. A simple neural network module for relational reasoning
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Lua for 循环 - Lua 教程
- • Flink 数据传输及反压详解
- • 算法总结-广度优先算法
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。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. [ACL2015]A Dependency-Based Neural Network for Relation Classification
- 2. A C-LSTM Neural Network for Text Classification
- 3. Convolutional Neural Network For Sentence Classification
- 4. Relation-Shape Convolutional Neural Network for point cloud analysis
- 5. Relation Classification via Convolutional Deep Neural Network 论文笔记
- 6. Relation Classification via Convolutional Deep Neural Network 论文研读
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. 论文笔记：Convolutional Neural Network for Sentence Classification
- 9. A new deep convolutional neural network for fast hyperspectral image classification Review
- 10. A simple neural network module for relational reasoning