[ACL2015] A Dependency-Based Neural Network for Relation Classification
paper的主旨是探討依存信息的組合：即兩個實體間的最短依存樹和以及附着在最短依存樹上詞的子樹兩部分信息如何糅合在一起 這種想法的來源是：最短依存樹的詞的向量包含了詞的基本信息， 子樹提供了該詞在句子中作用的詞義信息 RNN: 擅長處理層級結構，在本文中用於處理subtree信息 CNN: 適合flat structure， 用於處理最短依存樹上的詞和依存關係 RNN處理後的subtree信息用c
相關文章
- 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 論文筆記
- 6. Relation Classification via Convolutional Deep Neural Network 論文研讀
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. 論文筆記：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
- 更多相關文章...
- • Scala for循環 - Scala教程
- • Lua for 循環 - Lua 教程
- • Flink 數據傳輸及反壓詳解
- • 算法總結-廣度優先算法
相關標籤/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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 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 論文筆記
- 6. Relation Classification via Convolutional Deep Neural Network 論文研讀
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. 論文筆記：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