[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
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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
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- 5. Relation Classification via Convolutional Deep Neural Network 論文筆記
- 6. Relation Classification via Convolutional Deep Neural Network 論文研讀
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