《Knowledge-enriched Two-layered Attention Network for Sentiment Analysis》
這篇文章選自NAACL_HLT 他的核心是用KG和embedding中獲得的知識做數據增強 兩層Attention模型，然後是兩層attention,一層捕捉當前詞和（KG，embeeding)獲得的相似詞之間的關係 一層是Attention起來。 最後輸出隱藏層。 直接看圖片和方法就可以了。 這個是計算方式，簡直不要太eassy;
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相關文章
- 1. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis 論文解讀
- 2. 2017emnlp---Recurrent Attention Network on Memory for Aspect Sentiment Analysis閱讀筆記
- 3. attention+RNN做文本情感分類《Recurrent Attention Network on Memory for Aspect Sentiment Analysis》
- 4. 《Attentional Encoder Network for Targeted Sentiment Classification》
- 5. 方面級paper8Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis(2019ACL)
- 6. Recurrent Attention Network on Memory for Aspect Sentiment 閱讀筆記
- 7. 論文翻譯（5）-Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
- 8. 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》學習筆記
- 9. 論文閱讀 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》
- 10. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts