《Attentional Encoder Network for Targeted Sentiment Classification》
發表時間2019年9月 1.純用的是attention機制。 2.用上了BERT機制 3.用上了一個叫 label unreliability issue和 label smoothing regularization 提出2016年tang和dong的工作，其實都是爲了處理一個將target信息加入到低維空間中的問題。 認爲neutral這個標籤，都有些礙事兒了。 也關注target和sent
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相關文章
- 1. 《Attentional Encoder Network for Targeted Sentiment Classification》
- 2. Linguistically Regularized LSTMs for Sentiment Classification
- 3. 《Effective LSTMs for Target-Dependent Sentiment Classification》
- 4. Aspect Level Sentiment Classification with Deep Memory Network筆記
- 5. Hierarchical Attention Network for Document Classification閱讀筆記
- 6. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
- 7. 【論文閱讀筆記】Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
- 8. 《Attention-based LSTM for Aspect-level Sentiment Classification》
- 9. 2017acl---Linguistically Regularized LSTM for Sentiment Classification筆記
- 10. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis 論文解讀