《A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term》筆記
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction 學習筆記 記錄自己看論文時的心得，後附有GitHub鏈接。 創新點 本文提出了一個聯合模型用於aspect term extraction（方面項提取） 和 aspect polarit
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相關文章
- 1. 《A Joint Model of Term Exaction and Polarity Classification for Aspect-based Sentiment Analysis》閱讀筆記
- 2. 論文閱讀筆記：DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
- 3. 《Attention-based LSTM for Aspect-level Sentiment Classification》閱讀筆記
- 4. 《Attention-based LSTM for Aspect-level Sentiment Classification》
- 5. Aspect Level Sentiment Classification with Deep Memory Network筆記
- 6. [文獻筆記]An Unsupervised Neural Attention Model for Aspect Extraction -- Ruidan He et al.
- 7. Multi-grained Attention Network for Aspect-LevelSentiment Classification 閱讀筆記
- 8. 《Deep learning for time series classification a review》筆記
- 9. 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》學習筆記
- 10. 方面級paper8Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis(2019ACL)