《A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term》笔记

时间 2021-01-11

标签论文笔记自然语言处理繁體版

原文原文链接

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction 学习笔记记录自己看论文时的心得，后附有GitHub链接。创新点本文提出了一个联合模型用于aspect term extraction（方面项提取）和 aspect polarit

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1. 《A Joint Model of Term Exaction and Polarity Classification for Aspect-based Sentiment Analysis》阅读笔记
2. 论文阅读笔记：DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
3. 《Attention-based LSTM for Aspect-level Sentiment Classification》阅读笔记
4. 《Attention-based LSTM for Aspect-level Sentiment Classification》
5. Aspect Level Sentiment Classification with Deep Memory Network笔记
6. [文献笔记]An Unsupervised Neural Attention Model for Aspect Extraction -- Ruidan He et al.
7. Multi-grained Attention Network for Aspect-LevelSentiment Classification 阅读笔记
8. 《Deep learning for time series classification a review》笔记
9. 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》学习笔记
10. 方面级paper8Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis(2019ACL)

>>更多相关文章<<