论文阅读 Aspect Based Sentiment Analysis with Gated Convolutional Networks
Aspect Based Sentiment Analysis with Gated Convolutional Networks Abstract 把细粒度情感分析分为两种，ACSA（给定一系列aspect，判断句子对aspect的情感极性）和ATSA（对句子中出现的taget，判断句子对target的情感极性）。之前的方法大多数使用LSTM和attention，模型复杂训练时间长。文章提出一个
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相关文章
- 1. [论文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 2. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks论文阅读笔记
- 3. Aspect Based Sentiment Analysis with Gated Convolutional Networks 阅读笔记
- 4. 论文阅读：Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
- 5. ACL2018：Aspect Based Sentiment Analysis with Gated Convolutional Networks（翻译）
- 6. 【论文阅读笔记】Aspect-based sentiment analysis with alternating coattention networks
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- 8. 【论文阅读笔记】Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment
- 9. 论文阅读 《An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis》
- 10. 【l论文阅读】An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis