We provide our implementations of some state-of-the-art ABSC models.

1. Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. Effective LSTMs for Target-Dependent Sentiment Classification with Long Short Term Memory. COLING 2016.

2. Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016.

3. Duyu Tang, Bing Qin, and Ting Liu. Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016.

4. Meishan Zhang, Yue Zhang, and Duy-Tin Vo. Gated Neural Networks for Targeted Sentiment Analysis. AAAI 2016.

5. Dehong Ma, Sujian Li, Xiaodong Zhang, and Houfeng Wang. Interactive Attention Networks for Aspect-Level Sentiment Classification. IJCAI 2017.

6. Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017.

7. Shiliang Zheng, Rui Xia. Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. https://arxiv.org/abs/1802.00892.

8. Li, X.; Bing, L.; Lam, W.; and Shi, B. 2018. Transformation networks for target-oriented sentiment classification. ACL 2018.