linyl1998 / absa-reading-list

Reading list of aspect-based sentiment analysis.

Reading List of aspect-based sentiment analysis (ABSA), Cross-Domain ABSA, and Multi-Modal ABSA, maintained by Rui Xia, Jianfei Yu, Hongjie Cai, Zengzhi Wang, and Junjie Li from Text Mining Group of Nanjing University of Science & Technology (NUSTM).

Content

1. ABSA

1.1 Aspect-Oriented Sentiment Classification

1.2 Aspect Extraction

1.3 Aspect-Opinion Co-Extraction

1.4 Aspect-Oriented Opinion Extraction

1.5 Aspect-Opinion Pair Extraction

1.6 Aspect-Sentiment Pair Extraction

1.7 Category-Oriented Sentiment Classification

1.8 Category-Sentiment Hierarchical Classification

1.9 Aspect-Category-Sentiment Triple Extraction

1.10 Aspect-Opinion-Sentiment Triple Extraction

1.11 Aspect-Category-Opinion-Sentiment Quadruple  Extraction

2. Cross-Domain ABSA

2.1 Cross-Domain/Lingual Aspect Extraction

2.2 Cross-Domain Aspect-Opinion Co-Extraction

2.3 Cross-Domain Aspect-Oriented Sentiment  Classification

2.4 Cross-Domain Aspect-Sentiment Pair Extraction

3. Multi-Modal ABSA

3.1 Multi-Modal Aspect Extraction

3.2 Multi-Modal Category-Oriented Sentiment  Classification

3.3 Multi-Modal Aspect-Oriented Sentiment  Classification

ABSA

Aspect-Oriented Sentiment Classification

1. Yuanhe Tian, Guimin Chen, Yan Song. Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble. NAACL 2021. [paper]

2. Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu. Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. NAACL 2021. [paper]

3. Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou. Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL 2021. [paper]

4. Zixuan Ke, Hu Xu, Bing Liu. Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL 2021. [paper]

5. Andrew Moore, Jeremy Barnes. Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification. NAACL 2021. [paper]

6. Zhengxuan Wu, Desmond C. Ong. Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. AAAI 2021. [paper]

7. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin. Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI 2021. [paper]

8. Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang. Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP 2020. [paper]

9. Lu Xu, Lidong Bing, Wei Lu, Fei Huang. Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP 2020. [paper]

10. Chenhua Chen, Zhiyang Teng, Yue Zhang. Inducing Target-Specific Latent Structures for Aspect Sentiment Classification. EMNLP 2020. [paper]

11. Mi Zhang, Tieyun Qian. Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. EMNLP 2020. [paper]

12. Zehui Dai, Cheng Peng, Huajie Chen, Yadong Ding. A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis. EMNLP 2020. [paper]

13. Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan. Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. EMNLP 2020. [paper]

14. Hao Tang, Donghong Ji, Chenliang Li, Qiji Zhou. Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification. ACL 2020. [paper]

15. Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou. Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. ACL 2020. [paper]

16. Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang. Relational Graph Attention Network for Aspect-based Sentiment Analysis. ACL 2020. [paper] [code]

17. Minh Hieu Phan, Philip O. Ogunbona. Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis. ACL 2020. [paper]

18. Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Min Zhang, Luo Si and Guodong Zhou. Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. ACL 2019. [paper]

19. Hu Xu, Bing Liu, Lei Shu and Philip S. Yu. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL 2019. [paper] [code]

20. Binxuan Huang and Kathleen Carley. Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. EMNLP 2019. [paper]

21. Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao and Min Yang. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. EMNLP 2019. [paper]

22. Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu and Ming Liu. Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification. EMNLP 2019. [paper]

23. Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng and Xiaowei Shen. CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. EMNLP 2019. [paper]

24. Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao and Xudong Liu. Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP 2019. [paper]

25. Chen Zhang, Qiuchi Li and Dawei Song. Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. EMNLP 2019. [paper]

26. Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou. A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. EMNLP 2019. [paper]

27. Shuai Wang , Sahisnu Mazumder , Bing Liu , Mianwei Zhou and Yi Chang. Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL 2018. [paper]

28. Wei Xue and Tao Li. Aspect Based Sentiment Analysis with Gated Convolutional Networks. ACL 2018. [paper]

29. Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier. Exploiting Document Knowledge for aspect-level sentiment classification. ACL 2018. [paper]

30. Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Md. Shad Akhtar, Erik Cambria and Asif Ekba. Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. EMNLP 2018. [paper]

31. Jingjing Wang , Jie Li , Shoushan Li, Yangyang Kang , Min Zhang , Luo Si and Guodong Zhou. Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. IJCAI 2018. [paper]

32. Jun Yang, Runqi Yang, Chongjun Wang and Junyuan Xie. Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory. AAAI 2018. [paper]

33. Yi Tay, Luu Anh Tuan and Siu Cheung Hui. Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis. AAAI 2018. [paper]

34. Bailin Wang and Wei Lu. Learning Latent Opinions for Aspect-Level Sentiment Classification. AAAI 2018. [paper]

35. Xin Li, Lidong Bing, Wai Lam and Bei Sh. Transformation Networks for Target-Oriented Sentiment Classification. ACL 2018. [paper]

36. Binxuan Huang, Kathleen Carley. Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. EMNLP 2018. [paper]

37. Shiliang Zheng and Rui Xia. Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. Arxiv 2018. [paper]

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

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

40. Meishan Zhang, Yue Zhang and Duy-Tin Vo. Gated Neural Networks for Targeted Sentiment Analysis. AAAI 2016. [paper]

41. Duyu Tang, Bing Qin and Ting Liu. Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016. [paper]

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

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

44. Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL 2014. [paper][dataset]

45. Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao. Target-dependent Twitter Sentiment Classification. ACL 2011. [paper]

Aspect Extraction

1. Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy. A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI 2021. [paper]

2. Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song. Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. ACL 2020. [paper]

3. Stéphan Tulkens, Andreas van Cranenburgh. Embarrassingly Simple Unsupervised Aspect Extraction. ACL 2020. [paper]

4. Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng, Jianmin YAO. Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction. ACL 2020. [paper] [code]

5. Zhuang Chen, Tieyun Qian. Enhancing Aspect Term Extraction with Soft Prototypes. EMNLP 2020. [paper]

6. Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang. Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. ACL 2019. [paper]

7. Hongliang Dai, Yangqiu Song. Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. ACL 2019. [paper]

8. Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong. Coupling Global and Local Context for Unsupervised Aspect Extraction. EMNLP 2019. [paper]

9. Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang. Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018. [paper]

10. Hu Xu, Bing Liu, Lei Shu, Philip S. Yu. Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL 2018. [paper]

11. Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier. An Unsupervised Neural Attention Model for Aspect Extraction. ACL 2017. [paper]

12. Xin Li, Wai Lam. Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. EMNLP 2017. [paper]

13. Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou. Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016. [paper]

14. Fangtao Li, Chao Han, Minlie Huang, Xiaoyan Zhu, Ying-Ju Xia, Shu Zhang, Hao Yu. Structure-Aware Review Mining and Summarization. COLING 2010. [paper]

15. Wei Jin, Hung Hay Ho. A Novel Lexicalized HMM-based Learning Framework for Web Opinion Mining. ICML 2009. [paper]

Opinion Extraction

Aspect-Opinion Co-Extraction

1. Meixi Wu, Wenya Wang, Sinno Jialin Pan. Deep Weighted MaxSAT for Aspect-based Opinion Extraction. EMNLP 2020. [paper]

2. Jianfei Yu, Jing Jiang, Rui Xia. Global inference for aspect and opinion terms co-extraction based on multi-task neural networks. IEEE TASLP 2018. [paper]

3. Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI 2017. [paper]

4. Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. EMNLP 2016. [paper]

5. Pengfei Liu, Shafiq Joty, Helen Meng. Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. EMNLP 2015. [paper]

Aspect-Oriented Opinion Extraction

1. Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen. Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. EMNLP 2020. [paper]

2. Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen. Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. AAAI 2020. [paper]

3. Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen. Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. NAACL 2019. [paper]

Aspect-Opinion Pair Extraction

1. Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao. Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction. AAAI 2021. [paper]

2. Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang, Ziming Chi. Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. ACL 2020. [paper] [code]

3. He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue. SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. ACL 2020. [paper]

Aspect-Sentiment Pair Extraction

1. Rui Mao, Xiao Li. Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. AAAI 2021. [paper]

2. Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, Songlin Hu. An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. AAAI 2021. [paper]

3. Chenggong Gong, Jianfei Yu, Rui Xia. Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis. EMNLP 2020. [paper]

4. Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han. Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP 2020. [paper]

5. Zhuang Chen, Tieyun Qian. Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020. [paper]

6. Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li and Yiwei Lv. Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. ACL 2019. [paper]

7. Huaishao Luo, Tianrui Li, Bing Liu and Junbo Zhang. DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL 2019. [paper]

8. Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. ACL 2019. [paper]

9. Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang and Qiang Yang. Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP 2019. [paper]

10. Xin Li, Lidong Bing, Piji Li, Wai Lam. A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019. [paper]

11. Feixiang Wang, Man Lan, Wenting Wang. Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning. IJCNN 2018. [paper]

12. Hao Li,Wei Lu. Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis. AAAI 2017. [paper]

13. Meishan Zhang, Yue Zhang, Duy-Tin Vo. Neural Networks for Open Domain Targeted Sentiment. EMNLP 2015. [paper]

14. Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme. Open Domain Targeted Sentiment. EMNLP 2013. [paper]

Category-Oriented Sentiment Classification

1. Chi Sun, Luyao Huang, Xipeng Qiu. Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence. NAACL 2019. [paper] [code]

2. Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzhen Zhang, Zhongyuan Wang and Heyan Huang. Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. IJCAI 2019. [paper]

3. Yukun Ma, Haiyun Peng, Erik Cambria. Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. EMNLP 2018. [paper]

4. Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, Sebastian Riedel. SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. COLING 2016. [paper]

5. Sebastian Ruder, Parsa Ghaffari, John G. Breslin. A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. EMNLP 2016. [paper]

6. Caroline Brun, Diana Nicoleta Popa, Claude Roux. XRCE: Hybrid Classification for Aspect-based Sentiment Analysis. SemEval 2014. [paper]

Category-Sentiment Hierarchical Classification

1. Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu. ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. NAACL 2021. [paper]

2. Hongjie Cai, Yaofeng Tu, Xiangsheng Zhou, Jianfei Yu, Rui Xia. Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. COLING 2020. [paper] [code]

3. Zehui Dai, Cheng Peng, Huajie Chen, Yadong Ding. A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis. EMNLP 2020. [paper]

4. Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan. Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. EMNLP 2020. [paper]

5. Yuncong Li, Zhe Yang, Cunxiang Yin, Xu Pan, Lunan Cui, Qiang Huang, Ting Wei. A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer. CCL 2020. [paper]

6. Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth. Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. EMNLP 2018. [paper]

Aspect-Category-Sentiment Triple Extraction

1. Hai Wan, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, Jeff Z. Pan. Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis. AAAI 2020. [paper] [code]

Aspect-Opinion-Sentiment Triple Extraction

1. Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam. Towards Generative Aspect-Based Sentiment Analysis. ACL 2021. [paper] [code]

2. Lu Xu, Yew Ken Chia, Lidong Bing. Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL 2021. [paper] [code]

3. Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu and Zheng Zhang. A Unified Generative Framework for Aspect-Based Sentiment Analysis. ACL 2021. [paper] [code]

4. Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang. Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction. AAAI 2021. [paper]

5. Yue Mao, Yi Shen, Chao Yu, Longjun Cai. A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. AAAI 2021. [paper]

6. Lu Xu, Hao Li, Wei Lu, Lidong Bing. Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP 2020. [paper]

7. Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia. Grid Tagging Scheme for End-to-End Fine-grained Opinion Extraction. EMNLP 2020, Findings. [paper] [code]

8. Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang. A Multi-task Learning Framework for Opinion Triplet Extraction. EMNLP 2020, Findings. [paper] [code]

9. Haiyun Peng, Lu Xu, Lidong Bing, Wei Lu, Fei Huang. Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. AAAI 2020. [paper] [data]

10. Minqing Hu, Bing Liu. Mining and Summarizing Customer Reviews. KDD 2004. [paper]

Aspect-Category-Opinion-Sentiment Quadruple Extraction

1. Hongjie Cai, Rui Xia, Jianfei Yu. Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions. ACL 2021. [paper] [code]

Cross-Domain ABSA

Cross-Domain/Lingual Aspect Extraction

1. Zhuang Chen and Tieyun Qian. Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL 2021. [paper]
2. Tao Liang, Wenya Wang and Fengmao Lv. Weakly Supervised Domain Adaptation for Aspect Extraction via Multi-level Interaction Transfer. IEEE TNNLS 2021. [paper]
3. Wenya Wang, Sinno Jialin Pan. Transition-based Adversarial Network for Cross-lingual Aspect Extraction. IJCAI 2018. [paper]
4. Ying Ding, Jianfei Yu, and Jing Jiang. Recurrent Neural Networks with Auxiliary Labels for Cross Domain Opinion Target Extraction. AAAI 2017. [paper]

Cross-Domain Aspect-Opinion Co-Extraction

1. Oren Pereg, Daniel Korat, and Moshe Wasserblat. Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. COLING 2020. [paper]
2. Wenya Wang and Sinno Jialin Pan. Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. Computational Linguistics (CL) 2019. [paper]
3. Wenya Wang and Sinno Jialin Pan. Transferable Interactive Memory Network for Domain Adaptation in Fine-grained Opinion Extraction. AAAI 2019. [paper]
4. Wenya Wang and Sinno Jialin Pan. Recursive Neural Structural Correspondence Network for Cross-Domain Aspect and Opinion Co-Extraction. ACL 2018. [paper]

Cross-Domain Aspect-Oriented Sentiment Classification

1. Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, and Enhong Chen. EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis. TKDE 2021. [paper]
2. Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, and Zhong Su. Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. EMNLP-IJCNLP 2019. [paper]

Cross-Domain Aspect-Sentiment Pair Extraction

1. Jianfei Yu, Chenggong Gong, and Rui Xia. Cross-Domain Review Generation for Aspect-Based Sentiment Analysis. ACL 2021，Findings. [paper]
2. Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, and Songlin Hu. An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. AAAI 2021. [paper]
3. Chenggong Gong, Jianfei Yu, and Rui Xia. Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis. EMNLP 2020. [paper]
4. Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang and Qiang Yang. Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP 2019. [paper]

Multi-Modal ABSA

Multi-Modal Aspect Extraction

1. Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia. Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer. ACL 2020. [paper]
2. Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs, Stephen Gould, and Yutaka Matsuo. A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews. ACL 2020 Workshop on Multimodal Language (Challenge-HML). [paper]
3. Hanqian Wu, Siliang Cheng, Jingjing Wang, Shoushan Li, and Lian Chi. Multimodal Aspect Extraction with Region-Aware Alignment Network. NLPCC 2020. [paper]

Multi-Modal Category-Oriented Sentiment Classification

1. Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, and Liang He. MASAD: A Large-Scale Dataset for Multimodal Aspect-Based Sentiment Analysis. Neurocomputing 2021. [paper]
2. Nan Xu, Wenji Mao, and Guandan Chen. Multi-interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. AAAI 2019. [paper]

Multi-Modal Aspect-Oriented Sentiment Classification

1. Zaid Khan and Yun Fu. Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation. ACM MM 2021 [paper]
2. Jianfei Yu, Jing Jiang and Rui Xia. Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification. IEEE/ACM TASLP 2020. [paper]
3. Jianfei Yu and Jing Jiang. Adapting BERT for Target-Oriented Multimodal Sentiment Classification. IJCAI 2019. [paper]