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Reading list of aspect-based sentiment analysis.

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Aspect-Based Sentiment Analysis Reading List

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, Junjie Li, and Yan Ling from Text Mining Group of Nanjing University of Science & Technology (NUSTM).

Contents

1. ABSA

1.1 Aspect-Oriented Sentiment Classification

  1. Jiahao Cao, Rui Liu, Huailiang Peng, Lei Jiang, Xu Bai. Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis. NAACL 2022. [paper]

  2. Zheng Zhang, Zili Zhou, Yanna Wang. SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis. NAACL 2022. [paper] [code]

  3. Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong. A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL Findings 2022. [paper] [code]

  4. Chenhua Chen, Zhiyang Teng, Zhongqing Wang and Yue Zhang. Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis. ACL 2022. [paper] [code]

  5. Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao (Jake) . Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. ACL Findings 2022. [paper][code]

  6. Shuo Liang, Wei Wei, , Xian-Ling Mao, Fei Wang, Zhiyong He. BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. ACL Findings 2022. [paper][code]

  7. Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL Findings 2022. [paper]

  8. Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang. Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP Findings 2021. [paper] [code]

  9. Zeguan Xiao, Jiarun Wu, Qingliang Chen, Congjian Deng. BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification. EMNLP 2021. [paper]

  10. Zixuan Ke, Bing Liu, Hu Xu, Lei Shu. CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP 2021. [paper] [code]

  11. Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough. Open Aspect Target Sentiment Classification with Natural Language Prompts. EMNLP 2021. [paper] [code]

  12. Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen. Semantics-Preserved Data Augmentation for Aspect-Based Sentiment Analysis. EMNLP 2021. [paper] [code]

  13. Han Qin, Guimin Chen, Yuanhe Tian, Yan Song. Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories. EMNLP 2021. [paper] [code]

  14. Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu. To be Closer: Learning to Link up Aspects with Opinions. EMNLP 2021. [paper] [code]

  15. Zhengyan Li, Yicheng Zou, Chong Zhang, Qi Zhang, Zhongyu Wei. Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training. EMNLP 2021. [paper] [code]

  16. Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, Eduard Hovy. Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis. ACL 2021. [paper]

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

  18. 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]

  19. 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]

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

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

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

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

  24. 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]

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

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

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

  28. 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]

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

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

  31. 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]

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

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

  34. 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]

  35. 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]

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

  37. 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]

  38. 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]

  39. 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]

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

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

  42. 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]

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

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

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

  46. 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]

  47. 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]

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

  49. 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]

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

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

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

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

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

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

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

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

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

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

  60. 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]

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

1.2 Aspect Extraction

  1. Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong. A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL Findings 2022. [paper] [code]

  2. Chang-You Tai, Ming-Yao Li, Lun-Wei Ku. Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. AAAI 2022. [paper] [code]

  3. Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu. Progressive Self-Training with Discriminator for Aspect Term Extraction. EMNLP 2021. [paper] [code]

  4. Zhuang Chen, Tieyun Qian. Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL 2021. [paper]

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

  6. 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]

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

  8. 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]

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

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

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

  12. 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]

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

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

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

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

  17. 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]

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

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

1.3 Opinion Extraction

1.4 Category Detection

  1. Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong. A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL Findings 2022. [paper] [code]

  2. Thi-Nhung Nguyen, Kiem-Hieu Nguyen, Young-In Song, Tuan-Dung Cao. An Uncertainty-Aware Encoder for Aspect Detection. EMNLP Findings 2021. [paper]

  3. Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang. Solving Aspect Category Sentiment Analysis as a Text Generation Task. EMNLP 2021. [paper] [code]

  4. Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su. Multi-Label Few-Shot Learning for Aspect Category Detection. ACL 2021. [paper]

1.5 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]

1.6 Aspect-Oriented Opinion Extraction

  1. Junjie Li, Jianfei Yu, and Rui Xia. Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction. NAACL 2022. [paper] [code]

  2. Yue Mao, Yi Shen, Jingchao Yang, Xiaoying Zhu, Longjun Cai. Seq2Path: Generating Sentiment Tuples as Paths of a Tree. ACL Findings 2022. [paper][code]

  3. Samuel Mensah, Kai Sun, Nikolaos Aletras. An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. EMNLP 2021. [paper] [code]

  4. 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]

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

  6. 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]

1.7 Aspect-Opinion Pair Extraction

  1. Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li. Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge. IJCAI 2021. [paper] [code]

  2. 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]

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

  4. 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]

1.8 Aspect-Sentiment Pair Extraction

  1. Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong. A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL Findings 2022. [paper] [code]

  2. Lei Shu, Jiahua Chen, Bing Liu, Hu Xu. Zero-Shot Aspect-Based Sentiment Analysis. ArXiv 2022. [paper]

  3. Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam. Aspect-based Sentiment Analysis in Question Answering Forums. EMNLP Findings 2021. [paper] [code]

  4. Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou. An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. EMNLP Findings 2021. [paper] [code]

  5. Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He. Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. EMNLP Findings 2021. [paper]

  6. Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang. Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP Findings 2021. [paper] [code]

  7. Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam. Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP 2021. [paper] [code]

  8. Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim. YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. EMNLP 2021. [paper] [code]

  9. Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal. Structured Sentiment Analysis as Dependency Graph Parsing. ACL 2021. [paper]

  10. Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Seo Gaeun, EungGyun Kim, Harksoo Kim. Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis. ACL 2021. [paper]

  11. 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]

  12. 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]

  13. Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan. GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP 2020 Findings. [paper] [code]

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

  15. 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]

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

  17. 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]

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

  19. 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]

  20. 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]

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

  22. 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]

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

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

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

1.9 Category-Oriented Sentiment Classification

  1. Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang. Solving Aspect Category Sentiment Analysis as a Text Generation Task. EMNLP 2021. [paper] [code]

  2. Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu. Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. EMNLP 2021. [paper] [code]

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

  4. 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]

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

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

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

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

1.10 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]

1.11 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]

1.12 Aspect-Opinion-Sentiment Triple Extraction

  1. Yue Mao, Yi Shen, Jingchao Yang, Xiaoying Zhu, Longjun Cai. Seq2Path: Generating Sentiment Tuples as Paths of a Tree. ACL Findings 2022. [paper] [code]

  2. Shu Liu, Kaiwen Li, Zuhe Li. A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction. NAACL 2022. [paper][code]

  3. Hao Chen, Zepeng Zhai, Fangxiang Feng, Ruifan Li, Xiaojie Wang. Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction. ACL 2022. [paper][code]

  4. Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji. Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. IJCAI 2022 [paper]

  5. Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal. PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP 2021. [paper] [code]

  6. Hongjiang Jing, Zuchao Li, Hai Zhao, Shu Jiang. Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model. EMNLP 2021. [paper]

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

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

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

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

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

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

  13. 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]

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

  15. 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]

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

1.13 Aspect-Category-Opinion-Sentiment Quadruple Extraction

  1. Yue Mao, Yi Shen, Jingchao Yang, Xiaoying Zhu, Longjun Cai. Seq2Path: Generating Sentiment Tuples as Paths of a Tree. ACL Findings 2022. [paper][code]

  2. Xiaoyi Bao, Wang Zhongqing, Xiaotong Jiang, Rong Xiao, Shoushan Li. Aspect-based Sentiment Analysis with Opinion Tree Generation. IJCAI 2022. [paper]

  3. Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam. Aspect Sentiment Quad Prediction as Paraphrase Generation. EMNLP 2021. [paper] [code]

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

2. Cross-Domain ABSA

2.1 Cross-Domain Aspect Extraction

  1. Lekhtman, Entony and Ziser, Yftah and Reichart, Roi. DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction. EMNLP 2021.[paper]
  2. Zhuang Chen and Tieyun Qian. Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL 2021. [paper]
  3. Tao Liang, Wenya Wang and Fengmao Lv. Weakly Supervised Domain Adaptation for Aspect Extraction via Multi-level Interaction Transfer. IEEE TNNLS 2021. [paper]
  4. Ying Ding, Jianfei Yu, and Jing Jiang. Recurrent Neural Networks with Auxiliary Labels for Cross Domain Opinion Target Extraction. AAAI 2017. [paper]

2.2 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]

2.3 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]

2.4 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] [code]
  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] [code]
  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]

3. Multi-Modal ABSA

3.1 Multi-Modal Aspect Extraction (& Multi-Modal Named Entity Recognition)

  1. Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu and Wei Lu. Named Entity and Relation Extraction with Multi-Modal Retrieval. EMNLP 2022 Findings
  2. Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, hongbin wang and Xiaojie Yuan. A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition. EMNLP 2022 [code]
  3. Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu and Si Li. Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. EMNLP 2022 Findings
  4. Jie Wang, Yan Yang, Keyu Liu, Zhiping Zhu and Xiaorong Liu. M3S: Scene graph driven Multi-granularity Multi-task learning for Multi-modal NER. TASLP 2022 [paper]
  5. Xuwu Wang; Jiabo Ye; Zhixu Li; Junfeng Tian; Yong Jiang; Ming Yan; Ji Zhang; Yanghua Xiao. CAT-MNER: Multimodal Named Entity Recognition with Knowledge-Refined Cross-Modal Attention. ICME 2022 [paper]
  6. Junyu Lu, Dixiang Zhang, Jiaxing Zhang, Pingjian Zhang. Flat Multi-modal Interaction Transformer for Named Entity Recognition. COLING 2022 [paper]
  7. Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song. Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts. COLING 2022 [paper]
  8. Meihuizi Jia, Xin Shen, Lei Shen, Jinhui Pang, Lejian Liao, Yang Song, Meng Chen, Xiaodong He. Query Prior Matters: A MRC Framework for Multimodal Named Entity Recognition. ACM MM 2022 [paper]
  9. Fei Zhao, Chunhui Li, Zhen Wu, Shangyu Xing, Xinyu Dai. Learning from Different text-image Pairs: A Relation-enhanced Graph Convolutional Network for Multimodal NER. ACM MM 2022 [paper]
  10. Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, and Huajun Chen. Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. SIGIR 2022. [paper] [code]
  11. Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu. ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. NAACL 2022. [paper] [code]
  12. Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, and Huajun Chen. Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL 2022 Findings. [paper] [code]
  13. Bo Xu, Shizhou Huang, Chaofeng Sha, and Hongya Wang. MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. WSDM 2022. [paper]
  14. Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Qiaoming Zhu, and Guodong Zhou. Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance. AAAI 2021. [paper] [code]
  15. Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su and Fangsheng Weng. RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER. AAAI 2021. [paper] [code]
  16. Dawei Chen, Zhixu Li, Binbin Gu, and Zhigang Chen. Multimodal Named Entity Recognition with Image Attributes and Image Knowledge. DASFAA 2021. [paper]
  17. Shuguang Chen, Gustavo Aguilar, Leonardo Neves and Thamar Solorio. Can images help recognize entities? A study of the role of images for Multimodal NER. WNUT 2021. [paper]
  18. Luping Liu, Meiling Wang, Mozhi Zhang, Linbo Qing and Xiaohai He. UAMNer: uncertainty-aware multimodal named entity recognition in social media posts. Applied Intelligence 2021. [paper]
  19. Zhiwei Wu, Changmeng Zheng, Yi Cai, Junying Chen, Ho-fung Leung and Qing Li. Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts. ACM MM 2020. [paper]
  20. Changmeng Zheng, Zhiwei Wu, Tao Wang, Yi Cai and Qing Li. Object-Aware Multimodal Named Entity Recognition in Social Media Posts With Adversarial Learning. IEEE Transactions on Multimedia 2020. [paper]
  21. 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] [code]
  22. Hanqian Wu, Siliang Cheng, Jingjing Wang, Shoushan Li, and Lian Chi. Multimodal Aspect Extraction with Region-Aware Alignment Network. NLPCC 2020. [paper]
  23. Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang and Heng Ji. Visual Attention Model for Name Tagging in Multimodal Social Media. ACL 2018. [paper]
  24. Qi Zhang, Jinlan Fu, Xiaoyu Liu and Xuanjing Huang. Adaptive Co-Attention Network for Named Entity Recognition in Tweets. AAAI 2018. [paper]
  25. Seungwhan Moon, Leonardo Neves and Vitor Carvalho. Multimodal Named Entity Recognition for Short Social Media Posts. NAACL 2018. [paper]

3.2 Multi-Modal Category-Oriented Sentiment Classification

  1. Jianfei Yu, Kai Chen, and Rui Xia. Hierarchical Interactive Multimodal Transformer for Aspect-Based Multimodal Sentiment Analysis. IEEE Transactions on Affective Computing 2022. [paper]
  2. 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]
  3. Nan Xu, Wenji Mao, and Guandan Chen. Multi-interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. AAAI 2019. [paper] [code]

3.3 Multi-Modal Aspect-Oriented Sentiment Classification

  1. Hao Yang, Yanyan Zhao and Bing Qin. Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. EMNLP 2022 [code]
  2. Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, Shujian Huang, Jiajun Chen. Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification. COLING 2022 [paper]
  3. Yufeng Huang, Zhuo Chen, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan,Zhen Yao, Yujie Xie, Huajun Chen. Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph. arxiv 2022 [paper]
  4. Yang Yu, Dong Zhang, Shoushan Li. Unified Multi-modal Pre-training for Few-shot Sentiment Analysis with Prompt-based Learning. ACM MM2022 [paper]
  5. Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang,Xuanjing Huang. Sentiment-aware multimodal pre-training for multimodal sentiment analysis. KBS 2022 [paper]
  6. Zhen Li, Bing Xu, Conghui Zhu, and Tiejun Zhao. CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. NAACL 2022 Findings. [paper]
  7. Jianfei Yu, Jieming Wang, Rui Xia and Junjie Li. Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching. IJCAI 2022. [paper]
  8. Zaid Khan and Yun Fu. Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation. ACM MM 2021 [paper] [code]
  9. Zhe Zhang, Zhu Wang, Xiaona Li, Nannan Liu, Bin Guo, and Zhiwen Yu. ModalNet: an aspect-level sentiment classification model by exploring multimodal data with fusion discriminant attentional network. World Wide Web 2021. [paper]
  10. Jianfei Yu, Jing Jiang and Rui Xia. Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification. IEEE/ACM TASLP 2020. [paper]
  11. Jianfei Yu and Jing Jiang. Adapting BERT for Target-Oriented Multimodal Sentiment Classification. IJCAI 2019. [paper] [code]

3.4 Multi-Modal Aspect-Sentiment Pair Extraction

  1. Ru Zhou, Wenya Guo, Xumeng Liu, Shenglong Yu, Ying Zhang, and Xiaojie Yuan. AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis. Findings of ACL 2023. [paper] [code]
  2. Xiaocui Yang, Shi Feng, Daling Wang, Sun Qi, Wenfang Wu, Yifei Zhang, Pengfei Hong, and Soujanya Poria. Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt. Findings of ACL 2023. [paper] [code]
  3. Zhewen Yu, Jin Wang, Liang-Chih Yu, and Xuejie Zhang. Dual-Encoder Transformers with Cross-modal Alignment for Multimodal Aspect-based Sentiment Analysis. AACL-IJCNLP 2022. [paper] [code]
  4. Li Yang, Jin-Cheon Na, and Jianfei Yu. Cross-Modal Multitask Transformer for End-to-End Multimodal Aspect-Based Sentiment Analysis. Information Processing and Management, 59(5), 103038, 2022. [paper] [code]
  5. Yan Ling, Jianfei Yu, and Rui Xia. Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis. ACL 2022. [paper] [code]
  6. Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, and Guodong Zhou. Joint Multi-Modal Aspect-Sentiment Analysis with Auxiliary Cross-Modal Relation Detection. EMNLP 2021 [paper] [code]

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Reading list of aspect-based sentiment analysis.