Emotion-Cause-Analysis Reading List

This is a reading list on the task of Emotion Cause Analysis maintained by Zixiang Ding, Fanfan Wang, and Jiaming An from NUSTM. Last update time: 20211207.

Contents

• 1. Emotion-Cause Pair Extraction (ECPE)
• 2. Emotion Cause Extraction (ECE)
  • 2.1 Span-level ECE
  • 2.2 Clause-level ECE
  • 2.3 Multi-level ECE
• 3. Other Tasks
• 4. Datasets

1. Emotion-Cause Pair Extraction (ECPE)

1. Aaditya Singh, Shreeshail Hingane, Saim Wani, and Ashutosh Modi. An End-to-End Network for Emotion-Cause Pair Extraction. EACL 2021. [paper] [code]
2. Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang, Ruifeng Xu. Multi-task Sequence Tagging for Emotion-Cause Pair Extraction via Tag Distribution Refinement. TASLP 2021. [paper]
3. Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Na Li, Qing Gu. A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction. TASLP 2021. [paper]
4. Jiaxin Yu, Wenyuan Liu, Yongjun He, Chunyue Zhang. A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction. IEEE Access 2021.[paper]
5. Wei Fan, Yuexuan Zhu, Ziyun Wei, Tianyu Yang, W. H. Ip, Yuxiang Zhang. Order-guided deep neural network for emotion-cause pair prediction. Applied Soft Computing 2021.[paper]
6. Qixuan Sun, Yaqi Yin, Hong Yu. A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. IJCNN 2021.[paper]
7. Zhuojin Liu, Zhongxin Jin, Chaodi Wei, Xiangju Li, Shi Feng. CoEmoCause: A Chinese Fine-Grained Emotional Cause Extraction Dataset. WISA 2021.[paper]
8. Zixiang Ding, Rui Xia, and Jianfei Yu. ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. ACL 2020. [paper] [code]
9. Penghui Wei, Jiahao Zhao, and Wenji Mao. Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. ACL 2020. [paper] [code]
10. Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang, and Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. ACL 2020. [paper] [code]
11. Chaofa Yuan, Chuang Fan, Jianzhu Bao, and Ruifeng Xu. Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme. EMNLP 2020. [paper]
12. Zixiang Ding, Rui Xia, and Jianfei Yu. End-to-End Emotion-Cause Pair Extraction Based on Sliding Window Multi-Label Learning. EMNLP 2020. [paper] [code]
13. Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Hua Yu, and Qing Gu. A Symmetric Local Search Network for Emotion-Cause Pair Extraction. COLING 2020. [paper]
14. Xinhong Chen, Qing Li, and Jianping Wang. A Unified Sequence Labeling Model for Emotion Cause Pair Extraction. COLING 2020. [paper]
15. Ying Chen, Wenjun Hou, Shoushan Li, Caicong Wu, and Xiaoqiang Zhang. End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network. COLING 2020. [paper]
16. Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, and Xing Li. A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. ECAI 2020. [paper]
17. Hao Tang, Donghong Ji, and Qiji Zhou. Joint Multi-level Attentional Model for Emotion Detection and Emotion-cause Pair Extraction. Neurocomputing 2020. [paper]
18. Rui Fan, Yufan Wang, Tingting He. An End-to-End Multi-task Learning Network with Scope Controller for Emotion-Cause Pair Extraction. NLPCC 2020. [paper]
19. Haolin Song, Chen Zhang, Qiuchi Li, and Dawei Song. End-to-end Emotion-Cause Pair Extraction via Learning to Link. ArXiv 2020. [paper]
20. Rui Xia and Zixiang Ding. Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. ACL 2019. [paper] [code]

2. Emotion Cause Extraction (ECE)

2.1 Span-level ECE

1. Xiangju Li, Wei Gao, Shi Feng, Yifei Zhang, Daling Wang. Boundary Detection with BERT for Span-level Emotion Cause Analysis. ACL (Findings) 2021. [paper]
2. Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan, Smaranda Muresan. Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction. ACL (Findings) 2021. [paper]
3. Xiangju Li, Wei Gao, Shi Feng, Wang Daling, and Shafiq Joty. Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. CIKM 2021.[paper]
4. Xiangju Li, Wei Gao, Shi Feng, Wang Daling, and Shafiq Joty. Span-level Emotion Cause Analysis with Neural Sequence Tagging. CIKM 2021.[paper]
5. Haoda Qian, Qiudan Li, Zaichuan Tang. A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction. ICANN 2021. [paper]
6. Min Li, Hui Zhao, Hao Su, YuRong Qian and Ping Li. Emotion-cause span extraction: a new task to emotion cause identification in texts. Applied Intelligence 2021. [paper]
7. Shuntaro Yada, Kazushi Ikeda, Keiichiro Hoashi, and Kyo Kageura. A bootstrap method for automatic rule acquisition on emotion cause extraction. ICDMW 2017. [paper]
8. Shuangyong Song and Yao Meng. Detecting concept-level emotion cause in microblogging. WWW 2015. [paper]
9. Diman Ghazi, Diana Inkpen, and Stan Szpakowicz. Detecting emotion stimuli in emotion-bearing sentences. CICLing 2015. [paper]
10. Kai Gao, Hua Xu, and Jiushuo Wang. Emotion cause detection for chinese micro-blogs based on ecocc model. PAKDD 2015. [paper]
11. Kai Gao, Hua Xu, and Jiushuo Wang. A rule-based approach to emotion cause detection for chinese micro-blogs. Expert Systems with Applications 2015. [paper]
12. Weiyuan Li and Hua Xu. Text-based emotion classification using emotion cause extraction. Expert Systems with Applications 2014. [paper]
13. Alena Neviarouskaya and Masaki Aono. Extracting causes of emotions from text. IJCNLP 2013. [paper]
14. Sophia Yat Mei Lee, Ying Chen, Chu-Ren Huang, and Shoushan Li. Detecting emotion causes with a linguistic rule-based approach. Computational Intelligence 2013. [paper]
15. Sophia Yat Mei Lee, Ying Chen, and Chu-Ren Huang. A text-driven rule-based system for emotion cause detection. NAACL-HLT 2010. [paper]

2.2 Clause-level ECE

1. Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. ACL 2021. [paper]
2. Guimin Hu, Guangming Lu, Yi Zhao. Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction. EMNLP (Findings) 2021. [paper]
3. Wenhui Yu, Chongyang Shi. Emotion Cause Extraction by Combining Intra-clause Sentiment-enhanced Attention and Inter-clause Consistency Interaction. ICCCS 2021. [paper]
4. Guimin Hu, Guangming Lu and Yi Zhao. FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis. Knowledge-Based Systems 2021. [paper] [code]
5. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu. Two-stage supervised ranking for emotion cause extraction. Knowledge-Based Systems 2021.[paper]
6. Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu. Emotion cause detection with enhanced-representation attention convolutional-context network. Soft Comput 2021. [paper]
7. Jing Wan, Han Ren. Emotion Cause Detection with a Hierarchical Network. ICICT 2021.[paper]
8. Peiqin Lin, Meng Yang, Yu Gu. A Hierarchical Inter-Clause Interaction Network for Emotion Cause Extraction. IJCNN 2021.[paper]
9. Guimin Hu, Guangming Lu, Yi Zhao. Emotion-Cause Joint Detection: A Unified Network with Dual Interaction for Emotion Cause Analysis. NLPCC 2020. [paper]
10. Xinglin Xiao, Lei Wang, Qingchao Kong, Wenji Mao. Social Emotion Cause Extraction from Online Texts. ISI 2020.[paper]
11. Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu, Bo Xu. Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. Neural Comput 2020. [paper]
12. Jiayuan Ding, Mayank Kejriwal. An Experimental Study of The Effects of Position Bias on Emotion Cause Extraction. Arxiv 2020. [paper]
13. Rui Xia, Mengran Zhang, and Zixiang Ding. RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. IJCAI 2019. [paper] [code]
14. Zixiang Ding, Huihui He, Mengran Zhang, and Rui Xia. From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. AAAI 2019. [paper] [code]
15. Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, and Ruibin Mao. A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. EMNLP-IJCNLP 2019. [paper]
16. Xiangju Li, Shi Feng, Daling Wang, and Yifei Zhang. Context-aware emotion cause analysis with multi-attention-based neural network. Knowledge-Based Systems 2019. [paper]
17. Xinglin Xiao, Penghui Wei, Wenji Mao, and Lei Wang. Context-Aware Multi-View Attention Networks for Emotion Cause Extraction. ISI 2019. [paper]
18. Xinyi Yu, Wenge Rong, Zhuo Zhang, Yuanxin Ouyang, and Zhang Xiong. Multiple level hierarchical network-based clause selection for emotion cause extraction. IEEE Access 2019. [paper] [code]
19. Bo Xu, Hongfei Lin, Yuan Lin, Yufeng Diao, Liang Yang, and Kan Xu. Extracting emotion causes using learning to rank methods from an information retrieval perspective. IEEE Access 2019. [paper]
20. Jiaxing Hu, Shumin Shi, and Heyan Huang. Combining External Sentiment Knowledge for Emotion Cause Detection. NLPCC 2019. [paper]
21. Xiangju Li, Kaisong Song, Shi Feng, DalingWang, and Yifei Zhang. A co-attention neural network model for emotion cause analysis with emotional context awareness. EMNLP 2018. [paper]
22. Ying Chen, Wenjun Hou, Xiyao Cheng, and Shoushan Li. Joint learning for emotion classification and emotion cause detection. EMNLP 2018. [paper]
23. Ying Chen, Wenjun Hou, and Xiyao Cheng. Hierarchical convolution neural network for emotion cause detection on microblogs. ICANN 2018. [paper]
24. 慕永利, 李旸, 王素格. 基于 E-CNN 的情绪原因识别方法. 中文信息学报 2018. [paper]
25. 张晨, 钱涛, 姬东鸿. 基于神经网络的微博情绪识别与诱因抽取联合模型. 计算机应用 2018. [paper]
26. Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, and Jiachen Du. A question answering approach to emotion cause extraction. EMNLP 2017. [paper]
27. Ruifeng Xu, Jiannan Hu, Qin Lu, Dongyin Wu, and Lin Gui. An ensemble approach for emotion cause detection with event extraction and multikernel svms. Tsinghua Science and Technology 2017. [paper]
28. Xiyao Cheng, Ying Chen, and Bixiao Cheng. An Emotion Cause Corpus for Chinese Microblogs with Multiple-User Structures. TALLIP 2017. [paper]
29. Qinghong Gao, Jiannan Hu, Ruifeng Xu, Lin Gui, Yulan He, Qin Lu, and Kam-Fai Wong. Overview of NTCIR-13 ECA task. NTCIR-13 2017. [paper]
30. Xiangju Li, Shi Feng, Daling Wang, and Yifei Zhang. Decision Tree Method for the NTCIR-13 ECA Task. NTCIR-13 2017. [paper]
31. Han Ren, Yafeng Ren, and Jing Wan. The GDUFS System in NTCIR-13 ECA Task. NTCIR-13 2017. [paper]
32. Maofu Liu, Linxu Xia, Zhenlian Zhang, and Yang Fu. WUST CRF-Based System at NTCIR-13 ECA Task. NTCIR-13 2017. [paper]
33. Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, and Yu Zhou. Event-driven emotion cause extraction with corpus construction. EMNLP 2016. [paper]
34. Lin Gui, Ruifeng Xu, Qin Lu, Dongyin Wu, and Yu Zhou. Emotion cause extraction, a challenging task with corpus construction. In Chinese National Conference on Social Media Processing, 2016. [paper]
35. Lin Gui, Li Yuan, Ruifeng Xu, Bin Liu, Qin Lu, and Yu Zhou. Emotion cause detection with linguistic construction in chinese weibo text. NLPCC 2014. [paper]
36. 李逸薇, 李寿山, 黄居仁, 高伟. 基于序列标注模型的情绪原因识别方法. 中文信息学报 2013. [paper]
37. Irene Russo, Tommaso Caselli, Francesco Rubino, Ester Boldrini, and Patricio Mart´ınez-Barco. Emocause: an easy-adaptable approach to emotion cause contexts. WASSA 2011. [paper]
38. Ying Chen, Sophia Yat Mei Lee, Shoushan Li, and Chu-Ren Huang. Emotion cause detection with linguistic constructions. COLING 2010. [paper]

2.3 Multi-level ECE

1. Xiangju Li, Shi Feng, Yifei Zhang, Daling Wang. Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning. CCL 2021. [paper]

3. Other Tasks

1. Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu. Multimodal Emotion-Cause Pair Extraction in Conversations. CoRR 2021. [paper]
2. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea. Recognizing Emotion Cause in Conversations. Cognitive Computation 2021. [paper] [code]
3. Hongliang Bi and Pengyuan Liu. ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification. ArXiv 2020. [paper]
4. Xinhong Chen, Qing Li and JianpingWang. Conditional Causal Relationships between Emotions and Causes in Texts. EMNLP 2020. [paper] [code]

4. Datasets