[1]. Emotion Cause Events: Corpus Construction and Analysis S. Yat, M. Lee, Y. Chen. LREC 2010 [pdf]
[2]. Overview of NTCIR-13 ECA Task. Q Gao, J Hu, R Xu. NTCIR 2013 [pdf]
[3]. Text-based Emotion Classification Using Emotion Cause Extraction. W Li, H Xu. Expert Systems with Applications 2014. [pdf]
[4]. Semantic Role Labeling of Emotions in Tweets S Mohammad, X Zhu, J Martin. WASSA 2014.* [pdf] [data]
[5]. Detecting Emotion Stimuli in Emotion-Bearing Sentences. D Ghazi, D Inkpen, S Szpakowicz. CICLing 2015. [pdf] [data]
[6]. Emotion Cause Extraction, A Challenging Task with Corpus Construction. L Gui, R Xu, Q Lu, D Wu, Y Zhou. SMP 2016. [pdf] [data]
[7]. An Emotion Cause Corpus for Chinese Microblogs with Multiple-User Structures. X Cheng, Y Chen, B Cheng, S Li, G Zhou. ACM TALLIP 2017. [pdf]
[8]. Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions. E Kim, R Klinger. COLING 2018. [pdf] [data]
[9]. Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. R Xia, Z Ding. ACL 2019. [pdf] [data] [code]
[10]. GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception. L Bostan, E Kim, R Klinger. LREC 2020. [pdf] [data]
[11]. ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification. H Bi, P Liu. arXiv 2020. [pdf] [data]
[12]. Social Emotion Cause Extraction from Online Texts. X Xiao, L Wang, Q Kong, W Mao. ISI 2020. [pdf]
[13]. Conditional Causal Relationships between Emotions and Causes in Texts. X Chen, Q Li, J Wang. EMNLP 2020. [pdf] [data]
[14]. Emotion-cause span extraction: a new task to emotion cause identification in texts. M Li, H Zhao, H Su, Y Qian, P Li. APIN 2021. [pdf] [data]
[1]. A Text-driven Rule-based System for Emotion Cause Detection. S Lee, Y Chen, C Huang. NAACL 2010. [pdf]
This paper proposed 1.a Chinese EC annotated corpus; 2.a rule-based system for automatic detection of EC; 3.an evaluation scheme for performance sessment.
[2]. A Linguistic Approach to Emotion Detection and Classification. SYM Lee. Ph.D. dissertation. PolyU 2010. [pdf]
[3]. Emotion Cause Detection with Linguistic Constructions. Y Chen, S Lee, S Li, C Huang. Coling 2010. [pdf]
[4]. Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text. L Gui, L Yuan, R Xu, B Liu, Q Lu, Y Zhou. NLPCC 2014. [pdf]
[5]. A Rule-based Approach to Emotion Cause Detection for Chinese Micro-blogs. K Gao, H Xu, J Wang. Expert System with Applications. 2015. [pdf]
[6]. Event-Driven Emotion Cause Extraction with Corpus Construction. L Gui, D Wu, R Xu, Q Lu, Y Zhou. EMNLP 2016. [pdf]
[1]. Extracting Emotion Causes using Learning to Rank Methods from an Information Retrieval Perspective. B Xu, H Lin, Y Lin, Y Diao, L Yang, K Xu. IEEE ACCESS 2019. [pdf]
[2]. From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. Z Ding, H He, M Zhang, R Xia. AAAI 2019. [pdf]
[1]. A Question Answering Approach to Emotion Cause Extraction. L Gui, J Hu, Y He, R Xu, Q Lu, J Du. EMNLP 2017. [pdf]
[1]. Joint Learning for Emotion Classification and Emotion Cause Detection. Y Chen, W Hou, X Cheng, S Li. EMNLP 2018.[pdf]
[2]. Emotion-Cause Joint Detection: A Unified Network with Dual Interaction for Emotion Cause Analysis. G Hu, G Lu, Y Zhao. NLPCC 2020.[pdf] [code]
[1]. Multiple Level Hierarchical Network Based Clause Selection for Emotion Cause Extraction. X Yu, W Rong, Z Zhang, Y Ouyang, Z Xiong. IEEE ACCESS 2019. [pdf] [code]
[2]. RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. R Xia, M Zhang, Z Ding. IJCAI 2019. [pdf] [code]
[1]. A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. X Li, K Song, S Feng, D Wang, Y Zhang. EMNLP 2018 [pdf]
[2]. Context-aware Emotion Cause Analysis With Multi-attention-based Neural Network. X Li, S Feng, D Wang, Y Zhang. KBS 2019, 174: 205-218 [pdf]
[1]. FSS-GCN: A Graph Convolutional Networks with Fusion of Semantic and Structure for Emotion Cause Analysis. G Hu, G Lu, Y Zhao. KBS 2021. [pdf] [code]
[1]. Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. P Wei, J Zhao, W Mao. ACL 2020 [pdf] [code]
[1]. ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. Z Ding, R Xia, J Yu. ACL 2020 [pdf] [code]
[2]. Joint multi-level attentional model for emotion detection and emotion-cause pair extraction. H Tang, D Ji, Q Zhou. Neurocomputing 2020 [pdf] [code]
[3]. An End-to-End Multi-Task Learning to Link Framework for Emotion-Cause Pair Extraction. H Song, C Zhang, Q Li, D Song. arXiv 2020 [pdf] [code] [code]
[4]. A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. S Wu, F Chen, F Wu, Y Huang, X Li. ECAI 2020 [pdf] [code]
[5]. End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning. Z Ding, R Xia, J Yu. EMNLP 2020 [pdf] [code]
[6]. A New Component of Interactive Multi-task Network Model for Emotion-Cause Pair Extraction. J Shan, M Zhu. CISAI 2020 [pdf]
[7]. A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction. X Jia, X Chen, Q Wan, J Liu. ACAI 2020 [pdf]
[8]. An End-to-End Multi-task Learning Network with Scope Controller for Emotion-Cause Pair Extraction. R Fan, Y Wang, T He. NLPCC 2020 [pdf]
[9]. A Symmetric Local Search Network for Emotion-Cause Pair Extraction. Z Cheng, Z Jiang, Y Yin, H Yu, Q Gu. COLING 2020 [pdf]
[10]. A Mutually Auxiliary Multitask Model with Self-Distillation for Emotion-Cause Pair Extraction. J Yu, W Liu, Y He, C Zhang. IEEE Access 2021 [pdf]
[1]. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. C Fan, C Yuan, J Du, L Gui, M Yang, R Xu. ACL 2020 [pdf] [code]
[1]. A Unified Sequence Labeling Model for Emotion Cause Pair Extraction. X Chen, Q Li, J Wang. COLING 2020 [pdf]
[2]. Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme. C Yuan, C Fan, J Bao, R Xu. EMNLP 2020 [pdf]
[1]. End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network. Y Chen, W Hou, S Li, X Zhang. COLING 2020 [pdf]