Research Progress on Emotion-related Dialogue Systems (ongoing)

Surveys

1. Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang. A Survey on Dialogue Systems: Recent Advances and New Frontiers. ACM SIGKDD 2017 [paper]
2. Facebook AI Research. Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions. arxiv 2020 [paper]

Datasets

Emotional Dialogue

1. DailyDialog. [paper]
2. EmotionLines. [paper]
3. MELD. [paper]
4. MPDD (Chinese). [paper]

Empathetic Dialogue

1. EmpatheticDialogues. [paper]
2. Towards Emotional Support Dialog Systems. ACL 2021. [paper]
3. A Large-Scale Dataset for Empathetic Response Generation. EMNLP 2021. [paper]

Emotion-related Resources

1. NRC (Crowdsourcing a word–emotion association lexicon). [paper]
2. NRC_VAD (Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words). [paper]
3. CancerEmo (A Dataset for Fine-Grained Emotion Detection). [paper]

Papers

Empathetic Dialogue

1. Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen. Knowledge Bridging for Empathetic Dialogue Generation. AAAI 2022. [paper]
2. Jun Gao, Yuhan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, Ruifeng Xu. Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations. EMNLP 2021 Findings. [paper]
3. Hyunwoo Kim, Byeongchang Kim, Gunhee Kim. Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes. EMNLP 2021 [paper]
4. Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou. Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. EMNLP 2021 Findings. [paper]
5. Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang. Towards Emotional Support Dialog Systems. ACL 2021. [paper]
6. Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang. CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. ACL 2021 Findings. [paper]
7. Yubo Xie, Pearl Pu. Empathetic Dialog Generation with Fine-Grained Intents. CoNLL 2021. [Paper]
8. Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen. EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. In Proceedings of COLING 2020. [paper]
9. Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu and Chunyan Miao. Endowing Empathetic Conversational Models with Personas. In Proceedings of EMNLP 2020. [paper]
10. Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung. Generating Empathetic Responses by Looking Ahead the User’s Sentiment. In Proceedings of ICASSP 2020. [paper]
11. Anuradha Welivita, Pearl Pu. A Taxonomy of Empathetic Response Intents in Human Social Conversations. In Proceedings of COLING 2020. [paper]
12. Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki and Jun Goto. MIME: MIMicking Emotions for Empathetic Response Generation. In Proceedings of EMNLP 2020. [paper]
13. Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung. CAiRE: An Empathetic Neural Chatbot. In Proceedings of AAAI 2020. [demo paper]
14. Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau. Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset. In Proceedings of ACL 2019. [paper]
15. Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung. MoEL: Mixture of Empathetic Listeners. In Proceedings of EMNLP 2019. [paper]
16. Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu. Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. In Proceedings of CIKM 2019. [paper]

Emotional Dialogue

1. Lei Shen, Yang Feng. CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. In Proceedings of ACL 2020. [paper]
2. Ao Zhang, Shizhan Chen, Xiaowang Zhang, Rui Li, Xinzhi Zhang. A Knowledge-Enriched Model for Emotional Conversation Generation. In Proceedings of WWW 2020. [short paper]
3. Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang. Generating Responses with a Specific Emotion in Dialog. In Proceedings of ACL 2019. [paper]
4. Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia. Affect-Driven Dialog Generation. In Proceedings of NAACL 2019. [paper]
5. Peixiang Zhong, Di Wang, Chunyan Miao. An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss. In Proceedings of AAAI 2019. [paper]
6. Xianda Zhou, William Yang Wang. MojiTalk: Generating Emotional Responses at Scale. In Proceedings of ACL 2018. [paper]
7. Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri. Automatic Dialogue Generation with Expressed Emotions. In Proceedings of NAACL 2018. [paper]
8. Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu. Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. In Proceedings of AAAI 2018. [paper]

Emotion Detection in Dialogue

1. Mahshid Hosseini, Cornelia Caragea. Distilling Knowledge for Empathy Detection. EMNLP 2021 Findings. [paper]
2. Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki and Jun Goto. Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations. In Proceedings of EMNLP 2020. [paper]
3. Faeze Brahman and Snigdha Chaturvedi. Modeling Protagonist Emotions for Emotion-Aware Storytelling. In Proceedings of EMNLP 2020. [paper]
4. Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin, An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. In Proceedings of COLING 2020. [paper]
5. Connor T. Heaton, David M. Schwartz. Language Models as Emotional Classifiers for Textual Conversations. arxiv 2020. [paper]
6. Peixiang Zhong, Di Wang, Chunyan Miao. Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations. In Proceedings of EMNLP 2019. [paper]
7. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. In Proceedings of EMNLP 2019. [paper]
8. Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria. DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. In Proceedings of AAAI 2019. [paper]
9. Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gomez, Fabio A. Gonzalez, Thamar Solorio. Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. In Proceedings of NAACL 2018. [paper]
10. Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann. ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. In Proceedings of EMNLP 2018. [paper]

Others

1. Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth Forbus, Jianfeng Gao. NICE: Neural Image Commenting with Empathy. EMNLP 2021. [paper]
2. Kezhen Chen Qiuyuan Huang Daniel McDuff Jianfeng Wang Hamid Palangi Xiang Gao Kevin Li Kenneth Forbus Jianfeng Gao. NICE: Neural Image Commenting Evaluation with an Emphasis on Emotion and Empathy. NeurIPS 2020. [paper] [video]