A comprehensive reading list for papers related to Emotion Recognition in Conversations (ERC), Emotional Support Conversation (ESC), contextual Sentiment/Affect/Sarcasm Analysis, or joint classification of pragmatics such as Dialogue Acts in Conversations.

The initial version forked from declare-lab/awesome-emotion-recognition-in-conversations.

• What is ERC?
• 1.Overviews
• 2.Data Resources
• 3.Emotion Recognition in Conversations (ERC)
• 4.Emotional Support Conversation (ESC)
• 5.Contextual Sentiment Analysis
• 6.Contextual Sarcasm Analysis
• 7.Others
• 8.Workshops and Shared Tasks

ERC is a task that aims at predicting emotion of each utterance in a conversation. The following is an excerpt of a conversation with each utterance tagged with corresponding emotion and sentiment label:

• Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research, IEEE Transactions on Affective Computing 2020
• Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances, IEEE Access 2019

1. M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database, ACL 2022, [code]
2. MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations, COLING 2020
3. Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset, ACL 2020
4. ScenarioSA: A Dyadic Conversational Database for Interactive Sentiment Analysis, IEEE Access 2020
5. K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations, Arxiv 2020
6. Emotional Dialogue Acts, LREC 2020
7. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations, ACL 2019
8. MUStARD: Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper), ACL 2019
9. Understanding emotions in text using deep learning and big data, Computers in Human Behavior 2019
10. Emotionlines: An emotion corpus of multi-party conversations, LREC 2018
11. DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset, AFNLP 2017
12. The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent, IEEE Transactions on Affective Computing 2012
13. IEMOCAP: Interactive emotional dyadic motion capture database, JLRE 2008

1. CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation, NAACL 2022, [code]
2. Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation, IJCAI 2022
3. CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations, IJCAI 2022
4. EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition, ACL findings 2022,
5. DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition, ACL findings 2022, [code]
6. Is Discourse Role Important for Emotion Recognition in Conversation?, AAAI 2022
7. Hybrid Curriculum Learning for Emotion Recognition in Conversation, AAAI 2022
8. Contrast and Generation Make BART a Good Dialogue Emotion Recognizer, AAAI 2022
9. Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks, EMNLP 2021
10. Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy, EMNLP 2021
11. DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations, ACL 2021
12. MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation, ACL 2021
13. Directed Acyclic Graph Network for Conversational Emotion Recognition, ACL 2021
14. COIN: Conversational Interactive Networks for Emotion Recognition in Conversation, Workshop on Multimodal Artificial Intelligence, NAACL 2021
15. DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition, AAAI 2021
16. Quantum-inspired Neural Network for Conversational Emotion Recognition, AAAI 2021
17. Modeling both Intra- and Inter-modal Influence for Real-Time Emotion Detection in Conversations, ACM MM 2020
18. Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations, COLING 2020
19. CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue, COLING 2020
20. DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation, Arxiv 2020
21. Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer, COLING 2020
22. Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition, COLING 2020
23. An Iterative Emotion Interaction Network for Emotion Recognition in Conversations, COLING 2020
24. HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations, COLING 2020
25. [Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations], EMNLP 2020
26. HAN-ReGRU: hierarchical attention network with residual gated recurrent unit for emotion recognition in conversation, Neural Computing Applications 2020
27. Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network, AAAI 2020
28. Adapted Dynamic Memory Network for Emotion Recognition in Conversation, IEEE Transactions on Affective Computing 2020
29. Different Contextual Window Sizes Based RNNs for Multimodal Emotion Detection in Interactive Conversations, IEEE Access 2020
30. Domain adversarial learning for emotion recognition, Arxiv 2020
31. Towards Emotion-aided Multi-modal Dialogue Act Classification, ACL 2020
32. A Self-Attentive Emotion Recognition Network, ICASSP 2020
33. Hierarchical Transformer Network for Utterance-Level Emotion Recognition, Applied Sciences 2020
34. Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening, Springer 2020
35. A Novel Semantic Approach for Intelligent Response Generation using Emotion Detection Incorporating NPMI Measure, Procedia Computer Science, 2020
36. HGFM: A Hierarchical Grained and Feature Model for Acoustic Emotion Recognition, ICASSP 2020
37. A Dialogical Emotion Decoder for Speech Motion Recognition in Spoken Dialog, ICASSP 2020
38. Adapted Dynamic Memory Network for Emotion Recognition in Conversation, IEEE Transaction on Affective Computing 2020
39. Contextualized Emotion Recognition in Conversation as Sequence Tagging, SIGDIAL 2020
40. Different Contextual Window Sizes based RNNs for Multimodal Emotion Detection in Interactive Conversations, IEEE Access 2020
41. Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks, KDD 2020
42. Attention-based modeling for emotion detection and classification in textual conversations, Arxiv 2020
43. BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis, Arxiv 2020
44. Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition, Arxiv 2020
45. Analysis of Utterance Combinations for Emotion Recognition in Conversation, Unpublished
46. Interactive double states emotion cell model for textual dialogue emotion prediction, KBS 2020
47. Contextualized Emotion Recognition in Conversation as Sequence Tagging, SIGDIAL 2020
48. Non-acted multi-view audio-visual dyadic interactions. Project non-verbal emotion recognition in dyadic scenarios and speaker segmentation, Masters/Doctoral Thesis 2020
49. Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation, HML Workshop, ACL 2020
50. Conversational Transfer Learning for Emotion Recognition, INFFUS 2020
51. An interaction-aware attention network for speech emotion recognition in spoken dialogs, ICASSP 2019
52. Higru: Hierarchical gated recurrent units for utterance-level emotion recognition, NAACL 2019
53. Detecting Topic-Oriented Speaker Stance in Conversational Speech, Interspeech 2019
54. Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition, ACM MM 2019
55. An Effective Deep Learning Approach for Dialogue Emotion Recognition in Car-Hailing Platform, IEEE SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019
56. LIRMM-advanse at SemEval-2019 Task 3: Attentive conversation modeling for emotion detection and classification, Semeval 2019 Task 3
57. ntuer at semeval-2019 task 3: Emotion classification with word and sentence representations in rcnn, Semeval 2019 Task 3
58. Coastal at semeval-2019 task 3: Affect classification in dialogue using attentive bilstms, Semeval 2019 Task 3
59. EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination, Semeval 2019 Task 3.
60. Modeling both Context-and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations, IJCAI 2019
61. What a Dialogue! A Deep Neural Framework for Contextual Affect Detection, ICNIP 2019
62. Attentional Neural Network for Emotion Detection in Conversations with Speaker Influence Awareness, CCF International Conference on Natural Language Processing and Chinese Computing 2019
63. Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations, EMNLP 2019
64. PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition, Arxiv 2019
65. EmotionX-IDEA: Emotion BERT – an Affectional Model for Conversation, Arxiv 2019
66. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation, EMNLP 2019
67. DialogueRNN: An Attentive RNN for Emotion Detection in Conversations, AAAI 2019
68. ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection, EMNLP 2018
69. Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos, NAACL 2018

1. Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation, IJCAI 2022
2. MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation, ACL 2022, [code]
3. CEM: Commonsense-Aware Empathetic Response Generation, AAAI 2022, [code]
4. Towards Emotional Support Dialog Systems, ACL 2021, [code]
5. CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation, ACL findings 2021, [code]

• Sentiment Forecasting in Dialog, COLING 2020
• DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification, AAAI 2020
• A Quantum-like Multimodal Network Framework for Modeling Interaction Dynamics in Multiparty Conversational Sentiment Analysis, Information Fusion 2020
• Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis, IJCAI 2019
• Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis, ICTAI 2019

• Reactive Supervision: A New Method for Collecting Sarcasm Data, EMNLP 2020
• Sarcasm Detection Using an Ensemble Approach, FigLang, ACL 2020
• Sarcasm Detection using Context Separators in Online Discourse, FigLang, ACL 2020
• C-Net: Contextual Network for Sarcasm Detection, FigLang, ACL 2020
• Sarcasm Identification and Detection in Conversion Context using BERT, FigLang, ACL 2020
• Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection, FigLang, ACL 2020
• Neural Sarcasm Detection using Conversation Context, FigLang, ACL 2020
• Context-Aware Sarcasm Detection Using BERT, FigLang, ACL 2020
• Transformers on Sarcasm Detection with Context, FigLang, ACL 2020
• A Novel Hierarchical BERT Architecture for Sarcasm Detection, FigLang, ACL 2020
• Detecting Sarcasm in Conversation Context Using Transformer-Based Models, FigLang, ACL 2020
• MUStARD: Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper), ACL 2019

• Smile Intensity Detection in Multiparty Interaction using Deep Learning, ACII 2019

• Second Grand-Challenge and Workshop on Multimodal Language (Challenge-HML), ACL 2020
• The Second Workshop on Figurative Language Processing, ACL 2020
• EMOCONTEXT, Semeval 2019
• EmotionX Challenge, IJCAI 2019