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EmotionLines: An Emotion Corpus of Multi-Party Conversations

arXiv 1802.08379 ↗First posted 23 Feb 2018cs.CLcited by 80

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Abstract (arXiv)

Feeling emotion is a critical characteristic to distinguish people from machines. Among all the multi-modal resources for emotion detection, textual datasets are those containing the least additional information in addition to semantics, and hence are adopted widely for testing the developed systems. However, most of the textual emotional datasets consist of emotion labels of only individual words, sentences or documents, which makes it challenging to discuss the contextual flow of emotions. In this paper, we introduce EmotionLines, the first dataset with emotions labeling on all utterances in each dialogue only based on their textual content. Dialogues in EmotionLines are collected from Friends TV scripts and private Facebook messenger dialogues. Then one of seven emotions, six Ekman's basic emotions plus the neutral emotion, is labeled on each utterance by 5 Amazon MTurkers. A total of 29,245 utterances from 2,000 dialogues are labeled in EmotionLines. We also provide several strong baselines for emotion detection models on EmotionLines in this paper.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 15; 2023: 16; 2024: 15; 2025: 8; 2026: 9.

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  1. 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversationcited by 99
  2. 2021Directed Acyclic Graph Network for Conversational Emotion Recognitioncited by 97
  3. 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversationscited by 71
  4. 2023Is ChatGPT Equipped with Emotional Dialogue Capabilities?cited by 54
  5. 2022M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Databasecited by 50
  6. 2024SocialBench: Sociality Evaluation of Role-Playing Conversational Agentscited by 48
  7. 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversationcited by 47
  8. 2025AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Modelscited by 43
  9. 2022InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuningcited by 39
  10. 2024Distilling an End-to-End Voice Assistant Without Instruction Training Datacited by 35
  11. 2021ValueNet: A New Dataset for Human Value Driven Dialogue Systemcited by 34
  12. 2023A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learningcited by 32
38 more
  1. 2023Learning Emotion Representations from Verbal and Nonverbal Communicationcited by 31
  2. 2021Multimodal Emotion-Cause Pair Extraction in Conversationscited by 30
  3. 2022A Multimodal Corpus for Emotion Recognition in Sarcasmcited by 29
  4. 2021Automatic Evaluation and Moderation of Open-domain Dialogue Systemscited by 28
  5. 2023Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Modelscited by 16
  6. 2021Automatically Select Emotion for Response via Personality-affected Emotion Transitioncited by 15
  7. 2022MSCTD: A Multimodal Sentiment Chat Translation Datasetcited by 15
  8. 2024Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Datasetcited by 15
  9. 2023Is ChatGPT a Good Multi-Party Conversation Solver?cited by 13
  10. 2025OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputscited by 13
  11. 2021Advances in Multi-turn Dialogue Comprehension: A Surveycited by 12
  12. 2022Deep Emotion Recognition in Textual Conversations: A Surveycited by 12
  13. 2025Towards Online Multi-Modal Social Interaction Understandingcited by 12
  14. 2026HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialoguecited by 12
  15. 2024SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversationscited by 11
  16. 2023Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4cited by 10
  17. 2025Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospectscited by 10
  18. 2021S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversationcited by 9
  19. 2023StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Seriescited by 9
  20. 2021Supporting Cognitive and Emotional Empathic Writing of Studentscited by 8
  21. 2021Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledgecited by 8
  22. 2026Unveiling the Cognitive Compass: Theory-of-Mind-Guided Multimodal Emotion Reasoningcited by 8
  23. 2021English-Twi Parallel Corpus for Machine Translationcited by 7
  24. 2021Empathetic Dialog Generation with Fine-Grained Intentscited by 7
  25. 2024Self-Emotion Blended Dialogue Generation in Social Simulation Agentscited by 7
  26. 2021MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversationscited by 6
  27. 2022TSAM: A Two-Stream Attention Model for Causal Emotion Entailmentcited by 6
  28. 2024DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversationcited by 6
  29. 2024Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modelingcited by 6
  30. 2025Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialoguescited by 6
  31. 2025Multi-Party Conversational Agents: A Surveycited by 6
  32. 2021Emotion Dynamics Modeling via BERTcited by 5
  33. 2022EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialoguescited by 5
  34. 2021MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Taskcited by 4
  35. 2022Building a Dialogue Corpus Annotated with Expressed and Experienced Emotionscited by 4
  36. 2023Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversationscited by 4
  37. 2025XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Modelscited by 4
  38. 2022Whose Emotion Matters? Speaking Activity Localisation without Prior Knowledgecited by 3

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