mlsanityData to 7 Oct 2026

EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa

arXiv 2108.12009 ↗First posted 26 Aug 2021cs.CLcited by 59

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Abstract (arXiv)

We present EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa, a simple yet expressive scheme of solving the ERC (emotion recognition in conversation) task. By simply prepending speaker names to utterances and inserting separation tokens between the utterances in a dialogue, EmoBERTa can learn intra- and inter- speaker states and context to predict the emotion of a current speaker, in an end-to-end manner. Our experiments show that we reach a new state of the art on the two popular ERC datasets using a basic and straight-forward approach. We've open sourced our code and models at https://github.com/tae898/erc.

Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). Builds on 18 of its 31 references that are in the map. First posted on arXiv 26 Aug 2021.

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18 of 31 references.

References · 18

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  5. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  6. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
  7. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
  8. 2019Optuna: A Next-generation Hyperparameter Optimization Frameworkcited by 2,455
  9. 2017Accurate, Large Minibatch SGD: Training ImageNet in 1 Hourcited by 1,479
  10. 2017Mixed Precision Trainingcited by 1,135
  11. 2018MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversationscited by 636
  12. 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversationcited by 184
6 more
  1. 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversationscited by 135
  2. 2019Knowledge-Enriched Transformer for Emotion Detection in Textual Conversationscited by 92
  3. 2020DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognitioncited by 78
  4. 2019Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Networkcited by 38
  5. 2020BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysiscited by 28
  6. 2020Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognitioncited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 8; 2023: 15; 2024: 15; 2025: 8; 2026: 13.

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  1. 2024EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesiscited by 79
  2. 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversationcited by 47
  3. 2023Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversationscited by 47
  4. 2024Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusioncited by 33
  5. 2024Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrumcited by 33
  6. 2022Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversationcited by 31
  7. 2022COGMEN: COntextualized GNN based Multimodal Emotion recognitioNcited by 29
  8. 2023FT2TF: First-Person Statement Text-To-Talking Face Generationcited by 26
  9. 2022CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AIcited by 25
  10. 2023DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognitioncited by 23
  11. 2024Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversationscited by 23
  12. 2022FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversationcited by 18
38 more
  1. 2023It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformerscited by 18
  2. 2023UniSA: Unified Generative Framework for Sentiment Analysiscited by 17
  3. 2023Cluster-Level Contrastive Learning for Emotion Recognition in Conversationscited by 14
  4. 2024TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversationcited by 12
  5. 2024SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversationscited by 11
  6. 2024BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Taskscited by 11
  7. 2022Bias and Fairness on Multimodal Emotion Detection Algorithmscited by 10
  8. 2023BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversationcited by 9
  9. 2022Interpretability for Multimodal Emotion Recognition using Concept Activation Vectorscited by 8
  10. 2022Learning Speech Emotion Representations in the Quaternion Domaincited by 7
  11. 2024Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversationcited by 7
  12. 2023CAB: Empathetic Dialogue Generation with Cognition, Affection and Behaviorcited by 6
  13. 2025Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialoguescited by 6
  14. 2025Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humanscited by 6
  15. 2023Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognitioncited by 5
  16. 2025PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generationcited by 5
  17. 2025EDTalk++: Full Disentanglement for Controllable Talking Head Synthesiscited by 5
  18. 2023Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindicited by 4
  19. 2023From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialoguecited by 3
  20. 2023Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotioncited by 3
  21. 2024Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversationscited by 3
  22. 2024Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversationcited by 3
  23. 2026VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentationcited by 3
  24. 2024Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversationscited by 2
  25. 2024EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detectioncited by 2
  26. 2026Dual-branch Graph Domain Adaptation for Cross-scenario Multi-modal Emotion Recognitioncited by 2
  27. 2026SCoPE: Shift-Aware Speaker-Conditioned Priors for Emotion Recognition in Conversationscited by 2
  28. 2023SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversationcited by 1
  29. 2023LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networkscited by 1
  30. 2023SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversationscited by 0
  31. 2024MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Promptingcited by 0
  32. 2024ContextIQ: A Multimodal Expert-Based Video Retrieval System for Contextual Advertisingcited by 0
  33. 2024CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversationcited by 0
  34. 2025TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversationcited by 0
  35. 2025AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysiscited by 0
  36. 2025DyFuLM: An Advanced Multimodal Framework for Sentiment Analysiscited by 0
  37. 2025Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysiscited by 0
  38. 2026Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysiscited by 0

50 most cited of 59 All 59 (JSON)