{"total":34,"rows":[{"id":"2211.11256","title":"UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition","created":"2022-11-21","cited_by_count":61,"area":null},{"id":"2304.09582","title":"Is ChatGPT Equipped with Emotional Dialogue Capabilities?","created":"2023-04-19","cited_by_count":54,"area":null},{"id":"2404.17862","title":"Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum","created":"2024-04-27","cited_by_count":33,"area":null},{"id":"2210.08713","title":"Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation","created":"2022-10-17","cited_by_count":31,"area":null},{"id":"2403.01222","title":"Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions","created":"2024-03-02","cited_by_count":27,"area":null},{"id":"2312.10579","title":"DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition","created":"2023-12-17","cited_by_count":23,"area":null},{"id":"2407.00119","title":"Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations","created":"2024-06-27","cited_by_count":23,"area":null},{"id":"2306.01505","title":"Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations","created":"2023-06-02","cited_by_count":19,"area":null},{"id":"2309.01339","title":"UniSA: Unified Generative Framework for Sentiment Analysis","created":"2023-09-04","cited_by_count":17,"area":null},{"id":"2308.11578","title":"Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models","created":"2023-08-21","cited_by_count":16,"area":null},{"id":"2308.04502","title":"Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition","created":"2023-08-08","cited_by_count":13,"area":null},{"id":"2401.12987","title":"TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation","created":"2024-01-16","cited_by_count":12,"area":null},{"id":"2407.04279","title":"BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks","created":"2024-07-05","cited_by_count":11,"area":null},{"id":"2403.16504","title":"LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification","created":"2024-03-25","cited_by_count":10,"area":null},{"id":"2301.06745","title":"BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation","created":"2023-01-17","cited_by_count":9,"area":null},{"id":"2404.00403","title":"UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause","created":"2024-03-30","cited_by_count":8,"area":null},{"id":"2305.14071","title":"Disentangled Variational Autoencoder for Emotion Recognition in Conversations","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2307.11584","title":"A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion","created":"2023-07-21","cited_by_count":5,"area":null},{"id":"2206.07359","title":"The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation","created":"2022-06-15","cited_by_count":4,"area":null},{"id":"2211.15377","title":"Whose Emotion Matters? Speaking Activity Localisation without Prior Knowledge","created":"2022-11-23","cited_by_count":3,"area":null},{"id":"2403.20289","title":"Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation","created":"2024-03-29","cited_by_count":3,"area":null},{"id":"2310.06536","title":"EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2310.13080","title":"From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues","created":"2023-10-19","cited_by_count":2,"area":null},{"id":"2405.03960","title":"ESIHGNN: Event-State Interactions Infused Heterogeneous Graph Neural Network for Conversational Emotion Recognition","created":"2024-05-07","cited_by_count":2,"area":null},{"id":"2508.05474","title":"Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2607.20445","title":"SCoPE: Shift-Aware Speaker-Conditioned Priors for Emotion Recognition in Conversations","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2305.12369","title":"HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer","created":"2023-05-21","cited_by_count":1,"area":null},{"id":"2203.16799","title":"M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations","created":"2022-03-31","cited_by_count":0,"area":null},{"id":"2310.16676","title":"SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations","created":"2023-10-25","cited_by_count":0,"area":null},{"id":"2410.19128","title":"Retrieving Implicit and Explicit Emotional Events Using Large Language Models","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2508.01644","title":"DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition","created":"2025-08-03","cited_by_count":0,"area":null},{"id":"2603.22345","title":"Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2603.25752","title":"Relational graph-driven differential denoising and diffusion attention fusion for multimodal conversation emotion recognition","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2605.18547","title":"VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}