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Emotion Recognition in Conversation

Given the transcript of a conversation along with speaker information of each constituent utterance, the ERC task aims to identify the emotion of each utterance from several pre-defined emotions. Formally, given the input sequence of N number of utterances [(u1, p1), (u2, p2), . . . , (uN , pN )], where each utterance ui = [ui,1, ui,2, . . . , ui,T ] consists of T words ui,j and spoken by party pi, the task is to predict the emotion label ei of each utterance ui. .

Papers

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Showing 1–50 of 141 papers

TitleStatusHype
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsCode3
Structure-Aware Transformer for Graph Representation LearningCode2
Recent Trends of Multimodal Affective Computing: A Survey from NLP PerspectiveCode2
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion RecognitionCode2
COSMIC: COmmonSense knowledge for eMotion Identification in ConversationsCode2
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AICode2
Bag of Tricks for Efficient Text ClassificationCode1
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological KnowledgeCode1
Supervised Adversarial Contrastive Learning for Emotion Recognition in ConversationsCode1
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash EquilibriumCode1
GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion DetectionCode1
Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in ConversationsCode1
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionCode1
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression RecognitionCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
Exploiting Unsupervised Data for Emotion Recognition in ConversationsCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationCode1
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
Graph Based Network with Contextualized Representations of Turns in DialogueCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
Contextual Information and Commonsense Based Prompt for Emotion Recognition in ConversationCode1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Convolutional Neural Networks for Sentence ClassificationCode1
EmotionFlow: Capture the Dialogue Level Emotion TransitionsCode1
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion RecognitionCode1
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion RecognitionCode1
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion RecognitionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation ExtractionCode1
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationCode1
DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsCode1
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Distribution-based Emotion Recognition in ConversationCode1
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in ConversationCode1
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