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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 51–100 of 141 papers

TitleStatusHype
DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsCode1
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash EquilibriumCode1
Bag of Tricks for Efficient Text ClassificationCode1
Convolutional Neural Networks for Sentence ClassificationCode1
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in ConversationCode0
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in ConversationCode0
BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations—0
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation—0
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation—0
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation—0
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations—0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation—0
MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting—0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations—0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning—0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion—0
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause—0
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation—0
SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)Code0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation—0
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement—0
Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations—0
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion RecognitionCode0
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy—0
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition—0
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion RecognitionCode0
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog—0
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and ParaphrasingCode0
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal AlignmentCode0
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
Context-Dependent Embedding Utterance Representations for Emotion Recognition in ConversationsCode0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationCode0
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation—0
Deep Emotion Recognition in Textual Conversations: A SurveyCode0
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations—0
DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis—0
Emotion Recognition in Conversation using Probabilistic Soft Logic—0
Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation—0
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation—0
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation—0
MMDAG: Multimodal Directed Acyclic Graph Network for Emotion Recognition in Conversation—0
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