SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 141 papers

TitleStatusHype
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression RecognitionCode1
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in ConversationCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological KnowledgeCode1
EmoCaps:Emotion Capsule based Model for Conversationl Emotion Recognition—0
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations—0
Emotion Dynamics Modeling via BERT—0
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations—0
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations—0
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation—0
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations—0
Emotion Recognition in Conversation using Probabilistic Soft Logic—0
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation—0
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning—0
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation—0
BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy—0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation—0
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation—0
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation—0
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation—0
Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation—0
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum—0
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition—0
MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting—0
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog—0
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations—0
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation—0
Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations—0
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation—0
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection—0
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause—0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion—0
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition—0
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
MMDAG: Multimodal Directed Acyclic Graph Network for Emotion Recognition in Conversation—0
Contextualized Emotion Recognition in Conversation as Sequence Tagging—0
Neural Feature Extraction for Contextual Emotion Detection—0
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition—0
Recurrent Neural Network for Text Classification with Multi-Task Learning—0
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog—0
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations—0
Hierarchical Transformer Network for Utterance-level Emotion Recognition—0
DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis—0
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.