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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 101–125 of 141 papers

TitleStatusHype
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation—0
DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis—0
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation—0
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition—0
Contextualized Emotion Recognition in Conversation as Sequence Tagging—0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation—0
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations—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
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation—0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation—0
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations—0
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection—0
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation—0
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause—0
Recurrent Neural Network for Text Classification with Multi-Task Learning—0
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation—0
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition—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
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog—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
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation—0
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