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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 101–141 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
Speaker-Guided Encoder-Decoder Framework 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
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning—0
Emotion Recognition in Conversation using Probabilistic Soft Logic—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
Emotion Dynamics Modeling via BERT—0
EmoCaps:Emotion Capsule based Model for Conversationl Emotion Recognition—0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog—0
Hierarchical Transformer Network for Utterance-level Emotion Recognition—0
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations—0
Hybrid Curriculum Learning for Emotion Recognition in Conversation—0
Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation—0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations—0
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