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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 76–100 of 141 papers

TitleStatusHype
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
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