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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
Hybrid Curriculum Learning for Emotion Recognition in Conversation—0
DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
Modeling both context- and speaker-sensitive dependence for emotion detection in multi-speaker conversations—0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation—0
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation—0
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation—0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations—0
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation—0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition—0
SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational ClassificationCode0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERTCode0
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment AnalysisCode0
ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion DetectorCode0
Context-Dependent Embedding Utterance Representations for Emotion Recognition in ConversationsCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue VideosCode0
Deep Emotion Recognition in Textual Conversations: A SurveyCode0
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in ConversationCode0
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationCode0
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent AdvancesCode0
Conversational Transfer Learning for Emotion RecognitionCode0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
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