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 101–125 of 141 papers

TitleStatusHype
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation—0
EmoCaps:Emotion Capsule based Model for Conversationl Emotion Recognition—0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition—0
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation—0
Hybrid Curriculum Learning for Emotion Recognition in Conversation—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations—0
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation—0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection—0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation—0
Emotion Dynamics Modeling via BERT—0
MONAH: Multi-Modal Narratives for Humans to analyze conversationsCode0
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition—0
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations—0
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations—0
DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation—0
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog—0
Contextualized Emotion Recognition in Conversation as Sequence Tagging—0
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment AnalysisCode0
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition—0
Hierarchical Transformer Network for Utterance-level Emotion Recognition—0
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory NetworkCode0
Conversational Transfer Learning for Emotion Recognition—0
Knowledge-Enriched Transformer for Emotion Detection in Textual ConversationsCode0
Show:102550
← PrevPage 5 of 6Next →

No leaderboard results yet.