SOTAVerified

Causal Emotion Entailment

The Causal Emotion Entailment is a simpler version of the span extraction task. In this task, given a target utterance (U) with emotion E, the goal is to predict which particular utterances in the conversation history H(U) are responsible for the emotion E in the target utterance.

Papers

Showing 110 of 12 papers

TitleStatusHype
Towards Interpretable Mental Health Analysis with Large Language ModelsCode2
PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in ConversationCode1
Recognizing Emotion Cause in ConversationsCode1
Knowledge-Bridged Causal Interaction Network for Causal Emotion EntailmentCode1
TSAM: A Two-Stream Attention Model for Causal Emotion EntailmentCode1
ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning ChainsCode1
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense KnowledgeCode1
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in ConversationsCode0
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in ConversationsCode0
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