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

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Showing 1–10 of 12 papers

TitleStatusHype
ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning ChainsCode1
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in ConversationsCode0
Towards Interpretable Mental Health Analysis with Large Language ModelsCode2
PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in ConversationCode1
Window transformer for dialogue document: a joint framework for causal emotion entailment—0
Knowledge-Bridged Causal Interaction Network for Causal Emotion EntailmentCode1
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in ConversationsCode0
Discourse-Aware Emotion Cause Extraction in Conversations—0
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense KnowledgeCode1
TSAM: A Two-Stream Attention Model for Causal Emotion EntailmentCode1
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