Emotion-Cause Pair Extraction
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Benchmarks
ECPE-FanSplit
Most implemented
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
End-to-end Emotion-Cause Pair Extraction via Learning to Link
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
Papers
Generation or Judgement? A Paradigm Perspective on LLM-Based Emotion-Cause Pair Extraction in Conversation
Emotion-cause pair extraction in conversation (ECPEC) identifies utterance pairs in which one utterance causes an emotion expressed in another. Recent LLM-based approaches formulate ECPEC at markedly different granularit…
Emotion-Cause Pair ExtractionLearning Robust Pair Confidence for Multimodal Emotion-Cause Pair Extraction
Multimodal emotion-cause pair extraction (MECPE) requires reliable pair confidence over candidate pairs. Existing pair scorers commonly use pair-level cross entropy over valid candidates, which treats links mostly indepe…
Emotion-Cause Pair ExtractionTowards Accurate Emotion-Attributed Video Captioning via Fine-grained Emotion-Cause Pair Extraction
Emotional Video Captioning (EVC) is a challenging task that aims to generate factually accurate and emotionally rich descriptions for videos. Existing EVC methods leverage holistic visual features to mine global emotiona…
Emotion-Cause Pair ExtractionVideo CaptioningThey Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations
Emotion-Cause Pair Extraction (ECPE) was introduced to explain why an emotion occurs, but this goal is now often reduced to binary pair/non-pair prediction. This proxy is useful for direct-cause extraction, yet easy to o…
Emotion-Cause Pair ExtractionEmotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment
Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify the set of causal relations between emotion utterances and their triggering causes within a dialogue. Most existing approaches formulate ECPEC as an…
Emotion-Cause Pair ExtractionMEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction Tuning for Emotion-Cause Pair Extraction
Although large language models (LLMs) excel in text comprehension and generation, their performance on the Emotion-Cause Pair Extraction (ECPE) task, which requires reasoning ability, is often underperform smaller langua…
Emotion-Cause Pair Extraction