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Found 4 papers, 2 papers with code
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
Moreover, we quantify the effect of context on emotion cause extraction and provide the visualization of the interactions between candidate cause clauses and contexts.
Ranked #3 on
Emotion Cause Extraction
on ECE
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
In this paper, we propose a Unified Multimodal Emotion recognition and Emotion-Cause analysis framework (UniMEEC) to explore the causality and complementarity between emotion and emotion cause.
Emotion-Cause Pair Extraction
Emotion Recognition in Conversation
+1
Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) task aims to extract all the pairs of emotions and their causes from an unannotated emotion text.
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors.
Ranked #1 on
Multimodal Sentiment Analysis
on CMU-MOSI
