Emotion-Cause Pair Extraction
19 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Emotion-Cause Pair Extraction
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Xia and Ding, 2019
Most implemented papers
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
zhoucz97/ecpe-mm-r
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COLING 2022
Our framework can model complicated relations between emotions and causes while avoiding generating the pairing matrix (the leading cause of the label sparsity problem).
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) aims to extract emotion clauses and corresponding cause clauses, which have recently received growing attention.
Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
lemei/epo-ecpe
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Emotion-cause pair extraction (ECPE) task aims to extract all the pairs of emotions and their causes from an unannotated emotion text.
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
Recently, ChatGPT has drawn great attention from both the research community and the public.
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
zodiark-ch/mater-of-our-emnlp2023-paper
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noise terms into the conversation process, thereby constructing a structural causal model (SCM).
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
This paper presents our winning submission to Subtask 2 of SemEval 2024 Task 3 on multimodal emotion cause analysis in conversations.
LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task
akshettrj/semeval2024_task03
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Conversation is the most natural form of human communication, where each utterance can range over a variety of possible emotions.
