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license: gpl-3.0
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---
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license: gpl-3.0
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language:
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- en
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tags:
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- emotion-cause-analysis
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---
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# Emotion-Cause-in-Friends (ECF)
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For the task named Multimodal Emotion-Cause Pair Extraction in Conversation, we accordingly construct a multimodal conversational emotion cause dataset ECF, which contains 9,794 multimodal emotion-cause pairs among 13,619 utterances in the *Friends* sitcom.
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For more details, please refer to our GitHub:
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- [Multimodal Emotion-Cause Pair Extraction in Conversations](https://github.com/NUSTM/MECPE)
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- [SemEval-2024 Task 3](https://github.com/NUSTM/SemEval-2024_ECAC)
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## Dataset Statistics
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| Item | Train | Dev | Test | Total |
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| ------------------------------- | ----- | ----- | ----- | ------ |
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| Conversations | 1001 | 112 | 261 | 1,374 |
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| Utterances | 9,966 | 1,087 | 2,566 | 13,619 |
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| Emotion (utterances) | 5,577 | 668 | 1,445 | 7,690 |
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| Emotion-cause (utterance) pairs | 7,055 | 866 | 1,873 | 9,794 |
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## Citation
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If you find ECF useful for your research, please cite our paper using the following BibTeX entries:
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```
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@ARTICLE{wang2023multimodal,
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author={Wang, Fanfan and Ding, Zixiang and Xia, Rui and Li, Zhaoyu and Yu, Jianfei},
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journal={IEEE Transactions on Affective Computing},
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title={Multimodal Emotion-Cause Pair Extraction in Conversations},
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year={2023},
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volume={14},
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number={3},
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pages={1832-1844},
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doi = {10.1109/TAFFC.2022.3226559}
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}
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@InProceedings{wang2024SemEval,
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author={Wang, Fanfan and Ma, Heqing and Xia, Rui and Yu, Jianfei and Cambria, Erik},
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title={SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations},
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booktitle={Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)},
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month={June},
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year={2024},
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address={Mexico City, Mexico},
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publisher={Association for Computational Linguistics},
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pages={2022--2033},
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url = {https://aclanthology.org/2024.semeval2024-1.273}
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}
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```
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