---
license: gpl-3.0
language:
- en
tags:
- emotion-cause-analysis
---

# Emotion-Cause-in-Friends (ECF)

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.

For more details, please refer to our GitHub: 

- [Multimodal Emotion-Cause Pair Extraction in Conversations](https://github.com/NUSTM/MECPE)
- [SemEval-2024 Task 3](https://github.com/NUSTM/SemEval-2024_ECAC)

## Dataset Statistics

| Item                            | Train | Dev   | Test  | Total  |
| ------------------------------- | ----- | ----- | ----- | ------ |
| Conversations                   | 1001  | 112   | 261   | 1,374  |
| Utterances                      | 9,966 | 1,087 | 2,566 | 13,619 |
| Emotion (utterances)            | 5,577 | 668   | 1,445 | 7,690  |
| Emotion-cause (utterance) pairs | 7,055 | 866   | 1,873 | 9,794  |

## Citation

If you find ECF useful for your research, please cite our paper using the following BibTeX entries:

```
@ARTICLE{wang2023multimodal,
  author={Wang, Fanfan and Ding, Zixiang and Xia, Rui and Li, Zhaoyu and Yu, Jianfei},
  journal={IEEE Transactions on Affective Computing}, 
  title={Multimodal Emotion-Cause Pair Extraction in Conversations}, 
  year={2023},
  volume={14},
  number={3},
  pages={1832-1844},
  doi = {10.1109/TAFFC.2022.3226559}
}

@InProceedings{wang2024SemEval,
  author={Wang, Fanfan  and  Ma, Heqing  and  Xia, Rui  and  Yu, Jianfei  and  Cambria, Erik},
  title={SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations},
  booktitle={Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)},
  month={June},
  year={2024},
  address={Mexico City, Mexico},
  publisher={Association for Computational Linguistics},
  pages={2022--2033},
  url = {https://aclanthology.org/2024.semeval2024-1.273}
}
```