--- 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} } ```