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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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