Update README.md
Browse files# Emotion-Cause-Generation-in-Friends (ECF)
For the task named Multimodal Emotion-Cause Generation in Conversation, we accordingly construct a multimodal conversational emotion cause dataset ECGF. In this dataset, the causes of emotions are **no longer limited to extractive utterance IDs or text spans**. Instead, they are represented as **abstractive summaries in natural language that describe various factors triggering the emotions**.
For more details, please refer to our GitHub:
- [Observe before Generate: Emotion-Cause aware Video Caption for Multimodal Emotion Cause Generation in Conversations](https://github.com/NUSTM/MECGC)
- [From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations](https://github.com/NUSTM/MECPG)
- [Multimodal Emotion-Cause Pair Extraction in Conversations](https://github.com/NUSTM/MECPE/tree/main/data)
## Citation
```
@inproceedings{wang2024obg,
title={Observe before Generate: Emotion-Cause aware Video Caption for Multimodal Emotion Cause Generation in Conversations},
author={Wang, Fanfan and Ma, Heqing and Shen, Xiangqing and Yu, Jianfei and Xia, Rui},
booktitle={Proceedings of the 32st ACM International Conference on Multimedia},
pages = {5820–5828},
year={2024},
doi = {10.1145/3664647.3681601}
}
@ARTICLE
{ma2024monica,
author={Ma, Heqing and Yu, Jianfei and Wang, Fanfan and Cao, Hanyu and Xia, Rui},
journal={IEEE Transactions on Affective Computing},
title={From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations},
year={2024},
volume={},
number={},
pages={1-12},
doi={10.1109/TAFFC.2024.3446646}
}
```