Multimodal Emotion-Cause Pair Extraction in Conversations

This repository contains the dataset and code for our TAFFC 2022 paper: Multimodal Emotion-Cause Pair Extraction in Conversations Please cite our paper according to the official format.

🌟 Our task paper for SemEval-2024 is available here.

🌟 We have organized a SemEval task based on our ECF dataset and extended it with additional evaluation data. Welcome to participate in our competition. Visit SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations.

Dependencies

• Python 3.6.9 (tested on cuda 10.2 and NVIDIA RTX TITAN)
• Tensorflow 1.15.4
• BERT (The pretrained BERT model "BERT-Base, Cased" is required.)

Note

For your convenience, we also provide our requirements.txt.cuda11+ (tested on cuda 11.3 and python 3.6.13).

Usage

Step1:

# For Task 1: MECPE
python -u step1.py --use_x_a yes  --use_x_v yes --scope BiLSTM_A_V
python -u step1.py --model_type BERTcased --use_x_a yes  --use_x_v yes --scope BERT_A_V
# For Task 2: MECPE-Cat
python -u step1.py --choose_emocate yes --use_x_a yes  --use_x_v yes --scope BiLSTM_A_V_emocate
python -u step1.py --model_type BERTcased --choose_emocate yes --use_x_a yes  --use_x_v yes --scope BERT_A_V_emocate

Step2:

python -u step2.py  --use_x_a yes  --use_x_v yes   --scope  BiLSTM_A_V

Citation

@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}
}