ROPEE

1. Environments

- python (3.7.16)
- cuda (11.4)

2. Dependencies

- torch (1.7.0)
- transformers (4.9.1)

3. Dataset

• FewFC: Chinese Financial Event Extraction dataset. The original dataset can be accessed at this repo. Here we follow the settings of CasEE. Note that the data is avaliable at /dataset/FewFC/data, and we adjust data format for simplicity of data loader. To run the code on other dataset, you could also adjust the data as the data format presented.

4. Run

1. Download bert-base-chinese to file bert-base-chinese.

2. Train/Dev/Test the model: Run as follows to train/dev/test the model:

CUDA_VISIBLE_DEVICES=0 python -u main.py --output_model_path ./models_save/model.bin --do_train True --do_eval True --do_test True > logs/model.log

The hyper-parameters are recorded in /utils/params.py.