Semantic-Retention Attack for Continual Named Entity Recognition

This repository contains all of our source code. We sincerely thank the help of Zheng et al.'s repository.

Overview of the directory

• bert-base-cased/: the directory of configurations and PyTorch pretrained model for bert-base-cased
• config/ : the directory of configurations for our CPFD method
• datasets/ : the directory of datasets
• src/ : the directory of the source code
• main_CL.py : the file to be executed

.
├── bert-base-cased
├── config
│   ├── conll2003
│   ├── ontonotes5
│   ├── i2b2
├── datasets
│   └── NER_data
│       ├── conll2003
│       ├── i2b2
│       └── ontonotes5
├── main_CL.py
└── src
    ├── config.py
    ├── dataloader.py
    ├── model.py
    ├── Noise_G.py
    ├── trainer.py
    ├── utils_plot.py
    └── utils.py

Step 1: Environment settings

python             3.7.13
torch              1.12.1+cu116
transformers       4.14.1

Download bert-base-cased to the directory of bert-base-cased/

Step 2: Run main_CL

python3 -u main_CL.py --exp_name i2b2_8-2_SRA --exp_id 1 --cfg config/i2b2/fg_8_pg_2/SRA.yaml