TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags

1. Environments

- python (3.8)
- cuda (11.4)
- torch (1.8.1)
- pip install -r requirements.txt

2. Dataset

• CADEC
• ShARe13
• ShARe14

3. Pre-training

Download the pre-training model at the following link:

• BioBERT: https://huggingface.co/dmis-lab/biobert-base-cased-v1.2/tree/main
• ClinicalBERT: https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT/tree/main

4. Preparation

• Get dataset
• Process them to fit the same format as the example in data/
• Put the processed data into the directory data/

5. Training

python main.py --config ./config/cadec.json