Thanks for the great code and paper, it's very helpful and meaningful. Where you mentioned "You can run this code through to train baseline model:python main.py --gpu 0 --lr 0.0001 --model_name m3fend --dataset ch1
You can run this code to get the baseline model that joins adversarial learning :python mainad.py --gpu 0 --lr 0.0001 --model_name textcnn-u --dataset ch1 ", if it's convenient, could you provide the main.py and mainad.py code files in it?
Thanks for the great code and paper, it's very helpful and meaningful. Where you mentioned "You can run this code through to train baseline model:python main.py --gpu 0 --lr 0.0001 --model_name m3fend --dataset ch1
You can run this code to get the baseline model that joins adversarial learning :python mainad.py --gpu 0 --lr 0.0001 --model_name textcnn-u --dataset ch1 ", if it's convenient, could you provide the main.py and mainad.py code files in it?