├── README.md ├── dataset ├── EC │ ├── dev.json │ ├── test.json │ └── train.json └── MSRA │ ├── dev.json │ ├── test.json │ └── train.json ├── main.py ├── misc.py ├── model.py ├── requirements.txt ├── resource ├── bert-base-chinese │ └── vocab.txt └── conlleval.pl ├── save └── readme.md ├── train_EC.sh ├── train_NEWS.sh └── utils.py /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/README.md -------------------------------------------------------------------------------- /dataset/EC/dev.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/EC/dev.json -------------------------------------------------------------------------------- /dataset/EC/test.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/EC/test.json -------------------------------------------------------------------------------- /dataset/EC/train.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/EC/train.json -------------------------------------------------------------------------------- /dataset/MSRA/dev.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/MSRA/dev.json -------------------------------------------------------------------------------- /dataset/MSRA/test.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/MSRA/test.json -------------------------------------------------------------------------------- /dataset/MSRA/train.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/dataset/MSRA/train.json -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/main.py -------------------------------------------------------------------------------- /misc.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/misc.py -------------------------------------------------------------------------------- /model.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/model.py -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/requirements.txt -------------------------------------------------------------------------------- /resource/bert-base-chinese/vocab.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/resource/bert-base-chinese/vocab.txt -------------------------------------------------------------------------------- /resource/conlleval.pl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/resource/conlleval.pl -------------------------------------------------------------------------------- /save/readme.md: -------------------------------------------------------------------------------- 1 | you will get trained models here. 2 | -------------------------------------------------------------------------------- /train_EC.sh: -------------------------------------------------------------------------------- 1 | CUDA_VISIBLE_DEVICES=0 python main.py -dd dataset/EC -cd save -rd resource -------------------------------------------------------------------------------- /train_NEWS.sh: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/train_NEWS.sh -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pkunlp-icler/SCL-RAI/HEAD/utils.py --------------------------------------------------------------------------------