This project is the implementation of paper Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. (Paper Link)
the complete dataset is available here.
The processed dataset is available here.
the complete dataset is also available here.
The processed dataset is available here.
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Download the pretrained model and modified
pretrained_model_dir
. We usebert-base-uncased
as our base model to finetune. -
Download the datasets and modified
dataset_dir_dict
. -
To fine-tune the model:
python3 code/trainer.py --dataset_name=cnndm python3 code/trainer.py --dataset_name=newsroom