├── 2022.coling A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.pdf ├── Codes ├── 2022.coling A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.pdf ├── README.md ├── dataset │ └── oracles │ │ └── embeddings.npy ├── eval_exp_fc5.py ├── helpers │ ├── json_util.py │ ├── logger.py │ ├── path_util.py │ ├── reader5.py │ ├── simple_logger.py │ ├── torch_util.py │ └── utils.py ├── model │ ├── __pycache__ │ │ └── model_exp_fc5.cpython-36.pyc │ └── model_exp_fc5.py └── train_exp_fc5_LIAR_RAW2.py ├── Datasets ├── LIAR-RAW │ └── README.MD ├── RAWFC │ └── README.MD └── README.md ├── LICENSE.md ├── README.md └── logo.png /2022.coling A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Nicozwy/CofCED/HEAD/2022.coling A Coarse-to-fine 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