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{ | ||
"python.pythonPath": "C:\\Python38\\python.exe" | ||
} |
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# SubjectiveBiasABS | ||
code for the arxiv paper "Subjective Bias in Abstractive Summarization" | ||
- code for the arxiv paper "Subjective Bias in Abstractive Summarization" | ||
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# introduction | ||
- params.py:hyperparameters | ||
- get_datasets.py:get the topk oracle sentences in article then parse | ||
- process_dataset:turn parsed file into the format of DGL graph triplet | ||
- model.py:the self-supervised GCN model for extractive subjective style embedding | ||
- train.py:train, concat small graphs into a batch | ||
- infer.py: infer the whole training set to get subjective style embedding | ||
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# detail | ||
- negative samples of oracle sentences are uniform-sampled by the jaccard sim |
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