**MLGN:A Multi-Label Guided Network for Improving Text Classification **
This code is prepared for MLGN.
Running steps:
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The Eurlex4K and AAPD datasets are already in the data, decompress the dataset （data/EURLex-4k/..）.
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Install the environment according to requirements.txt
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Download bert_base_uncased from hugging face and place it in the folder(model/bert-base-uncased/..)
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A single GPU can run 'main_MLGN.py'.