FactExsum-coling2020:BERT上具有分层图形掩码的事实级提取摘要代码（coling 2020）
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2021-03-20
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FactExsum-coling2020-main.zip （47个子文件） 
FactExsum-coling2020-main 
BERT.py 10KB run.py 18KB data raw_data_loader.py 4KB DMCNN train_000.bin 3.8MB train_001.bin 3.91MB train_002.bin 3.94MB model BERT.py 10KB data_file DMCNN val_file 0_val_batch_of 4 examples.pkl 365KB 1_val_batch_of 4 examples.pkl 22KB 3_val_batch_of 4 examples.pkl 36KB 4_val_batch_of 4 examples.pkl 39KB 2_val_batch_of 4 examples.pkl 28KB 6_val_batch_of 4 examples.pkl 48KB 7_val_batch_of 4 examples.pkl 49KB 5_val_batch_of 4 examples.pkl 42KB test_file 4_test_batch_of 4 examples.pkl 45KB 7_test_batch_of 4 examples.pkl 65KB 8_test_batch_of 4 examples.pkl 78KB 1_test_batch_of 4 examples.pkl 33KB 2_test_batch_of 4 examples.pkl 38KB 3_test_batch_of 4 examples.pkl 41KB 0_test_batch_of 4 examples.pkl 27KB 5_test_batch_of 4 examples.pkl 53KB 9_test_batch_of 4 examples.pkl 96KB 6_test_batch_of 4 examples.pkl 65KB train_file 1_train_batch_of 4 examples.pkl 21KB 2_train_batch_of 4 examples.pkl 23KB 5_train_batch_of 4 examples.pkl 30KB 3_train_batch_of 4 examples.pkl 27KB 9_train_batch_of 4 examples.pkl 22KB 7_train_batch_of 4 examples.pkl 13KB 8_train_batch_of 4 examples.pkl 33KB 4_train_batch_of 4 examples.pkl 28KB 6_train_batch_of 4 examples.pkl 33KB 0_train_batch_of 4 examples.pkl 16KB save_model 
pad.txt 5B utility pyrougex.py 25KB utility.py 6KB README.md 4KB data_loader.py 14KB result our s+f_cand.txt 4.2MB our s+f 6_cand.txt 6.05MB our s+f_gold.txt 3.47MB our s+f 6_gold.txt 3.54MB call_rouge.py 4KB utility.py 6KB make_data.py 18KB资源评论
