BERT-LS:使用预编码器进行词汇简化
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2021-05-23
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BERT-LS-master.zip （98个子文件） 
BERT-LS-master pytorch_pretrained_bert 
file_utils.py 9KB tokenization_transfo_xl.py 22KB tokenization_openai.py 14KB convert_openai_checkpoint_to_pytorch.py 3KB tokenization_transfo_xl.pyc 22KB modeling_openai.py 45KB tokenization.py 18KB __init__.pyc 2KB modeling.pyc 72KB convert_transfo_xl_checkpoint_to_pytorch.py 6KB modeling_embedding_drouput.py 79KB modeling.py 76KB convert_tf_checkpoint_to_pytorch.py 3KB readme 1B tokenization.pyc 16KB __init__.py 2KB optimization_openai.py 5KB tokenization_gpt2.py 14KB optimization.py 13KB convert_gpt2_checkpoint_to_pytorch.py 3KB optimization.pyc 13KB modeling_gpt2.py 45KB __main__.py 4KB modeling_openai.pyc 43KB modeling_transfo_xl.py 59KB modeling_transfo_xl_utilities.py 16KB modeling_transfo_xl.pyc 51KB optimization_openai.pyc 5KB file_utils.pyc 10KB __pycache__ modeling_transfo_xl.cpython-36.pyc 41KB tokenization_gpt2.cpython-35.pyc 12KB file_utils.cpython-36.pyc 7KB __init__.cpython-35.pyc 2KB modeling.cpython-35.pyc 65KB tokenization_gpt2.cpython-36.pyc 11KB optimization.cpython-35.pyc 11KB tokenization.cpython-35.pyc 14KB optimization_openai.cpython-35.pyc 4KB tokenization_transfo_xl.cpython-35.pyc 19KB modeling_openai.cpython-36.pyc 37KB optimization_openai.cpython-36.pyc 4KB modeling_transfo_xl.cpython-35.pyc 45KB modeling_embedding_drouput.cpython-35.pyc 66KB tokenization_transfo_xl.cpython-36.pyc 17KB modeling_transfo_xl_utilities.cpython-35.pyc 10KB modeling.cpython-36.pyc 62KB optimization.cpython-36.pyc 11KB modeling_embedding_drouput.cpython-36.pyc 63KB modeling_openai.cpython-35.pyc 39KB modeling_gpt2.cpython-36.pyc 36KB modeling_gpt2.cpython-35.pyc 38KB file_utils.cpython-35.pyc 8KB tokenization_openai.cpython-35.pyc 12KB __init__.cpython-36.pyc 2KB tokenization_openai.cpython-36.pyc 11KB modeling_transfo_xl_utilities.cpython-36.pyc 9KB tokenization.cpython-36.pyc 13KB modeling_gpt2.pyc 43KB tokenization_gpt2.pyc 14KB tokenization_openai.pyc 13KB modeling_transfo_xl_utilities.pyc 11KB run_LSBert2.sh 669B LSBert2.py 28KB run_LSBert1.sh 575B complex_word.py 2KB evaluator.py 4KB
recursive_simplification.txt 682B hubconf.py 723B helper_functions.py 3KB verb verb.txt 541KB __init__.py 7KB __pycache__ __init__.cpython-36.pyc 5KB experiment.py 10KB datasets readme 1B NNSeval.txt 58KB BenchLS.txt 219KB lex.mturk.txt 261KB simplification.py 7KB frequency_merge_wiki_child.txt 5.29MB PPDB word_dictionary.py 457B __init__.py 120B __pycache__ ppdb.cpython-36.pyc 3KB part_of_speech.cpython-36.pyc 1KB word_dictionary.cpython-36.pyc 967B __init__.cpython-36.pyc 268B part_of_speech.py 1KB ppdb.py 3KB LSBert1.py 28KB README.md 5KB
SUBTLEX_frequency.xlsx 10.26MB recursive_LSBert2.py 26KB plural.py 13KB labeler.py 25KB
BERT_LS.png 119KB run_LSBert2_TS.sh 663B Example1.png 93KB read_xls.py 347B conlleval.py 9KB资源评论
