[{"title":"( 23 个子文件 2.09MB ) 使用Google的BERT进行命名实体识别(CoNLL-2003作为数据集)。-Python开发","children":[{"title":"BERT-NER-master","children":[{"title":"function_test.py <span style='color:#111;'> 778B </span>","children":null,"spread":false},{"title":"bert","children":null,"spread":false},{"title":"output","children":[{"title":"result_dir","children":[{"title":"label_test.txt <span style='color:#111;'> 401.68KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"data","children":[{"title":"dev.txt <span style='color:#111;'> 803.41KB </span>","children":null,"spread":false},{"title":"test.txt <span style='color:#111;'> 725.60KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 3.11MB </span>","children":null,"spread":false}],"spread":true},{"title":"run_ner.sh <span style='color:#111;'> 609B </span>","children":null,"spread":false},{"title":"old_version","children":[{"title":"NERdata","children":[{"title":"dev.txt <span style='color:#111;'> 808.05KB </span>","children":null,"spread":false},{"title":"test.txt <span style='color:#111;'> 730.56KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 3.13MB </span>","children":null,"spread":false}],"spread":true},{"title":"tf_metrics.py <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"picture1.png <span style='color:#111;'> 11.65KB </span>","children":null,"spread":false},{"title":"picture2.png <span style='color:#111;'> 12.52KB </span>","children":null,"spread":false},{"title":"picturen.png <span style='color:#111;'> 16.41KB </span>","children":null,"spread":false},{"title":"BERT_NER.py <span style='color:#111;'> 23.62KB </span>","children":null,"spread":false},{"title":"conlleval.pl <span style='color:#111;'> 12.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false},{"title":"middle_data","children":[{"title":"label2id.pkl <span style='color:#111;'> 184B </span>","children":null,"spread":false}],"spread":true},{"title":"cased_L-12_H-768_A-12","children":[{"title":"download_from_bert_first.txt <span style='color:#111;'> 208.45KB </span>","children":null,"spread":false}],"spread":true},{"title":"BERT_NER.py <span style='color:#111;'> 27.31KB </span>","children":null,"spread":false},{"title":"conlleval.pl <span style='color:#111;'> 12.83KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]