[{"title":"( 16 个子文件 13.18MB ) NER的弱监督:使用弱监督学习没有标签数据的命名实体识别模型的框架-源码","children":[{"title":"weak-supervision-for-NER-master","children":[{"title":"README.md <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"Weak supervision.ipynb <span style='color:#111;'> 313.15KB </span>","children":null,"spread":false},{"title":"annotations.py <span style='color:#111;'> 74.67KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 5.21KB </span>","children":null,"spread":false},{"title":"ner.py <span style='color:#111;'> 21.46KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"geonames.json <span style='color:#111;'> 268.51KB </span>","children":null,"spread":false},{"title":"crunchbase.json <span style='color:#111;'> 30.86MB </span>","children":null,"spread":false},{"title":"hmm.png <span style='color:#111;'> 79.00KB </span>","children":null,"spread":false},{"title":"first_names.json <span style='color:#111;'> 71.96KB </span>","children":null,"spread":false},{"title":"products.json <span style='color:#111;'> 832.48KB </span>","children":null,"spread":false},{"title":"form_frequencies.json <span style='color:#111;'> 12.37MB </span>","children":null,"spread":false}],"spread":true},{"title":"spacy_wrapper.py <span style='color:#111;'> 18.01KB </span>","children":null,"spread":false},{"title":"analysis.py <span style='color:#111;'> 14.95KB </span>","children":null,"spread":false},{"title":"labelling.py <span style='color:#111;'> 28.73KB </span>","children":null,"spread":false},{"title":"mixtures","children":[{"title":"MixtureModelsNER.R <span style='color:#111;'> 33.61KB </span>","children":null,"spread":false},{"title":"param.csv <span style='color:#111;'> 110B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]