Named Entity Recognition On Conll

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	F1
deep-contextualized-word-representations	93.42
subregweigh-effective-and-efficient	95.27
crossweigh-training-named-entity-tagger-from	94.13
learning-from-noisy-labels-for-entity-centric	95.60
neural-architectures-for-named-entity	91.47
learning-from-noisy-labels-for-entity-centric	94.04
subregweigh-effective-and-efficient	95.45
crossweigh-training-named-entity-tagger-from	94.28
improving-named-entity-recognition-by	94.81
luke-deep-contextualized-entity	95.89
end-to-end-sequence-labeling-via-bi	91.87