Neural Architechures for Chinese Named Entity Recognition Architechures word embedding glove Bi-LSTM Layers CRF Tagging Models Hper-parameters Settings embedding size : 300 hidden size : 200 dropout : 0.5 Result Model Variant F1 BiLSTM+CRF pretrain+dropout 87.3
