/transformer_crf

transformer crf 命名实体识别

Primary LanguagePython

transformer_crf

transformer crf 命名实体识别

transformer

match pyramid

条件随机场

Result
Network + CRF acc precision recall f1-score
Transformer 0.9231 0.7428 0.6692 0.7041
Transformer+Bi-LSTM 0.9712 0.9293 0.9353 0.9323
Bi-LSTM+Transformer 0.966 0.9129 0.9041 0.9085
Bi-LSTM 0.9684 0.9086 0.9106 0.9096
2 layer Bi-LSTM 0.9682 0.9183 0.9147 0.9165
match-pyramid Bi-LSTM 0.9382 0.8708 0.8253 0.8474
CNN + Bi-LSTM 0.9664 0.9162 0.9139 0.9139
Bi-LSTM + CNN 0.9678 0.9202 0.9147 0.9174
Transformer+Bi-GRU 0.9723 0.9352 0.9332 0.9342
Bi-GRU+Transformer 0.965 0.9032 0.9052 0.9042
Bi-GRU 0.9682 0.933 0.9159 0.9244
CNN + Bi-GRU 0.9681 0.9254 0.9217 0.9235
Bi-GRU + CNN 0.9687 0.9166 0.9157 0.9161
Transformer+Bi-IndRNN 0.9562 0.852 0.8685 0.8602
Bi-IndRNN 0.9331 0.7991 0.7414 0.7691
Transformer+Bi-F-LSTM 0.9695 0.9246 0.9116 0.9181
Bi-F-LSTM 0.9573 0.8774 0.8718 0.8746
Transformer+Bi-RNN 0.9706 0.9228 0.9149 0.9188
Bi-RNN 0.9639 0.9124 0.9095 0.911
CNN 0.944 0.8742 0.8514 0.8627
2 Layer CNN 0.9504 0.8936 0.8514 0.872
3 Layer CNN 0.9439 0.8801 0.8474 0.8634
CRF 0.9569 0.9257 0.9152 0.9204
HMM 0.9225 0.8189 0.8624 0.8401