Research on Application of Intelligent Corpus Annotation of Entity Extraction with Construction of Knowledge Graph

Table 5

The evaluation of different deep learning entity extraction algorithms.

Experiment content	Model	P	R	F1
Different word vectors	BiLSTM-CRF	0.810	0.806	0.807
	Word2vec-BiLSTM-CRF	0.819	0.829	0.823
	Bert-BiLSTM-CRF	0.873	0.898	0.885
Different downstream models	RoBERTa-WWM-CRF	0.778	0.846	0.810
	RoBERTa-WWM-LSTM-CRF	0.812	0.868	0.839
	RoBERTa-WWM-BiGRU-CRF	0.829	0.904	0.865
This experimental model	RoBERTa-WWM-BiLSTM-CRF	0.889	0.900	0.894