TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition

Table 1

Analysis and comparison of four classical NER models.

	BERT + BiLSTM + CRF	BERT + CRF	BiLSTM + CRF	LSTM + CRF
Accuracy rate	0.4904	0.4904	0.7132	0.7098
Loss value	73349.1 9	73936.48	28270.13	29563.14