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Table 13 Contextualized word models results for entity classification on CORD-19 test dataset

From: Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

System

Precision (%)

Recall (%)

F-score (%)

bert-base-multilingual-cased

72.12

75.92

73.89

BioBERT Large

77.28

80.52

78.86

  1. Bold values are the best results for Precision (P), Recall (R) and F-score
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BMC Bioinformatics

ISSN: 1471-2105

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