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Table 3 Comparison of \(F_1\) results for previously proposed parser variant (TurkuNLP-ST) and newly proposed approach initialized with various BERT models

From: Dependency parsing of biomedical text with BERT

Metric

Method

TurkuNLP-ST

mBERT

BERT-large

BioBERT

BlueBERT

SciBERT

UPOS

98.54

98.75

98.76

98.79

97.70

98.72

UFeats

98.63

98.76

98.77

98.79

97.54

98.75

Lemmas

99.44

99.44

99.45

99.46

99.21

99.47

UAS

91.54

92.66

93.16

93.45

91.34

92.93

LAS

90.28

91.38

91.97

92.31

89.42

91.67

CLAS

87.96

88.80

89.69

90.04

86.10

89.20

MLAS

85.93

86.88

87.77

88.22

82.76

87.22

BLEX

87.31

88.08

88.98

89.36

85.17

88.51

  1. All experiments performed using gold segmentation
  2. Maximum score in bold
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BMC Bioinformatics

ISSN: 1471-2105

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