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Table 7 Results for Swedish

From: Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches

Source

Feature

Algorithm

Precision

Recall

F1-score

EHR

W

Glove

76.03

74.42

75.22

  

word2vec

75.91

75.44

75.68

  

FastText

76.35

74.90

75.62

 

L

Glove

76.04

72.10

74.02

  

word2vec

74.44

74.49

74.46

  

FastText

75.25

72.99

74.10

GenMed

W

Glove

73.14

71.15

72.13

  

word2vec

74.83

68.55

71.56

  

FastText

74.09

69.65

71.80

 

L

Glove

74.76

67.67

71.03

  

word2vec

74.05

68.89

71.38

  

FastText

75.48

69.51

72.37

Gen

W

Glove

73.79

67.60

70.56

  

word2vec

72.50

70.33

71.40

  

FastText

76.18

68.49

72.13

 

L

Glove

73.15

70.05

71.57

  

word2vec

72.47

68.76

70.56

  

FastText

73.96

68.01

70.86

EHR

W,L

word2vec

74.64

77.49

76.04

EHR

W+L

word2vec

74.43

76.26

75.34

EHR

W-L

word2vec

73.45

50.95

60.17

  1. Embeddings of single base-units on top and, below, with combined base-units