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Table 5 Results for Spanish

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

SourceFeatureAlgorithmPrecisionRecallF1-score
EHRWGlove71.9760.3365.64
  word2vec72.4869.3470.87
  FastText73.8269.8471.77
 LGlove74.2267.2170.54
  word2vec80.1870.9075.25
  FastText76.7166.8671.44
GenMedWGlove70.4264.7367.46
  word2vec75.1568.9171.90
  FastText75.0266.0870.26
 LGlove73.5365.8669.49
  word2vec75.1563.3168.72
  FastText72.1866.6469.30
GenWGlove71.5465.6568.47
  word2vec70.6361.6065.81
  FastText73.9762.7467.90
 LGlove73.0064.6668.57
  word2vec74.1163.3868.32
  FastText75.8763.3869.06
EHRW,Lword2vec76.0069.0072.27
 W+Lword2vec76.5265.9370.83
 W-Lword2vec75.1867.7171.25
  1. Embeddings of base-units on top and, below, with the base-units combined