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Table 6 Performance comparison (F1 score) of our method that uses the MKL as combination mechanism against other systems, including the recurrent architecture proposed by Crichton et al. [4], OGER, and fastText

From: Learning adaptive representations for entity recognition in the biomedical domain

Entity Our sys. Crichton et al. OGER fastText
chebi 78.99 74.83 53.73 75.24
cell 80.16 86.89 79.91 80.03
go_cc 68.92 63.08 54.63 67.99
go_bpmf 36.20 - 26.81 30.27
organism 94.99 97.44 44.11 92.64
protein 84.38 75.16 62.00 80.76
sequence 75.08 - 53.53 72.76
  1. Best results are highlighted in bold characters