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Table 9 Single task and multi-task f-scores on NER tasks

From: A neural network multi-task learning approach to biomedical named entity recognition

Dataset Baseline STM MO-MTM D-MTM
AnatEM 81.79 81.55 81.83 82.21*
BC2GM 70.31 72.63 73.17 72.87
BC4CHEMD 81.08 82.95 82.37 83.02
BC5CDR 83.11 83.66 83.90 83.83
BioNLP09 81.84 83.90 84.20 84.10
BioNLP11EPI 74.98 77.72 78.86* 78.03*
BioNLP11ID 81.44 81.50 80.58* 81.73
BioNLP13CG 75.23 76.74 78.90* 77.52*
BioNLP13GE 72.49 73.28 78.58* 74.00*
BioNLP13PC 79.35 80.61 81.92* 81.50*
CRAFT 78.76 79.55 79.10 79.56
Ex-PTM 65.75 68.56 74.90* 69.67*
JNLPBA 67.43 69.60 70.09 69.44
Linnaeus 79.01 83.98 81.57 84.04
NCBI-Disease 79.09 80.26 79.02 80.37
Average 76.78 78.43 79.26 78.79
  1. (Bold: best scores, *: statistically significant compared to single-task model)