Table 6

Performance of tested systems on JNLPBA and revised JNLPBA datasets

SystemJNLPBARevised JNLPBA|$\pm \Delta $||$F_1$|-measures
PRFPRF
BANNER
[106]66.6569.3467.9789.1175.5180.46+12.49
Gimli
[107]72.8571.6272.2391.3382.8486.88+14.65
NERsuite
[108]69.9572.4171.1689.1383.4186.17+15.01
GRAM-CNN
[21]69.7375.6472.5785.5087.5086.49+13.92
BioBERT
[96]66.9979.0872.5488.1288.2588.18+15.64
SystemJNLPBARevised JNLPBA|$\pm \Delta $||$F_1$|-measures
PRFPRF
BANNER
[106]66.6569.3467.9789.1175.5180.46+12.49
Gimli
[107]72.8571.6272.2391.3382.8486.88+14.65
NERsuite
[108]69.9572.4171.1689.1383.4186.17+15.01
GRAM-CNN
[21]69.7375.6472.5785.5087.5086.49+13.92
BioBERT
[96]66.9979.0872.5488.1288.2588.18+15.64

Symbols: Precision(P); Recall(R); F-score(F)

Table 6

Performance of tested systems on JNLPBA and revised JNLPBA datasets

SystemJNLPBARevised JNLPBA|$\pm \Delta $||$F_1$|-measures
PRFPRF
BANNER
[106]66.6569.3467.9789.1175.5180.46+12.49
Gimli
[107]72.8571.6272.2391.3382.8486.88+14.65
NERsuite
[108]69.9572.4171.1689.1383.4186.17+15.01
GRAM-CNN
[21]69.7375.6472.5785.5087.5086.49+13.92
BioBERT
[96]66.9979.0872.5488.1288.2588.18+15.64
SystemJNLPBARevised JNLPBA|$\pm \Delta $||$F_1$|-measures
PRFPRF
BANNER
[106]66.6569.3467.9789.1175.5180.46+12.49
Gimli
[107]72.8571.6272.2391.3382.8486.88+14.65
NERsuite
[108]69.9572.4171.1689.1383.4186.17+15.01
GRAM-CNN
[21]69.7375.6472.5785.5087.5086.49+13.92
BioBERT
[96]66.9979.0872.5488.1288.2588.18+15.64

Symbols: Precision(P); Recall(R); F-score(F)

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