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Table 4 Accuracy results per word

From: Knowledge-based biomedical word sense disambiguation: comparison of approaches

Word F Max Total MFS NB AEC MRD PPR s JDI CombSW CombV
adjustment 62 93 0.6667 0.7634 0.6237 0.2308 0.3226 0.6923 0.6882 0.5269
blood pressure 54 100 0.5400 0.5700 0.3700 0.4343 0.4600 0.2020 0.3838 0.4444
cold 86 95 0.9053 0.9263 0.3895 0.6044 0.9158   0.3895 0.7895
Condition 90 92 0.9783 0.9783 0.7065 0.3370 0.9121 0.8370 0.7802 0.6923
culture 89 100 0.8900 0.9300 0.6000 0.8200 0.1212 0.9700 1.0000 0.5455
degree 63 65 0.9692 0.9692 0.8923 0.4923 0.9692 0.7077 0.8769 0.8154
depression 85 85 1.0000 1.0000 0.9529 0.9941 0.9294 0.9176 0.9647 0.9882
determination 79 79 1.0000 1.0000 0.1392 0.9936 0.0000 1.0000 0.9620 0.1392
discharge 74 78 0.9487 0.9867 0.7067 0.9861 0.8800 0.5556 0.7067 0.9600
energy 99 100 0.9900 0.9900 0.4000 0.4536 0.1000 0.7732 0.4600 0.5400
evaluation 50 100 0.5000 0.7800 0.5000 0.5800 0.5000 0.5800 0.5200 0.5000
extraction 82 87 0.9425 0.9425 0.7471 0.2907 0.5747 0.9535 0.9770 0.8621
failure 25 29 0.8621 0.8621 0.8621 0.5862 0.8621 1.0000 0.8621 1.0000
fat 71 73 0.9726 0.9726 0.8356 0.9718 0.2029 0.9296 0.9130 0.8406
fit 18 18 1.0000 0.8330 0.8889 0.8387 1.0000 1.0000 0.8889 1.0000
fluid 100 100 1.0000 0.9710 0.4800 0.6082 0.5354 0.3608 0.4848 0.3535
frequency 94 94 1.0000 0.9690 0.6064 0.9362 1.0000 0.1809 0.6277 0.8085
ganglion 93 100 0.9300 0.9500 0.8600 0.9565 0.3838 0.9130 0.8788 0.8586
glucose 91 100 0.9100 0.9100 0.7800 0.2755 0.9200 0.7347 0.7800 0.3900
growth 63 100 0.6300 0.7300 0.3700 0.6700 0.3700 0.6500 0.5500 0.6600
immunosuppression 59 100 0.5900 0.7900 0.5700 0.4896 0.4646 0.7083 0.5960 0.6465
implantation 81 98 0.8265 0.9796 0.9490 0.8316 0.8367 0.9053 0.9388 0.9694
inhibition 98 99 0.9899 0.9899 0.8384 0.9697 0.0101 0.9899 0.9697 0.8283
japanese 73 79 0.9241 0.9241 0.6329 0.9211 0.1646 0.8947 0.6329 0.9367
lead 27 29 0.9310 0.9310 0.8276 0.3793 0.9310 0.1724 0.8276 0.8621
man 58 92 0.6304 0.8696 0.6522 0.3187 0.3187   0.6484 0.4176
mole 83 84 0.9881 0.9881 0.4405 0.8916 0.8889 0.9398 1.0000 1.0000
mosaic 57 97 0.5876 0.8247 0.8144 0.5795 0.5979 0.7273 0.8454 0.7216
nutrition 45 89 0.5056 0.5506 0.3708 0.3933 0.5056 0.4719 0.4545 0.4318
pathology 85 99 0.8586 0.8586 0.6061 0.3939 0.8404 0.8182 0.7553 0.8298
pressure 96 96 1.0000 0.9580 0.5208 0.9836 0.1042 0.8172 0.6354 0.8750
radiation 61 98 0.6224 0.8367 0.7449 0.6979 0.7551 0.7917 0.7653 0.7653
reduction 9 11 0.8182 0.8182 0.9091 0.8182 0.9091 0.8182 1.0000 0.8182
repair 52 68 0.7647 0.9559 0.8529 0.8358 0.6618 0.8358 0.8676 0.8824
resistance 3 3 1.0000 1.0000 1.0000 0.3333 0.0000 1.0000 1.0000 1.0000
scale 65 65 1.0000 1.0000 0.7231 0.0615 1.0000 0.0615 0.6875 0.6563
secretion 99 100 0.9900 0.9900 0.4600 0.3535 0.9451 0.9798 0.5814 0.9651
sensitivity 49 51 0.9608 0.9608 0.7255 0.8431 0.0196 0.2745 0.9216 0.7255
sex 80 100 0.8000 0.8400 0.6000 0.5455 0.2700   0.6000 0.5300
single 99 100 0.9900 0.9900 0.8900 0.0400 0.9700 0.9300 0.8900 0.9500
strains 92 93 0.9892 0.9892 0.9570 0.9780 0.6129 1.0000 0.9892 0.9570
support 8 10 0.8000 0.8000 1.0000 0.3000 0.2000 0.9000 1.0000 0.9000
surgery 98 100 0.9800 0.9800 0.1900 0.9394 0.6900 0.8990 0.4300 0.9600
transient 99 100 0.9900 0.9900 0.9100 0.9900 0.9899 0.9600 0.9485 0.9691
transport 93 94 0.9894 1.0000 1.0000 0.9780 0.0106 1.0000 1.0000 0.9787
ultrasound 84 100 0.8400 0.8500 0.7400 0.6667 0.8500 0.7813 0.8100 0.8300
variation 80 100 0.8000 0.9100 0.6900 0.7600 0.8586 0.3500 0.6465 0.8586
weight 29 53 0.5472 0.8491 0.6604 0.4717 0.6444   0.6591 0.6818
white 49 90 0.5444 0.8111 0.5111 0.4831 0.5393 0.6517 0.5730 0.5843
Accuracy all 68.96 81.35 0.8550 0.8830 0.6836 0.6389 0.5826   0.7626 0.7601
Accuracy JDI set 69.47 81.02 0.8669 0.9063 0.6932 0.6526 0.5867 0.7475 0.7794 0.7739
  1. F Max is the number of instances of the sense with the frequency, Total is the number of instances, MFS stands for Maximum Frequency Sense, NB stands for Naïve Bayes, AEC stands for Automatic Extracted Corpus, MRD stands for Machine Readable Dictionary, PPR s stands for Page Rank and MetaMap with Strict model, CombSW stands for weighted linear combination and CombV stands for voting combination.