BioASQ Participants Area
Test Results for MESINESP9 TASK
The evaluation measures indicating the performance of the systems that submitted results are presented below.
+ Subtrack 1
Flat Measures
System |
MiF |
EBP |
EBR |
EBF |
MaP |
MaR |
MaF |
MiP |
MiR |
Acc. |
iria-1 |
0.3406 |
0.3670 |
0.3238 |
0.3339 |
0.4236 |
0.2348 |
0.2315 |
0.3641 |
0.3199 |
0.2089 |
iria-2 |
0.3389 |
0.3650 |
0.3218 |
0.3319 |
0.4214 |
0.2327 |
0.2293 |
0.3622 |
0.3185 |
0.2073 |
iria-3 |
0.2537 |
0.2758 |
0.2337 |
0.2460 |
0.2869 |
0.0854 |
0.0817 |
0.2729 |
0.2369 |
0.1480 |
iria-4 |
0.3656 |
0.3938 |
0.3481 |
0.3585 |
0.4476 |
0.2877 |
0.2760 |
0.3909 |
0.3435 |
0.2279 |
iria-mix |
0.3725 |
0.4245 |
0.3402 |
0.3662 |
0.5345 |
0.2326 |
0.2354 |
0.4193 |
0.3351 |
0.2341 |
Anuj_NLP |
0.0035 |
0.0024 |
0.0020 |
0.0021 |
0.0038 |
0.0001 |
0.0002 |
0.0053 |
0.0026 |
0.0011 |
bert_dna_2 |
0.3962 |
0.5167 |
0.3436 |
0.3882 |
0.4576 |
0.2527 |
0.2574 |
0.4820 |
0.3364 |
0.2530 |
pi_dna_2 |
0.3978 |
0.4836 |
0.3630 |
0.3915 |
0.4062 |
0.2717 |
0.2700 |
0.4520 |
0.3551 |
0.2546 |
bert_dna |
0.3989 |
0.4990 |
0.3534 |
0.3905 |
0.4200 |
0.2683 |
0.2674 |
0.4662 |
0.3486 |
0.2533 |
pi_dna |
0.4225 |
0.4919 |
0.3876 |
0.4120 |
0.4463 |
0.3149 |
0.3082 |
0.4667 |
0.3859 |
0.2722 |
pi_dna_3 |
0.4027 |
0.4710 |
0.3835 |
0.3968 |
0.4013 |
0.2795 |
0.2718 |
0.4348 |
0.3750 |
0.2583 |
MESINESP_baseline_t1 |
0.2876 |
0.2449 |
0.3839 |
0.2841 |
0.3720 |
0.3787 |
0.3438 |
0.2335 |
0.3746 |
0.1710 |
Classifier |
0.3825 |
0.4995 |
0.3292 |
0.3731 |
0.4431 |
0.1917 |
0.1908 |
0.4622 |
0.3262 |
0.2405 |
CSSClassifier025 |
0.3823 |
0.4867 |
0.3347 |
0.3723 |
0.4230 |
0.1962 |
0.1932 |
0.4509 |
0.3318 |
0.2399 |
CSSClassifier035 |
0.3801 |
0.5075 |
0.3217 |
0.3709 |
0.4527 |
0.1845 |
0.1849 |
0.4710 |
0.3186 |
0.2390 |
LabelGlosses02 |
0.3746 |
0.4932 |
0.3207 |
0.3638 |
0.4159 |
0.1725 |
0.1713 |
0.4560 |
0.3179 |
0.2323 |
bertmesh-1 |
0.4808 |
0.5047 |
0.4701 |
0.4731 |
0.5124 |
0.4010 |
0.3950 |
0.5047 |
0.4591 |
0.3236 |
BERTDeCS version 2 |
0.4798 |
0.5037 |
0.4691 |
0.4721 |
0.5187 |
0.3970 |
0.3908 |
0.5037 |
0.4581 |
0.3226 |
BERTDeCS version 3 |
0.4808 |
0.5047 |
0.4708 |
0.4734 |
0.5224 |
0.3988 |
0.3918 |
0.5047 |
0.4591 |
0.3233 |
BERTDeCS version 4 |
0.4837 |
0.5077 |
0.4736 |
0.4763 |
0.5237 |
0.3990 |
0.3926 |
0.5077 |
0.4618 |
0.3261 |
BERTDeCS-CooMatInfer |
0.4505 |
0.4902 |
0.4354 |
0.4443 |
0.4918 |
0.3558 |
0.3486 |
0.4791 |
0.4252 |
0.2961 |
tf-idf-model |
0.1335 |
0.1405 |
0.1380 |
0.1351 |
0.1417 |
0.2076 |
0.1988 |
0.1405 |
0.1271 |
0.0757 |
LASIGE_BioTM_1 |
0.2007 |
0.1584 |
0.2712 |
0.1948 |
0.1016 |
0.1232 |
0.0941 |
0.1584 |
0.2738 |
0.1117 |
LASIGE_BioTM_2 |
0.1886 |
0.1489 |
0.2553 |
0.1832 |
0.0950 |
0.1219 |
0.0920 |
0.1489 |
0.2573 |
0.1051 |
AnujTagging |
0.0631 |
0.0676 |
0.0638 |
0.0637 |
0.1556 |
0.0552 |
0.0486 |
0.0666 |
0.0600 |
0.0347 |
LabelGlosses01 |
0.3704 |
0.5004 |
0.3171 |
0.3611 |
0.4302 |
0.1776 |
0.1780 |
0.4526 |
0.3134 |
0.2313 |
+ Subtrack 2
Flat Measures
System |
MiF |
EBP |
EBR |
EBF |
MaP |
MaR |
MaF |
MiP |
MiR |
Acc. |
iria-1 |
0.2454 |
0.2303 |
0.2625 |
0.2379 |
0.3167 |
0.1863 |
0.1534 |
0.2289 |
0.2644 |
0.1411 |
iria-3 |
0.1562 |
0.1422 |
0.1681 |
0.1502 |
0.1617 |
0.0730 |
0.0505 |
0.1419 |
0.1736 |
0.0857 |
iria-4 |
0.2003 |
0.1919 |
0.2142 |
0.1958 |
0.1620 |
0.2049 |
0.1571 |
0.1868 |
0.2158 |
0.1132 |
iria-mix |
0.2003 |
0.1919 |
0.2142 |
0.1958 |
0.1620 |
0.2049 |
0.1571 |
0.1868 |
0.2158 |
0.1132 |
Anuj_ml |
0.0019 |
0.0018 |
0.0018 |
0.0018 |
0.0058 |
0.0033 |
0.0011 |
0.0020 |
0.0018 |
0.0009 |
bert_dna_2 |
0.2383 |
0.3999 |
0.1773 |
0.2325 |
0.3611 |
0.1206 |
0.1208 |
0.3754 |
0.1746 |
0.1365 |
pi_dna_2 |
0.2680 |
0.4236 |
0.2073 |
0.2627 |
0.4262 |
0.1636 |
0.1650 |
0.4004 |
0.2015 |
0.1566 |
bert_dna |
0.2710 |
0.3793 |
0.2261 |
0.2657 |
0.3492 |
0.1923 |
0.1853 |
0.3448 |
0.2232 |
0.1583 |
pi_dna |
0.2781 |
0.3838 |
0.2347 |
0.2736 |
0.3618 |
0.2045 |
0.1969 |
0.3504 |
0.2305 |
0.1637 |
Classifier |
0.2485 |
0.2599 |
0.2302 |
0.2308 |
0.3695 |
0.1700 |
0.1531 |
0.2721 |
0.2287 |
0.1384 |
CSSClassifier025 |
0.2819 |
0.2960 |
0.2686 |
0.2722 |
0.3920 |
0.1797 |
0.1570 |
0.2933 |
0.2715 |
0.1636 |
CSSClassifier035 |
0.2810 |
0.2919 |
0.2709 |
0.2714 |
0.3777 |
0.1801 |
0.1565 |
0.2888 |
0.2736 |
0.1631 |
bertmesh-1 |
0.3600 |
0.3626 |
0.3608 |
0.3515 |
0.4052 |
0.3357 |
0.3063 |
0.3626 |
0.3574 |
0.2211 |
BERTDeCS version 2 |
0.3640 |
0.3666 |
0.3655 |
0.3558 |
0.4177 |
0.3391 |
0.3102 |
0.3666 |
0.3614 |
0.2242 |
BERTDeCS version 3 |
0.3630 |
0.3657 |
0.3639 |
0.3545 |
0.4203 |
0.3428 |
0.3136 |
0.3657 |
0.3604 |
0.2234 |
BERTDeCS version 4 |
0.3563 |
0.3589 |
0.3576 |
0.3481 |
0.4362 |
0.3384 |
0.3114 |
0.3589 |
0.3537 |
0.2181 |
BERTDeCS-CooMatInfer |
0.1095 |
0.1480 |
0.0735 |
0.0961 |
0.1132 |
0.0087 |
0.0025 |
0.1509 |
0.0859 |
0.0540 |
LabelGlosses01 |
0.2807 |
0.2975 |
0.2648 |
0.2709 |
0.4011 |
0.1779 |
0.1567 |
0.2949 |
0.2678 |
0.1629 |
subtrack2_baseline |
0.1288 |
0.0971 |
0.3791 |
0.1452 |
0.0977 |
0.3619 |
0.2403 |
0.0781 |
0.3678 |
0.0802 |
clinical_trials_1.0 |
0.0679 |
0.0575 |
0.0730 |
0.0629 |
0.0050 |
0.0136 |
0.0056 |
0.0575 |
0.0828 |
0.0342 |
clinical_trials_0.25 |
0.0686 |
0.0581 |
0.0739 |
0.0637 |
0.0054 |
0.0133 |
0.0061 |
0.0581 |
0.0838 |
0.0345 |
+ Subtrack 3
Flat Measures
System |
MiF |
EBP |
EBR |
EBF |
MaP |
MaR |
MaF |
MiP |
MiR |
Acc. |
iria-1 |
0.1871 |
0.1941 |
0.1826 |
0.1844 |
0.2589 |
0.1966 |
0.1825 |
0.1926 |
0.1820 |
0.1093 |
iria-2 |
0.3203 |
0.3509 |
0.2878 |
0.3061 |
0.4980 |
0.3166 |
0.3171 |
0.3657 |
0.2849 |
0.1910 |
iria-3 |
0.0793 |
0.0824 |
0.0758 |
0.0777 |
0.1120 |
0.0598 |
0.0501 |
0.0822 |
0.0765 |
0.0437 |
iria-4 |
0.2169 |
0.2251 |
0.2085 |
0.2119 |
0.3105 |
0.2442 |
0.2289 |
0.2232 |
0.2109 |
0.1288 |
iria-mix |
0.2542 |
0.2790 |
0.2414 |
0.2528 |
0.4659 |
0.2284 |
0.2213 |
0.2750 |
0.2364 |
0.1526 |
Anuj_Ensemble |
0.0389 |
0.0387 |
0.0385 |
0.0379 |
0.1073 |
0.0594 |
0.0617 |
0.0387 |
0.0391 |
0.0206 |
bert_dna_2 |
0.2479 |
0.3777 |
0.1690 |
0.2242 |
0.4872 |
0.1872 |
0.1923 |
0.4143 |
0.1769 |
0.1381 |
bert_dna |
0.2479 |
0.3777 |
0.1690 |
0.2242 |
0.4872 |
0.1872 |
0.1923 |
0.4143 |
0.1769 |
0.1381 |
pi_dna |
0.3628 |
0.5285 |
0.2770 |
0.3503 |
0.4891 |
0.1888 |
0.1939 |
0.5250 |
0.2772 |
0.2227 |
Classifier |
0.1968 |
0.2595 |
0.1536 |
0.1808 |
0.3000 |
0.1394 |
0.1356 |
0.2700 |
0.1548 |
0.1076 |
CSSClassifier025 |
0.2834 |
0.3397 |
0.2564 |
0.2747 |
0.2790 |
0.1756 |
0.1575 |
0.3188 |
0.2551 |
0.1689 |
CSSClassifier035 |
0.2651 |
0.2701 |
0.2784 |
0.2602 |
0.2269 |
0.1959 |
0.1650 |
0.2547 |
0.2764 |
0.1572 |
LabelGlosses02 |
0.2921 |
0.4116 |
0.2337 |
0.2795 |
0.3453 |
0.1566 |
0.1499 |
0.3890 |
0.2338 |
0.1725 |
bertmesh-1 |
0.4489 |
0.4462 |
0.4626 |
0.4463 |
0.4792 |
0.4160 |
0.4010 |
0.4462 |
0.4515 |
0.2977 |
BERTDeCS version 2 |
0.4514 |
0.4487 |
0.4662 |
0.4494 |
0.5041 |
0.4271 |
0.4138 |
0.4487 |
0.4541 |
0.3005 |
BERTDeCS version 3 |
0.4480 |
0.4454 |
0.4621 |
0.4458 |
0.5161 |
0.4226 |
0.4096 |
0.4454 |
0.4507 |
0.2964 |
BERTDeCS version 4 |
0.4514 |
0.4487 |
0.4658 |
0.4493 |
0.4970 |
0.4235 |
0.4093 |
0.4487 |
0.4541 |
0.3006 |
BERTDeCS-CooMatInfer |
0.4489 |
0.4462 |
0.4627 |
0.4464 |
0.5127 |
0.4209 |
0.4072 |
0.4462 |
0.4515 |
0.2980 |
LabelGlosses01 |
0.2908 |
0.3856 |
0.2449 |
0.2805 |
0.3157 |
0.1654 |
0.1532 |
0.3596 |
0.2440 |
0.1729 |
subtrack3_baseline |
0.2992 |
0.4117 |
0.2298 |
0.2827 |
0.5290 |
0.2497 |
0.2518 |
0.4293 |
0.2296 |
0.1779 |
patents_1.0 |
0.0314 |
0.0239 |
0.0432 |
0.0302 |
0.0060 |
0.0135 |
0.0071 |
0.0239 |
0.0459 |
0.0159 |