Round 1: Completed
Round 2: Completed
Post-Challenge Round: Completed
MEDIQA 2019 - Natural Language Inference (NLI)
ACL-BioNLP Shared Task
7920
156
0
177
| Δ | # | Participants | Accuracy | Secondary Score | Successful Entries | Last Submission | Submission Trend | |
|---|---|---|---|---|---|---|---|---|
|
01 |
WTMed
|
0.980 | 0.000 | 3 |
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02 |
qwertyuiop
|
0.975 | 0.000 | 5 |
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03 |
PANLP
|
0.966 | 0.000 | 4 |
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04 |
Your_Baseline
|
0.938 | 0.000 | 5 |
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05 |
Sieg
|
0.911 | 0.000 | 3 |
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06 |
MEDIQA
|
0.909 | 0.000 | 5 |
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07 |
Surf
|
0.906 | 0.000 | 4 |
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08 |
MicNiu
|
0.899 | 0.000 | 5 |
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09 |
ARS_NITK
|
0.877 | 0.000 | 3 |
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10 |
Pentagon
|
0.857 | 0.000 | 4 |
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11 |
Dr.Quad
|
0.855 | 0.000 | 2 |
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12 |
UU_TAILS
|
0.852 | 0.000 | 5 |
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13 |
KU_ai
|
0.847 | 0.000 | 3 |
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14 |
lhlee
|
0.840 | 0.000 | 5 |
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15 |
jack0857
|
0.840 | 0.000 | 1 |
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16 |
MEDG
|
0.835 | 0.000 | 3 |
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17 |
Allen_usa
|
0.835 | 0.000 | 5 |
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18 |
aqidem
|
0.835 | 0.000 | 5 |
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19 |
henghui_zhu
|
0.825 | 0.000 | 4 |
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20 |
fjgjjg
|
0.823 | 0.000 | 1 |
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21 |
BigOrange
|
0.823 | 0.000 | 1 |
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22 |
IITP
|
0.818 | 0.000 | 5 |
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23 |
uw-bhi
|
0.813 | 0.000 | 4 |
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24 |
MSIT_SRIB
|
0.813 | 0.000 | 1 |
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25 |
LuYi
|
0.808 | 0.000 | 5 |
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26 |
ANU-CSIRO
|
0.800 | 0.000 | 4 |
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27 |
Keke
|
0.798 | 0.000 | 5 |
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28 |
umd
|
0.796 | 0.000 | 4 |
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29 |
phc4valid
|
0.791 | 0.000 | 4 |
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30 |
kamal_raj
|
0.783 | 0.000 | 3 |
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31 |
QA
|
0.781 | 0.000 | 2 |
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32 |
Harvard
|
0.773 | 0.000 | 5 |
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33 |
umich_nlp4health
|
0.766 | 0.000 | 1 |
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34 |
bmatth
|
0.764 | 0.000 | 5 |
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35 |
nunu
|
0.749 | 0.000 | 1 |
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36 |
rg31
|
0.744 | 0.000 | 5 |
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37 |
lasigeBioTM
|
0.724 | 0.000 | 1 |
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|
38 |
NRQChallenge
|
0.717 | 0.000 | 5 |
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|
39 |
Asma
|
0.714 | 0.000 | 1 |
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40 |
bytestorm
|
0.714 | 0.000 | 1 |
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41 |
GTBIT
|
0.002 | 0.000 | 3 |
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42 |
ama123
|
0.002 | 0.000 | 4 |
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