Round 1: Completed
Round 2: Completed
Post-Challenge Round: Completed
MEDIQA 2019 - Recognizing Question Entailment (RQE)
ACL-BioNLP Shared Task
Δ | # | Participants | Accuracy | Secondary Score | Entries | Last Submission | Submission Trend | |
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01 | PANLP | 0.749 | 0.000 | 5 |
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02 | Lizimu | 0.745 | 0.000 | 5 |
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03 | Keke | 0.710 | 0.000 | 5 |
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04 | Sieg | 0.706 | 0.000 | 4 |
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05 | nlp_gawds | 0.684 | 0.000 | 5 |
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06 | IIT-KGP | 0.684 | 0.000 | 3 |
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07 | Pentagon | 0.671 | 0.000 | 4 |
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08 | QEntailment | 0.667 | 0.000 | 5 |
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09 | aqidem | 0.667 | 0.000 | 5 |
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10 | ARS_NITK | 0.667 | 0.000 | 5 |
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11 | Dr.Quad | 0.667 | 0.000 | 5 |
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12 | Your_Baseline | 0.662 | 0.000 | 5 |
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13 | QuestionEntailment | 0.649 | 0.000 | 5 |
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14 | QE | 0.649 | 0.000 | 5 |
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15 | grind | 0.649 | 0.000 | 4 |
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16 | BigOrange | 0.636 | 0.000 | 5 |
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17 | ama123 | 0.636 | 0.000 | 4 |
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18 | liuzhe | 0.632 | 0.000 | 4 |
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19 | MicNiu | 0.615 | 0.000 | 4 |
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20 | MEDIQA | 0.610 | 0.000 | 5 |
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21 | nlp123 | 0.606 | 0.000 | 5 |
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22 | QA | 0.602 | 0.000 | 5 |
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23 | UU_TAILS | 0.584 | 0.000 | 4 |
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24 | Cherish | 0.580 | 0.000 | 5 |
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25 | sst | 0.580 | 0.000 | 5 |
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26 | atelier | 0.571 | 0.000 | 4 |
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27 | RQE | 0.567 | 0.000 | 2 |
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28 | alpini | 0.550 | 0.000 | 5 |
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29 | userit | 0.550 | 0.000 | 5 |
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30 | Asma | 0.541 | 0.000 | 1 |
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31 | smoghy | 0.541 | 0.000 | 4 |
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32 | IITP | 0.532 | 0.000 | 5 |
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33 | little_bird | 0.532 | 0.000 | 5 |
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34 | xxxnlp | 0.532 | 0.000 | 5 |
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35 | bmatth | 0.528 | 0.000 | 4 |
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36 | orest.xherija | 0.524 | 0.000 | 2 |
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37 | Endgame | 0.524 | 0.000 | 5 |
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38 | TG | 0.519 | 0.000 | 5 |
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39 | Surf | 0.515 | 0.000 | 2 |
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40 | nunu | 0.515 | 0.000 | 1 |
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41 | fjgjjg | 0.511 | 0.000 | 1 |
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42 | evergreen | 0.506 | 0.000 | 5 |
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43 | lucina | 0.506 | 0.000 | 1 |
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44 | MEDG | 0.489 | 0.000 | 3 |
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45 | ANU-CSIRO | 0.489 | 0.000 | 5 |
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46 | GTBIT | 0.489 | 0.000 | 1 |
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47 | lasigeBioTM | 0.485 | 0.000 | 3 |
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48 | kamal_raj | 0.481 | 0.000 | 1 |
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49 | LuYi | 0.481 | 0.000 | 4 |
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50 | henghui_zhu | 0.476 | 0.000 | 1 |
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