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MEDIQA2019

The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).

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This work is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). If you use the MEDIQA 2019 datasets, please cite our paper:

  • Asma Ben Abacha, Chaitanya Shivade, and Dina Demner-Fushman. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. ACL-BioNLP 2019.

    @inproceedings{MEDIQA2019, 
    
    author    = {Asma {Ben Abacha} and Chaitanya Shivade and Dina Demner{-}Fushman},  
    
    title     = {Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering}, 
    
    booktitle = {ACL-BioNLP 2019},
    
    year      = {2019}}
    

Evaluation Scripts

Projects@AIcrowd

https://www.aicrowd.com/organizers/mediqa-acl-bionlp

72 teams have participated, the results are available here:

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Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

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