Skip to content
Projekte

abachaa/MEDIQA2019 has 52 GitHub stars and 18 forks. Star changes are not measured yet. Last checked 2026-11-14 02:13 UTC. Last push 2026-05-13.

So werden diese Zahlen gemessen

Gemessener Sternzuwachs

in 24h
Verlauf wird gesammelt
in 7 days
Verlauf wird gesammelt
in 15 days
Verlauf wird gesammelt
in 1 month
Verlauf wird gesammelt

Nettoänderungen in überlappenden Zeiträumen, keine Tagessummen. Fehlende Messwerte bleiben leer. Sterne zeigen Interesse, nicht Qualität.

Über uns

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

Entwicklerwerkzeuge

README.md

Original

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).

Datasets

License

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:

Contact Information

Ähnliche Projekte entdecken