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upload hub_repos/mediqa_rqe/README.md to hub from bigbio repo
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README.md
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---
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language:
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- en
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license: unknown
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license_bigbio_shortname: UNKNOWN
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pretty_name: MEDIQA RQE
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---
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# Dataset Card for MEDIQA RQE
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## Dataset Description
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- **Homepage:** https://sites.google.com/view/mediqa2019
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- **Pubmed:** False
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- **Public:** True
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- **Tasks:** Text Pairs Classification
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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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Mailing List: https://groups.google.com/forum/#!forum/bionlp-mediqa
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The objective of the RQE task is to identify entailment between two questions in the context of QA. We use the following definition of question entailment: “a question A entails a question B if every answer to B is also a complete or partial answer to A” [1]
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[1] A. Ben Abacha & D. Demner-Fushman. “Recognizing Question Entailment for Medical Question Answering”. AMIA 2016.
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## Citation Information
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```
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@inproceedings{MEDIQA2019,
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author = {Asma {Ben Abacha} and Chaitanya Shivade and Dina Demner{-}Fushman},
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title = {Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering},
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booktitle = {ACL-BioNLP 2019},
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year = {2019}
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}
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```
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