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--- |
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language: |
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- en |
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- zh |
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- ja |
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bigbio_language: |
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- English |
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- Chinese |
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- Japanese |
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license: cc-by-4.0 |
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multilinguality: multilingual |
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bigbio_license_shortname: CC_BY_4p0 |
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pretty_name: NTCIR-13 MedWeb |
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homepage: http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html |
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bigbio_pubmed: False |
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bigbio_public: False |
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bigbio_tasks: |
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- TRANSLATION |
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- TEXT_CLASSIFICATION |
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--- |
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# Dataset Card for NTCIR-13 MedWeb |
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## Dataset Description |
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- **Homepage:** http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html |
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- **Pubmed:** False |
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- **Public:** False |
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- **Tasks:** TRANSL,TXTCLASS |
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NTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires |
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to perform a multi-label classification that labels for eight diseases/symptoms must |
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be assigned to each tweet. Given pseudo-tweets, the output are Positive:p or Negative:n |
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labels for eight diseases/symptoms. The achievements of this task can almost be |
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directly applied to a fundamental engine for actual applications. |
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This task provides pseudo-Twitter messages in a cross-language and multi-label corpus, |
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covering three languages (Japanese, English, and Chinese), and annotated with eight |
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labels such as influenza, diarrhea/stomachache, hay fever, cough/sore throat, headache, |
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fever, runny nose, and cold. |
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For more information, see: |
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http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html |
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As this dataset also provides a parallel corpus of pseudo-tweets for english, |
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japanese and chinese it can also be used to train translation models between |
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these three languages. |
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## Citation Information |
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``` |
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@article{wakamiya2017overview, |
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author = {Shoko Wakamiya, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma and Eiji Aramaki}, |
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title = {Overview of the NTCIR-13 MedWeb Task}, |
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journal = {Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-13)}, |
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year = {2017}, |
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url = { |
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http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings13/pdf/ntcir/01-NTCIR13-OV-MEDWEB-WakamiyaS.pdf |
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}, |
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} |
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``` |
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