NTCIR-13 MedWeb

Given pseudo-tweets, the output are Positive:p or Negative:n labels for eight diseases/symptoms. The achievements of this task can almost be directly applied to a fundamental engine for actual applications.

This task provides pseudo-Twitter messages in a cross-language and multi-label corpus, covering three languages (Japanese, English, and Chinese), and annotated with eight labels such as influenza, diarrhea/stomachache, hay fever, cough/sore throat, headache, fever, runny nose, and cold. For more information, see: research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html As this dataset also provides a parallel corpus of pseudo-tweets for english, japanese and chinese it can also be used to train translation models between these three languages.