PUBLICATIONS

Abstract

Dataset: Consumer Health Spelling Error Dataset.


Kilicoglu H


Abstract:

472 consumer health questions submitted to NLM, de-identified and annotated for spelling errors (non-word, real-word). For more information on this dataset, see Kilicoglu et al. (AMIA 2015).

URL: https://data.lhncbc.nlm.nih.gov/public/RIDEM/infobot_docs/CHQA_SpellCorrection_Dataset.zip


Kilicoglu H Dataset: Consumer Health Spelling Error Dataset. 

URL: https://data.lhncbc.nlm.nih.gov/public/RIDEM/infobot_docs/CHQA_SpellCorrection_Dataset.zip