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Social media sites (e.g., Twitter) have been used for surveillance of drug safety at the population level, but studies that focus on the effects of medications on specific sets of individuals have had to rely on other sources of data. Mining social media data for this information would require the ability to distinguish indications of personal medication intake in this media. Towards that end, this paper presents an annotated corpus that can be used to train machine learning systems todoi:10.18653/v1/w17-2316 dblp:conf/bionlp/KleinSROG17 fatcat:hgq3ovgwx5cq7ebhjuw3lify6e