This paper describes the Adverse Reaction Extraction from Drug Labels Track, part of the 2017 Text Analysis Conference (TAC). Participants were provided with an annotated set of drug labels and challenged with:(1) extracting adverse reaction mentions and modifier terms such as negation, severity, and drug class;(2) identifying relations between adverse reaction mentions and those modifiers, including negation, hypothetical, and effect relations;(3) determining the unique set of positive adverse reaction mention strings across all sections of a drug label; and (4) normalizing those adverse reaction strings to a standard terminology, MedDRA. Ten teams submitted at least one valid run, with 20 submissions in total.