title: Using Amazon's Mechanical Turk for Annotating Medical Named Entities.
abstract: Amazon's Mechanical Turk (AMT) service is becoming increasingly popular in Natural Language Processing (NLP) research. In this poster, we report our findings in using AMT to annotate biomedical text extracted from clinical trial descriptions with three entity types: medical condition, medication, and laboratory test. We also describe our observations on AMT workers' annotations.
authors.affiliation: Biomedical & Health Informatics, School of Medicine, University of Washington, Seattle, WA.
authors.forename: Meliha
authors.initials: M
authors.lastname: Yetisgen-Yildiz
authors.forename: Imre
authors.initials: I
authors.lastname: Solti
authors.forename: Fei
authors.initials: F
authors.lastname: Xia