Using Amazon's Mechanical Turk for Annotating Medical Named Entities.

نویسندگان

  • Meliha Yetisgen-Yildiz
  • Imre Solti
  • Fei Xia
چکیده

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.

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عنوان ژورنال:
  • AMIA ... Annual Symposium proceedings. AMIA Symposium

دوره 2010  شماره 

صفحات  -

تاریخ انتشار 2010