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Using Amazon’s Mechanical Turk for Annotating Medical Named Entities

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, an...

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書目詳細資料
Main Authors: Yetisgen-Yildiz, Meliha, Solti, Imre, Xia, Fei
格式: Artigo
語言:Inglês
出版: 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3140100/
https://ncbi.nlm.nih.gov/pubmed/21785667
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