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- W2443287582 abstract "Amazon's Mechanical Turk service has been successfully applied to many natural language processing tasks. However, the task of named entity recognition presents unique challenges. In a large annotation task involving over 20,000 emails, we demonstrate that a compet itive bonus system and interannotator agree ment can be used to improve the quality of named entity annotations from Mechanical Turk. We also build several statistical named entity recognition models trained with these annotations, which compare favorably to sim ilar models trained on expert annotations." @default.
- W2443287582 created "2016-06-24" @default.
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- W2443287582 date "2010-01-01" @default.
- W2443287582 modified "2023-09-27" @default.
- W2443287582 title "Annotating Large Email Datasets for Named Entity Recognition with" @default.
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