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"Dr. Detective": combining gamification techniques and crowdsourcing to create a gold standard in medical text.

, , , , and . CrowdSem, volume 1030 of CEUR Workshop Proceedings, page 16-31. CEUR-WS.org, (2013)

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Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis., , , , , and . e-Science, page 300-303. IEEE Computer Society, (2015)Crowdsourcing Ground Truth for Medical Relation Extraction., , and . CoRR, (2017)Crowdsourcing Semantic Label Propagation in Relation Classification., , and . CoRR, (2018)CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data., , , , , , , , and . International Semantic Web Conference (2), volume 8797 of Lecture Notes in Computer Science, page 486-504. Springer, (2014)BauDenkMalNetz - Creating a Semantically Annotated Web Resource of Historical Buildings., and . SePublica, volume 721 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)Achieving Expert-Level Annotation Quality with CrowdTruth: The Case of Medical Relation Extraction., , and . BDM2I@ISWC, volume 1428 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)"Dr. Detective": combining gamification techniques and crowdsourcing to create a gold standard in medical text., , , , and . CrowdSem, volume 1030 of CEUR Workshop Proceedings, page 16-31. CEUR-WS.org, (2013)Empirical Methodology for Crowdsourcing Ground Truth., , , , , , and . CoRR, (2018)CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement., , , , and . CoRR, (2018)False Positive and Cross-relation Signals in Distant Supervision Data., , and . CoRR, (2017)