Khalid Khamkham

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In this paper, we introduce the CrowdTruth open-source software framework for machine-human computation, that implements a novel approach to gathering human annotation data in a wide range of annotation tasks and on a variety of media (e.g. text, images, videos). The CrowdTruth approach captures human semantics through a pipeline of three processes: a)(More)
With the advent of crowdsourcing as a viable method for data collection, the need for integrated annotation frameworks has increased. The relatively low cost and scalability of crowdsourcing methods allow for various types of annotation tasks to be run in different domains across different data modalities. From these tasks, a large amount of unprecedented(More)
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