Author page for Mark2Cure’s first paper now LIVE!

The authors page acknowledging the contributors to the Mark2Cure’s first paper is now LIVE! Please note that only users who submitted annotations or contributed feedback during the beta phase will be listed on this site. If you have been following our journey since that time, but did not contribute during this phase, thank you for your support!  Please contribute annotations and feedback...
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Detecting Cheaters in a Crowdsourcing Task

Similar to how Amazon Mechanical Turk was used to help us learn about concept recognition in the context of crowdsourcing, our lab has been utilizing the CrowdFlower platform to learn about relationship extraction. Unfortunately, we found a small subset of task participants (henceforth workers) who we suspected to be cheating and not actually doing the requested task. With his Ipython Notebook...
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Microtask crowdsourcing and biocuration

Thanks to the hard work of my coauthors @x0xMaximus and @andrewsu , I was able to nab the award for the best presentation at The Seventh International Biocuration Conference from the International Society of Biocuration.   The slides for the presentation and the poster are available from slideshare. Yay team!I think the presentation garnered the interest it did because many...
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Microtask crowdsourcing and biocuration

Thanks to the hard work of my coauthors @x0xMaximus and @andrewsu , I was able to nab the award for the best presentation at The Seventh International Biocuration Conference from the International Society of Biocuration.   The slides for the presentation and the poster are available from slideshare. Yay team!I think the presentation garnered the interest it did because many...
read more