Crowd Truth @Web Science 2013

Posted on May 9, 2013 by Lora Aroyo

Chris Welty and I have presented our idea (at WebSci2013) on how to harness the disagreement between crowd text annotators in order to build gold standard data, which is closer to how people interpret relations between medical terms in text. You can read a nice trip reports on the WebSci2013 and CHI2013 conferences by my colleagues Paul Groth and Victor de Boer. Read the reactions on twitter for the event.

Check out also for updates on the data publishing for these results @figshare and a related paper on extraction of events from news papers.

About Lora Aroyo

I am Research Scientist at Google working in the area of Responsible AI specifically focussing on responsible data for AI. Previously, I was a full professor in Computer Science, head of the Web and Media Group, Department of Computer Science, VU University of Amsterdam, The Netherlands, where I was scientific coordinator of the EU Integrated Project: NoTube: Integration of Web and TV Data with the Help of Semantics, http://notube.tv Go to my web page for more details: http://lora-aroyo.org
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