Crowd Truth @Web Science 2013

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 is full professor in Computer Science, head of the Web and Media Group, Department of Computer Science, VU University of Amsterdam, The Netherlands. I am also a 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
Aside | This entry was posted in conference, paper, presentation. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s