----
Alain Désilets, National Research Council of
Canada
Chair, WikiSym 2007
2007 International Symposium on
Wikis
Wikis at Work in the World:
Open, Organic, Participatory Media for
the 21st Century
http://www.wikisym.org/ws2007/
What would you do with a system that was intelligent enough to analyze a Wikipedia article along with qualitative human judgments of that article ("brilliant prose") and tell you exactly what the humans meant, even when they weren't sure themselves?
From: wiki-research-l-bounces@lists.wikimedia.org [mailto:wiki-research-l-bounces@lists.wikimedia.org] On Behalf Of Brian
Sent: May 9, 2007 12:38 AM
To: Research into Wikimedia content and communities
Subject: [Wiki-research-l] Exploring the Feasibility of Automatically RatingOnline Article Quality
At least years Wikimania Erik Zachte and I discussed exactly this possibility. Invariably these discussions lead to the subjective nature of quality, and quickly diverge to [[Zen and the art of Motorcycle Maintenance]]. But my colleagues and I have determined that this problem should be tractable, and have initiated a research program to find out if we are correct.
What we would like to know is your dreams for such a system, what you would like it to do, and what you would do with it. To help kick-start your imaginations, please see the following paper, written by myself, a psychologist, Trevor Pincock, a linguist, and Laura Rassbach, a computer scientist. Although we consider our findings to be preliminary, we would also like to emphasize the phenomenal rate of growth of the field of [[Natural Language Processing]]. We *will* be able to build the system of your dreams. We just need to hear them first.
Please note that this paper is a draft. Please do not cite it.
"Exploring the Feasibility of Automatically Rating Online Article Quality"
http://whisper.colorado.edu/RassbachPincockMingus07.pdf
/Brian Mingus
en:User:Alterego