Jonathan Gordon
Contact:
jgordon@cs.rochester.edu
Office:
CSB 630
CS 244/444:
I’m a third-year graduate student interested in artificial intelligence with an emphasis on open knowledge extraction from text.
At Rochester, my advisor is Lenhart Schubert, with whom I am working on the KNEXT knowledge extraction system.
At the Institute for Creative Technologies at USC, I worked with H. Chad Lane on doing statistical NLP to analyze essays in the TACL system for continuous learning.
I was an undergraduate at Vassar College in Poughkeepsie, New York, majoring in CS. There my advisor was Nancy Ide, with whom I worked (in a minor capacity) on the American National Corpus. I also participated in the URSI program, doing research into the application of machine learning techniques to the prediction of musical chord progressions, working with Luke Hunsberger.
A copy of my Curriculum Vitæ is available.
Previous work:
- Jonathan Gordon, Benjamin Van Durme, Lenhart Schubert:
Weblogs as a Source for Extracting General World Knowledge.
In the Proc. of the Fifth International Conference on Knowledge Capture (K-CAP 2009). Poster. - Jonathan Gordon, Luke Hunsberger:
Analyzing Chord Progressions in Popular Music using Techniques from Artificial Intelligence.
URSI poster session, 2006.
You know, when I was a lad they called it AI. Artificial intelligence.Hackworth allowed himself a tight, narrow, and brief smile.
Well, there’s something to be said for cheekiness, I suppose.– Neal Stephenson,
The Diamond Age
Contents © 2007–2009 Jonathan Gordon. XHTML.