Jonathan Gordon

PhD Candidate / Dept of Computer Science / University of Rochester

Contact


Office: CSB 630

About

My research is in artificial intelligence: I study techniques to automatically learn from text commonsense knowledge suitable for reasoning.

My advisor at Rochester is Lenhart Schubert, with whom I work on the KNEXT system for open knowledge extraction and related methods. In this, I’ve collaborated with Benjamin Van Durme from the HLTCOE at Johns Hopkins. I am also working on extending the Epilog reasoning engine with Fabrizio Morbini. I am the meeting organizer for SKIL, our weekly lab meeting and reading group.

Previously, at the Institute for Creative Technologies at USC, I worked with H. Chad Lane on doing statistical NLP to analyze essays in the context of an intelligent tutoring system.

As an undergraduate at Vassar, 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.

Publications

“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

Updated 21 January 2012