Jonathan Kummerfeld
picture of me


[my initials]
Where my initials are 'jkk'

Mailing Address:
7th floor Sutardja Dai Hall, Desk 98
Berkeley, CA 94720-1776

About Me

I am a Monash Scholar, currently studying for a PhD in Computer Science at UC Berkeley. My research focus is Natural Language Processing — in particular, developing new methods to analyse errors in parsing, coreference resolution, and machine translation. I am a member of the Berkeley NLP Group, and my advisor is Dan Klein.

I graduated from the University of Sydney with a Bachelor of Science (Advanced) with First Class Honours and Medal in Computer Science in 2009. For my honours thesis, "Adaptive Supertagging for Faster Parsing", I studied in the Schwa lab, advised by James Curran. Since graduating I have continued to collaborate with members of the lab.

I completed my Higher School Certificate at Emanuel School, receiving the Premier's Award for my results in English, Mathematics, Physics, and Cosmology.

Selected Publications

Error-Driven Analysis of Challenges in Coreference Resolution
Jonathan K. Kummerfeld and Dan Klein
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, October 2013, pages 265–277
[software]   [paper]   [bib]    [abstract]    [other info]

Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
Jonathan K. Kummerfeld, David Hall, James R. Curran, and Dan Klein
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, July 2012, pages 1048–1059
[software]   [paper]   [bib]    [abstract]    [other info]

Faster Parsing by Supertagger Adaptation
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty, James R. Curran, and Stephen Clark
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, July 2010, pages 345–355
[software]   [paper]   [talk]   [bib]    [abstract]    [other info]

Bibtex can be found on my publications page.