Chris Callison-Burch

University of Pennsylvania

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Chris Callison-Burch (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@cis.upenn.edu

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Associate Professor
University of Pennsylvania (upenn.edu)
2017Present
 
Researcher
Allen Institute for Artificial Intelligence (allenai.org)
20222023
 
Assistant Professor
University of Pennsylvania (upenn.edu)
20132017
 
Research Faculty
Johns Hopkins University (jhu.edu)
20072013
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Postdoc Advisee
Lara Martin
****@umbc.edu
20212023
 
PhD Advisee
Daphne Ippolito
****@cmu.edu
20152022
 
Postdoc Advisee
Mohammad Sadegh Rasooli
****@microsoft.com
20202021
 
PhD Advisee
Reno Kriz
****@jh.edu
20162021
 
PhD Advisee
Anne Cocos
****@gmail.com
20142019
 
Postdoc Advisee
Anietie Andy
****@howard.edu
20172018
 
Postdoc Advisee
Derry Wijaya
****@bu.edu
20162018
 
PhD Advisee
Courtney Napoles
****@grammarly.com
20092018
 
PhD Advisee
Juri Ganitkevitch
****@gmail.com
20092018
 
PhD Advisee
Ellie Pavlick
****@brown.edu
20122017
 
PhD Advisee
Ann Irvine
****@gmail.com
20092014
 
PhD Advisee
Xuchen Yao
****@seasalt.ai
20092014
 
Postdoc Advisee
Matt Post
****@gmail.com
20102012
 
PhD Advisee
Omar Zaidan
****@gmail.com
20082012
 
Postdoc Advisee
Alexandre Klementiev
****@gmail.com
20092011
 
PhD Advisor
Miles Osborne
****@inf.ed.ac.uk
20022008
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Large Language Models
2020Present
 
Natural Language Processing
2000Present
 
Machine Translation
20012015